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Deep Residual Learning for Image Recognition
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2016-06-01
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Microsoft Research (United Kingdom)
Advanced Neural Network Applications
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Adam: A Method for Stochastic Optimization
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Diederik P. Kingma, Jimmy Ba
University of Amsterdam
Stochastic Gradient Optimization Techniques
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Exploiting Generative AI to Scale up Intelligent Tutoring Systems
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2023-01-01
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Jakubův, Jan, Chvalovský, Karel, Goertzel, Zarathustra, Kaliszyk, Cezary, Olšák, Mirek, Piotrowski, Bartosz, Schulz, Stephan, Suda, Martin, Urban, Josef
Czech Technical University in Prague
Natural Language Processing Techniques
https://openalex.org/W4385245566
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITP.2023.19
https://drops.dagstuhl.de/storage/00lipics/lipics-vol268-itp2023/LIPIcs.ITP.2023.19/LIPIcs.ITP.2023.19.pdf
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https://doi.org/10.1145/3065386
ImageNet classification with deep convolutional neural networks
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2017-05-24
article
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Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
Google (United States)
Advanced Neural Network Applications
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https://doi.org/10.48550/arxiv.1409.1556
Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014-09-04
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Karen Simonyan, Andrew Zisserman
University of Oxford
Advanced Vision and Imaging
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Mandi, Jayanta, Canoy, Rocsildes, Bucarey, Víctor, Guns, Tias
Stochastic Gradient Optimization Techniques
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https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2021.42
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https://doi.org/10.1038/s41586-021-03819-2
Highly accurate protein structure prediction with AlphaFold
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2021-07-15
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Google DeepMind (United Kingdom)
Protein Structure and Dynamics
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https://doi.org/10.1038/s41586-021-03819-2
https://www.nature.com/articles/s41586-021-03819-2.pdf
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AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
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2018-10-11
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Kefallinos, Dionysios, Alexandris, Georgios, Maras, Alexis, Chaidos, Panagiotis, Gomony, Manil Dev, Corporaal, Henk, Soudris, Dimitrios, Xydis, Sotirios
Google (United States)
Topic Modeling
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https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2019.21
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Dropout: a simple way to prevent neural networks from overfitting
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2014-01-01
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Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov
University of Toronto
Machine Learning and Data Classification
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.8604
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https://doi.org/10.1038/nature14236
Human-level control through deep reinforcement learning
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2015-02-24
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Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis Hassabis
Google DeepMind (United Kingdom)
Neural dynamics and brain function
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https://doi.org/10.1038/nature14236
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Sergey Ioffe, Christian Szegedy
Google (United States)
Neural Networks and Applications
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan Yuille
Google (United States)
Advanced Neural Network Applications
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https://doi.org/10.1109/tpami.2017.2699184
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
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2017-10-01
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Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
Georgia Institute of Technology
