Most-cited Computer Science papers of 2020, with free PDFs
The 25 most-cited Computer Science research papers published in 2020, ranked by citations in OpenAlex, with their original abstracts and free PDFs where available.
- SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli Virtanen, Ralf Gommers et al. · 2020 · 38,297 citations · Free PDF - Array programming with NumPy
Harris, CR, KJ Millman et al. · 2020 · 17,356 citations - Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie et al. · 2020 · 14,489 citations - A Comprehensive Survey on Graph Neural Networks
Zonghan Wu, Shirui Pan et al. · 2020 · 10,150 citations · Free PDF - A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang, Zhiyuan Qi et al. · 2020 · 6,462 citations - Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan et al. · 2020 · 6,386 citations · Free PDF - The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
Davide Chicco, Giuseppe Jurman · 2020 · 6,080 citations · Free PDF - Graph neural networks: A review of methods and applications
Jie Zhou, Ganqu Cui et al. · 2020 · 5,875 citations · Free PDF - Federated Learning: Challenges, Methods, and Future Directions
Tian Li, Anit Kumar Sahu et al. · 2020 · 5,139 citations · Free PDF - Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang, Ke Sun et al. · 2020 · 4,860 citations - Artificial Intelligence in Education: A Review
Lijia Chen, Pingping Chen et al. · 2020 · 3,999 citations - PubChem in 2021: new data content and improved web interfaces
Sunghwan Kim, Jie Chen et al. · 2020 · 3,958 citations - A novel swarm intelligence optimization approach: sparrow search algorithm
Jiankai Xue, Bo Shen · 2020 · 3,857 citations - Scalable molecular dynamics on CPU and GPU architectures with NAMD
James Christopher Phillips, David J. Hardy et al. · 2020 · 3,177 citations - A Comprehensive Survey on Graph Neural Networks
Wu, Z, Pan, S et al. · 2020 · 3,142 citations - The future of digital health with federated learning
Nicola Rieke, Jonny Hancox et al. · 2020 · 3,128 citations · Free PDF - Explainable AI: A Review of Machine Learning Interpretability Methods
Pantelis Linardatos, Vasilis Papastefanopoulos et al. · 2020 · 2,912 citations · Free PDF - Generalizing from a Few Examples
Yaqing Wang, Quanming Yao et al. · 2020 · 2,800 citations - Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
Luca Ferretti A, Chris Wymant et al. · 2020 · 2,560 citations - Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Wei Yang Bryan Lim, Nguyen Cong Luong et al. · 2020 · 2,541 citations - Machine Learning Algorithms - A Review
Batta Mahesh · 2020 · 2,519 citations - A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Erico Tjoa, Cuntai Guan · 2020 · 2,475 citations · Free PDF - Federated Learning With Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li et al. · 2020 · 2,384 citations · Free PDF - Analysis of therapeutic targets for SARS-CoV-2 and discovery of potential drugs by computational methods
Canrong Wu, Yang Liu et al. · 2020 · 2,356 citations - Pymoo: Multi-Objective Optimization in Python
Julian Blank, Kalyanmoy Deb · 2020 · 2,356 citations · Free PDF
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