Most cited papers from Berkeley College
What are the most cited papers from Berkeley College?
The most cited paper from Berkeley College is "Fully convolutional networks for semantic segmentation" (Jonathan Long, Evan Shelhamer, Trevor J. Darrell, 2015), with 37,703 citations. Next come "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation" (32,284) and "Array programming with NumPy" (23,885).
Showing 50 of 60 papers. Every paper with more than 1,159 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Fully convolutional networks for semantic segmentation Jonathan Long, Evan Shelhamer, Trevor J. Darrell | Jun 2015 | 37,703 |
| 2 | Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Ross Girshick, Jeff Donahue, Trevor J. Darrell et al. | Jun 2014 | 32,284 |
| 3 | Array programming with NumPy Charles R. Harris et al. · Nature | 16 Sep 2020 | 23,885 |
| 4 | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, Taesung Park, Phillip Isola et al. | Oct 2017 | 22,468 |
| 5 | The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Zhang, Phillip Isola, Alexei A. Efros et al. | Jun 2018 | 13,833 |
| 6 | Caffe Yangqing Jia, Evan Shelhamer, Jeff Donahue et al. | 3 Nov 2014 | 11,245 |
| 7 | A ConvNet for the 2020s Zhuang Liu, Hanzi Mao, Chao-Yuan Wu et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 8,057 |
| 8 | NeRF Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Communications of the ACM | 17 Dec 2021 | 6,590 |
| 9 | NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Lecture notes in computer science | 2020 | 5,159 |
| 10 | Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking Mingxun Wang et al. · Nature Biotechnology | Aug 2016 | 4,812 |
| 11 | High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu et al. | Jun 2018 | 4,526 |
| 12 | Carbon capture and storage (CCS): the way forward Mai Bui et al. · Energy & Environmental Science | 2018 | 4,386 |
| 13 | Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia, Evan Shelhamer, Jeff Donahue et al. · arXiv (Cornell University) | 20 Jun 2014 | 4,297 |
| 14 | Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics Kelly Street, Davide Risso, Russell B. Fletcher et al. · BMC Genomics | 18 Jun 2018 | 3,551 |
| 15 | Large Sample Properties of Matching Estimators for Average Treatment Effects Alberto Abadie, Guido W. Imbens · Econometrica | 13 Dec 2005 | 2,973 |
| 16 | Domain randomization for transferring deep neural networks from simulation to the real world Josh Tobin, Rachel Fong, Alex Ray et al. | Sep 2017 | 2,932 |
| 17 | Semantic Image Synthesis With Spatially-Adaptive Normalization Taesung Park, Ming-Yu Liu, Ting-Chun Wang et al. | Jun 2019 | 2,926 |
| 18 | Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou, Matthew L. Brown, Noah Snavely et al. | Jul 2017 | 2,888 |
| 19 | TAG Samuel R. Madden, Michael J. Franklin, Joseph M. Hellerstein et al. · ACM SIGOPS Operating Systems Review | 31 Dec 2002 | 2,730 |
| 20 | Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution LaDeana W. Hillier et al. · Nature | 9 Dec 2004 | 2,532 |
| 21 | BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Fisher Yu, Haofeng Chen, Xin Wang et al. | Jun 2020 | 2,464 |
| 22 | A general method ofin vitropreparation and specific mutagenesis of DNA fragments: study of protein and DNA interactions Russell Higuchi, Barbara Krummel, Randall K. Saiki · Nucleic Acids Research | 1988 | 2,410 |
| 23 | A new view of the tree of life Laura A. Hug, Brett J. Baker, Karthik Anantharaman et al. · Nature Microbiology | 11 Apr 2016 | 2,194 |
| 24 | Revisiting Event-Study Designs: Robust and Efficient Estimation Kirill Borusyak, Xavier Jaravel, Jann Spiess · The Review of Economic Studies | 17 Jan 2024 | 2,095 |