Multimodal Machine Learning Applications
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https://doi.org/10.1109/iccv.2017.74
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Xception: Deep Learning with Depthwise Separable Convolutions
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2017-07-01
conference-paper
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François Chollet
Google (United States)
Domain Adaptation and Few-Shot Learning
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https://doi.org/10.48550/arxiv.1506.01497
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun
Microsoft Research (United Kingdom)
Advanced Neural Network Applications
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http://arxiv.org/abs/1506.01497
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Deep learning in neural networks: An overview
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2014-10-13
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Jürgen Schmidhuber
Dalle Molle Institute for Artificial Intelligence Research
Neural Networks and Applications
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https://doi.org/10.1016/j.neunet.2014.09.003
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
2,018
2018-11-03
article
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Maziar Raissi, Paris Perdikaris, George Em Karniadakis
Brown University
Model Reduction and Neural Networks
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https://doi.org/10.1016/j.jcp.2018.10.045
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https://doi.org/10.1038/nature16961
Mastering the game of Go with deep neural networks and tree search
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2016-01-26
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David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel...
Google DeepMind (United Kingdom)
Artificial Intelligence in Games
https://openalex.org/W2257979135
https://doi.org/10.1038/nature16961
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https://doi.org/10.57702/o9raffed
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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2024-01-01
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Sergey Ioffe
Google (United States)
Domain Adaptation and Few-Shot Learning
https://openalex.org/W2949117887
http://export.arxiv.org/pdf/1502.03167
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https://doi.org/10.1016/j.media.2017.07.005
A survey on deep learning in medical image analysis
2,017
2017-07-26
article
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Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud A. A. Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen van der Laak, Bram van Ginneken, Clara I. Sá‎nchez
Radboud University Nijmegen
AI in cancer detection
https://openalex.org/W2592929672
https://doi.org/10.1016/j.media.2017.07.005
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BT Research
Advanced Image and Video Retrieval Techniques
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https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2024.2
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Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
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Rivo Kaugeranna, Eliina Kaugeranna, Aion, (Claude Sonnet 4.6)
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https://doi.org/10.3115/v1/d14-1181
Convolutional Neural Networks for Sentence Classification
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2014-01-01
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Yoon Kim
New York University
Topic Modeling
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https://doi.org/10.3115/v1/d14-1181
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Sequence to Sequence Learning with Neural Networks
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2014-09-10
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Ilya Sutskever, Oriol Vinyals, Quoc V. Le
Google (United States)
Natural Language Processing Techniques
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http://arxiv.org/abs/1409.3215
https://arxiv.org/pdf/1409.3215
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Université de Montréal
Neural Networks and Applications
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A survey on Image Data Augmentation for Deep Learning
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2019-07-06
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Connor Shorten, Taghi M. Khoshgoftaar
Florida Atlantic University
Advanced Neural Network Applications
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https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-019-0197-0
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
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Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi
Google (United States)
Domain Adaptation and Few-Shot Learning
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https://ojs.aaai.org/index.php/AAAI/article/view/11231
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Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, Marimuthu Palaniswami
The University of Melbourne
Energy Efficient Wireless Sensor Networks
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Airway Management and Intubation Techniques
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Friedrich-Alexander-Universität Erlangen-Nürnberg
Reinforcement Learning in Robotics
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Nils Reimers, Iryna Gurevych
Technische Universität Darmstadt
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Google (United States)
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Institut d'Astrophysique de Paris
Neural Networks and Applications
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Advanced Neural Network Applications
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Image Super-Resolution Using Deep Convolutional Networks
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Chinese University of Hong Kong
Advanced Image Processing Techniques
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ColabFold: making protein folding accessible to all
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Milot Mirdita, Konstantin Schütze, Yoshitaka Moriwaki, Lim Heo, Sergey Ovchinnikov, Martin Steinegger
Max Planck Institute for Political and Social Science
Genomics and Phylogenetic Studies
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Enriching Word Vectors with Subword Information
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2017-12-01
article
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Piotr Bojanowski, Édouard Grave, Armand Joulin, Tomáš Mikolov
Meta (Israel)
Topic Modeling
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Fran Casino, Thomas K. Dasaklis, Constantinos Patsakis
University of Piraeus
Blockchain Technology Applications and Security
https://openalex.org/W2901598045
https://doi.org/10.1016/j.tele.2018.11.006
https://www.sciencedirect.com/science/article/pii/S0736585318306324/pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W1982892759
https://doi.org/10.1109/comst.2014.2329501
Survey on Free Space Optical Communication: A Communication Theory Perspective
2,014
2014-01-01
article
2,429
true
bronze
Mohammad‐Ali Khalighi, Murat Uysal
École Centrale Paris
Optical Wireless Communication Technologies
https://openalex.org/W1982892759
https://doi.org/10.1109/comst.2014.2329501
https://ieeexplore.ieee.org/ielx7/9739/6963743/06844864.pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2899357412
https://doi.org/10.1016/j.rser.2018.10.014
Blockchain technology in the energy sector: A systematic review of challenges and opportunities
2,018
2018-11-03
review
2,377
true
hybrid
Merlinda Andoni, Valentin Robu, David Flynn, Simone Abram, Dale Geach, David Jenkins, Peter McCallum, Andrew Peacock
Heriot-Watt University
Blockchain Technology Applications and Security
https://openalex.org/W2899357412
https://doi.org/10.1016/j.rser.2018.10.014
https://www.sciencedirect.com/science/article/pii/S1364032118307184/pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2146973388
https://doi.org/10.1145/359657.359659
Using encryption for authentication in large networks of computers
1,978
1978-12-01
article
2,364
true
bronze
Roger M. Needham, Michael Schroeder
Palo Alto Research Center
Chaos-based Image/Signal Encryption
https://openalex.org/W2146973388
https://doi.org/10.1145/359657.359659
https://dl.acm.org/doi/pdf/10.1145/359657.359659
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2026803050
https://doi.org/10.17487/rfc2205
Resource ReSerVation Protocol (RSVP) -- Version 1 Functional Specification
1,997
1997-09-01
report
2,358
true
gold
L. Zhang, Steven Berson, S. Herzog, Sugih Jamin
University of Michigan
Network Traffic and Congestion Control
https://openalex.org/W2026803050
https://doi.org/10.17487/rfc2205
https://www.rfc-editor.org/rfc/pdfrfc/rfc2205.txt.pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2158923961
https://doi.org/10.1109/65.806983
Securing ad hoc networks
1,999
1999-01-01
article
2,352
false
closed
Lidong Zhou, Zygmunt J. Haas
Cornell University
Mobile Ad Hoc Networks
https://openalex.org/W2158923961
https://doi.org/10.1109/65.806983
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2047463679