| 25 | Scalable Diffusion Models with Transformers William Peebles, Saining Xie | Oct 2023 | 1,974 |
| 26 | Improving RNA-Seq expression estimates by correcting for fragment bias Adam Roberts, Cole Trapnell, Julie Donaghey et al. · Genome biology | 16 Mar 2011 | 1,882 |
| 27 | The Supernova–Gamma-Ray Burst Connection Stan E. Woosley, J. S. Bloom · Annual Review of Astronomy and Astrophysics | 18 Aug 2006 | 1,793 |
| 28 | Scientific workflow management and the Kepler system Bertram Ludäscher, İlkay Altıntaş, Chad Berkley et al. · Concurrency and Computation Practice and Experience | 13 Dec 2005 | 1,699 |
| 29 | Distributed GraphLab Yucheng Low, Danny Bickson, Joseph E. Gonzalez et al. · Proceedings of the VLDB Endowment | Apr 2012 | 1,675 |
| 30 | Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data * Emmanuel Saez, Gabriel Zucman · The Quarterly Journal of Economics | 16 Feb 2016 | 1,599 |
| 31 | Deep Layer Aggregation Fisher Yu, Dequan Wang, Evan Shelhamer et al. | Jun 2018 | 1,592 |
| 32 | Efficient Memory Management for Large Language Model Serving with PagedAttention Woosuk Kwon, Z. Li, Siyuan Zhuang et al. | 3 Oct 2023 | 1,572 |
| 33 | Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola, Jun-Yan Zhu, Tinghui Zhou et al. | Jul 2017 | 1,572 |
| 34 | The Fox News Effect: Media Bias and Voting Stefano DellaVigna, Edward H. Kaplan · The Quarterly Journal of Economics | 30 Jul 2007 | 1,555 |
| 35 | The effect of large-scale anti-contagion policies on the COVID-19 pandemic Solomon Hsiang, Daniel Allen, Sébastien Annan-Phan et al. · Nature | 8 Jun 2020 | 1,553 |
| 36 | pixelNeRF: Neural Radiance Fields from One or Few Images Alex W.Y. Yu, Vickie Ye, Matthew Tancik et al. | Jun 2021 | 1,528 |
| 37 | The chemistry of metal–organic frameworks for CO2 capture, regeneration and conversion Christopher A. Trickett, Aasif Helal, Bassem A. Al‐Maythalony et al. · Nature Reviews Materials | 25 Jul 2017 | 1,527 |
| 38 | Model-Contrastive Federated Learning Qinbin Li, Bingsheng He, Dawn Xiaodong Song | Jun 2021 | 1,517 |
| 39 | Strengths and Weaknesses of Quantum Computing Charles H. Bennett, Ethan Scott Bernstein, Gilles Brassard et al. · SIAM Journal on Computing | Oct 1997 | 1,504 |
| 40 | Toil enables reproducible, open source, big biomedical data analyses John Vivian et al. · Nature Biotechnology | Apr 2017 | 1,482 |
| 41 | Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates Shixiang Gu, Ethan Holly, Timothy Lillicrap et al. | May 2017 | 1,474 |
| 42 | Hedges: A study in meaning criteria and the logic of fuzzy concepts George P. Lakoff · Journal of Philosophical Logic | Oct 1973 | 1,441 |
| 43 | Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui, Dong Huk Park, Daylen Yang et al. | 2016 | 1,433 |
| 44 | The Unscented Particle Filter Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas et al. | 2000 | 1,416 |
| 45 | A data-oriented (and beyond) network architecture Teemu Koponen, Mohit Chawla, Byung-Gon Chun et al. | 27 Aug 2007 | 1,372 |
| 46 | Plenoxels: Radiance Fields without Neural Networks Sara Fridovich-Keil, Alex W.Y. Yu, Matthew Tancik et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 1,367 |
| 47 | A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons D. Gowanlock R. Tervo, Bum‐Yeol Hwang, Sarada Viswanathan et al. · Neuron | Oct 2016 | 1,350 |
| 48 | Constructive molecular configurations for surface-defect passivation of perovskite photovoltaics Rui Wang, Jingjing Xue, Kai‐Li Wang et al. · Science | 20 Dec 2019 | 1,344 |
| 49 | FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu, Kurt Keutzer, Xiaoliang Dai et al. | Jun 2019 | 1,338 |
| 50 | Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE Sushmita Mimi Roy et al. · Science | 23 Dec 2010 | 1,314 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.