https://doi.org/10.1103/physrevlett.94.230504
Decoy State Quantum Key Distribution
2,005
2005-06-16
article
2,322
true
green
Hoi‐Kwong Lo, Xiongfeng Ma, Kai Chen
University of Toronto
Quantum Information and Cryptography
https://openalex.org/W2047463679
https://doi.org/10.1103/physrevlett.94.230504
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2527800909
https://doi.org/10.1371/journal.pone.0163477
Where Is Current Research on Blockchain Technology?—A Systematic Review
2,016
2016-10-03
review
2,316
true
gold
Jesse Yli-Huumo, Deokyoon Ko, Sujin Choi, Sooyong Park, Kari Smolander
Lappeenranta-Lahti University of Technology
Blockchain Technology Applications and Security
https://openalex.org/W2527800909
https://doi.org/10.1371/journal.pone.0163477
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0163477&type=printable
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W4213147678
https://doi.org/10.1109/access.2019.2909530
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
2,019
2019-01-01
article
2,276
true
gold
Hazim Shakhatreh, Ahmad Sawalmeh, Ala Al‐Fuqaha, Zuochao Dou, Eyad Almaita, Issa Khalil, Noor Shamsiah Othman, Abdallah Khreishah, Mohsen Guizani
Yarmouk University
UAV Applications and Optimization
https://openalex.org/W4213147678
https://doi.org/10.1109/access.2019.2909530
https://ieeexplore.ieee.org/ielx7/6287639/8600701/08682048.pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2169194339
https://doi.org/10.1007/s001450010003
Security Arguments for Digital Signatures and Blind Signatures
2,000
2000-03-21
article
2,194
true
bronze
David Pointcheval, Jacques Stern
École Normale Supérieure - PSL
Cryptography and Data Security
https://openalex.org/W2169194339
https://doi.org/10.1007/s001450010003
https://link.springer.com/content/pdf/10.1007/s001450010003.pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2517744317
https://doi.org/10.1109/sp.2016.55
Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
2,016
2016-05-01
conference-paper
2,190
false
closed
Ahmed E. Kosba, Andrew Miller, Elaine Shi, Zikai Alex Wen, Charalampos Papamanthou
University of Maryland, College Park
Blockchain Technology Applications and Security
https://openalex.org/W2517744317
https://doi.org/10.1109/sp.2016.55
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2155903900
https://doi.org/10.1145/2656877.2656887
Named data networking
2,014
2014-07-28
article
2,183
true
green
Lixia Zhang, Alexander Afanasyev, Jeffrey A Burke, Van Jacobson, kc claffy, Patrick Crowley, Christos Papadopoulos, Lan Wang, Beichuan Zhang
UCLA Health
Caching and Content Delivery
https://openalex.org/W2155903900
https://doi.org/10.1145/2656877.2656887
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2117362057
https://doi.org/10.1145/6490.6503
How to construct random functions
1,986
1986-08-10
article
2,117
true
bronze
Oded Goldreich, Shafi Goldwasser, Silvio Micali
Massachusetts Institute of Technology
Computability, Logic, AI Algorithms
https://openalex.org/W2117362057
https://doi.org/10.1145/6490.6503
https://dl.acm.org/doi/pdf/10.1145/6490.6503
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W1969344535
https://doi.org/10.5210/fm.v2i9.548
Formalizing and Securing Relationships on Public Networks
1,997
1997-09-01
article
2,103
true
diamond
Nick Szabo
Blockchain Technology Applications and Security
https://openalex.org/W1969344535
https://doi.org/10.5210/fm.v2i9.548
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2773929027
https://doi.org/10.1016/j.ijinfomgt.2017.12.005
1 Blockchain’s roles in meeting key supply chain management objectives
2,017
2017-12-12
article
2,081
true
green
Nir Kshetri
University of North Carolina at Greensboro
Blockchain Technology Applications and Security
https://openalex.org/W2773929027
https://doi.org/10.1016/j.ijinfomgt.2017.12.005
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2104210894
https://doi.org/10.1145/356989.357007
OceanStore
2,000
2000-11-01
article
2,027
true
bronze
John Kubiatowicz, David Bindel, Yan Chen, Steven E. Czerwinski, Patrick Eaton, Dennis Geels, R. Gummadi, Sean Rhea, Hakim Weatherspoon, Westley Weimer, Chris Wells, Ben Y. Zhao
University of California, Berkeley
Distributed systems and fault tolerance
https://openalex.org/W2104210894
https://doi.org/10.1145/356989.357007
https://dl.acm.org/doi/pdf/10.1145/356989.357007
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2897312833
https://doi.org/10.3758/s13428-019-01237-x
Gorilla in our midst: An online behavioral experiment builder
2,019
2019-04-23
article
1,962
true
hybrid
Alexander Leslie Anwyl-Irvine, Jessica Massonnié, Adam Flitton, Natasha Z. Kirkham, Jo Evershed
MRC Cognition and Brain Sciences Unit
Mobile Crowdsensing and Crowdsourcing
https://openalex.org/W2897312833
https://doi.org/10.3758/s13428-019-01237-x
https://link.springer.com/content/pdf/10.3758/s13428-019-01237-x.pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W3110989801
https://doi.org/10.1007/s11432-020-2955-6
Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts
2,020
2020-11-24
article
1,960
true
hybrid
Xiaohu You, Cheng‐Xiang Wang, Jie Huang, Xiqi Gao, Zaichen Zhang, Mao Wang, Yongming Huang, Chuan Zhang, Yanxiang Jiang, Jiaheng Wang, Min Zhu, Bin Sheng, Dongming Wang, Zhiwen Pan, Pengcheng Zhu, Yang Yang, Zening Liu, Ping Zhang, Xiaofeng Tao, Shaoqian Li, Zhi Chen, Xinying Ma, I Chih‐Lin, Shuangfeng Han, Ke Li, Chen...
Purple Mountain Laboratories
Advanced Wireless Communication Technologies
https://openalex.org/W3110989801
https://doi.org/10.1007/s11432-020-2955-6
https://link.springer.com/content/pdf/10.1007/s11432-020-2955-6.pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2043007983
https://doi.org/10.1109/sp.2014.36
Zerocash: Decentralized Anonymous Payments from Bitcoin
2,014
2014-05-01
conference-paper
1,905
true
gold
Eli Ben Sasson, Alessandro Chiesa, Christina Garman, Matthew Green, Ian Miers, Eran Tromer, Madars Virza
Tel Aviv University
Blockchain Technology Applications and Security
https://openalex.org/W2043007983
https://doi.org/10.1109/sp.2014.36
https://ieeexplore.ieee.org/ielx7/6954656/6956545/06956581.pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W2803371618
https://doi.org/10.1016/j.future.2018.05.046
On blockchain and its integration with IoT. Challenges and opportunities
2,018
2018-05-24
article
1,892
true
hybrid
Ana Reyna, Cristian Martín, Jaime Chen, Enrique Soler, Manuel Díáz
Universidad de Málaga
Blockchain Technology Applications and Security
https://openalex.org/W2803371618
https://doi.org/10.1016/j.future.2018.05.046
https://www.sciencedirect.com/science/article/pii/S0167739X17329205/pdf
en
J2QUYIHrhpRdKxQEv
xz5hdnb97KOJXMIm1
W3118615836
https://doi.org/10.1136/bmj.n71
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
2,021
2021-03-29
review
99,564
true
hybrid
Matthew J. Page, Joanne E. McKenzie, Patrick M. Bossuyt, Isabelle Boutron, Tammy Hoffmann, Cynthia D. Mulrow, Larissa Shamseer, Jennifer Tetzlaff, Elie A. Akl, Sue Brennan, Roger Chou, Julie Glanville, Jeremy Grimshaw, Asbjørn Hróbjartsson, Manoj M. Lalu, Tianjing Li, Elizabeth Loder, Evan Mayo‐Wilson, Steve McDonald, ...
Monash Health
Meta-analysis and systematic reviews
https://openalex.org/W3118615836
https://doi.org/10.1136/bmj.n71
https://www.bmj.com/content/bmj/372/bmj.n71.full.pdf
en
NugsYf8NkkTviyjoD
BTgxqvXxpyukuyfQD
W2891378911
https://doi.org/10.7326/m18-0850
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
2,018
2018-09-03
article
41,925
true
green
Andrea C. Tricco, Erin Lillie, Wasifa Zarin, Kelly K. O’Brien, Heather Colquhoun, Danielle Levac, David Moher, Micah D.J. Peters, Tanya Horsley, Laura Weeks, Susanne Hempel, Elie A. Akl, Christine Chang, Jessie McGowan, Lesley Stewart, Lisa Hartling, Adrian Aldcroft, Michael G. Wilson, Chantelle Garritty, Simon Lewin, ...
St. Michael's Hospital
Delphi Technique in Research
https://openalex.org/W2891378911
https://doi.org/10.7326/m18-0850
en
NugsYf8NkkTviyjoD
BTgxqvXxpyukuyfQD
End of preview. Expand in Data Studio

reapX — public sources in, addressable records out

OpenAlex Scraper · Works, Authors, Institutions & Citations

Scrape scholarly works, papers, citations, authors, institutions, and open-access metadata from the OpenAlex API. Fast HTTP scraper charging per returned record with tiered pricing.

Rows in this dataset 2,387
Fields 18
Collector runs behind it 50
Most recent observation 2026-08-03

What this is

Every row here was returned by a real run of a public collector. Nothing is generated from a template over a keyword list: a row exists because a run observed it.

Provenance

Each row carries _run_id and _dataset_id, naming the collector run that produced it, so any row can be traced back to the run that observed it. Rows observed by more than one run are deduplicated on content; 113 duplicate observations were collapsed.

Files

  • openalex-scraper.jsonl — one JSON object per row, the canonical form
  • openalex-scraper.csv — the same rows flattened; nested values are JSON-encoded within their cell so they round-trip
  • dataset.json — schema.org Dataset metadata

Loading it

from datasets import load_dataset
ds = load_dataset("reapxdev/openalex-scraper", split="train")

Related

Licence

Collected from public sources. This metadata and the published pages are CC BY 4.0; the underlying records remain under the terms of their originating source.

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