Institution · Microsoft (United States)
Most cited papers from Microsoft (United States)
Microsoft (United States)
What are the most cited papers from Microsoft (United States)?
The most cited paper from Microsoft (United States) is "Deep Residual Learning for Image Recognition" (Kaiming He, Xiangyu Zhang, Shaoqing Ren et al., 2016), with 229,585 citations. Next come "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" (55,999) and "Microsoft COCO: Common Objects in Context" (43,802).
Showing 50 of 59 papers. Every paper with more than 4,643 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Deep Residual Learning for Image Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. | Jun 2016 | 229,585 |
| 2 | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 6 Jun 2016 | 55,999 |
| 3 | Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge Belongie et al. · Lecture notes in computer science | 2014 | 43,802 |
| 4 | Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu, Yutong Lin, Yue Cao et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 32,838 |
| 5 | Fast R-CNN Ross Girshick | Dec 2015 | 28,569 |
| 6 | Pattern Recognition and Machine Learning Nasser M. Nasrabadi · Journal of Electronic Imaging | 2007 | 22,033 |
| 7 | The Pascal Visual Object Classes (VOC) Challenge Mark Everingham, Luc Van Gool, Christopher K. I. Williams et al. · International Journal of Computer Vision | 8 Sep 2009 | 20,137 |
| 8 | Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. | Dec 2015 | 19,129 |
| 9 | A flexible new technique for camera calibration Zheng Zhang · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2000 | 14,989 |
| 10 | Topological insulators and superconductors Xiao-Liang Qi, Shou-Cheng Zhang · Reviews of Modern Physics | 14 Oct 2011 | 14,641 |
| 11 | Robust Real-Time Face Detection Paul A. Viola, Michael Jones · International Journal of Computer Vision | 22 Jan 2004 | 14,253 |
| 12 | Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 9 Jan 2015 | 11,594 |
| 13 | Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups Geoffrey E. Hinton, Li Deng, Dong Yu et al. · IEEE Signal Processing Magazine | 19 Oct 2012 | 10,453 |
| 14 | Identity Mappings in Deep Residual Networks Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · Lecture notes in computer science | 2016 | 10,296 |
| 15 | From local explanations to global understanding with explainable AI for trees Scott Lundberg, Gabriel Erion, Hugh Chen et al. · Nature Machine Intelligence | 17 Jan 2020 | 10,292 |
| 16 | Image Super-Resolution Using Deep Convolutional Networks Chao Dong, Chen Change Loy, Kaiming He et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2 Jun 2015 | 10,149 |
| 17 | LightGBM: A Highly Efficient Gradient Boosting Decision Tree Guolin Ke, Qi Meng, Thomas Finley et al. · HAL (Le Centre pour la Communication Scientifique Directe) | 4 Dec 2017 | 9,485 |
| 18 | RADAR: an in-building RF-based user location and tracking system Paramvir Bahl, Venkat N. Padmanabhan | 7 Nov 2002 | 8,388 |
| 19 | Overview of the High Efficiency Video Coding (HEVC) Standard Gary J. Sullivan, Jens-Rainer Ohm, Woo-Jin Han et al. · IEEE Transactions on Circuits and Systems for Video Technology | 30 Sep 2012 | 8,309 |
| 20 | Overview of the H.264/AVC video coding standard Thomas Wiegand, Gary J. Sullivan, Gisle Bjøntegaard et al. · IEEE Transactions on Circuits and Systems for Video Technology | Jul 2003 | 8,227 |
| 21 | Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 Mohammad Hossein Forouzanfar et al. · The Lancet | Oct 2016 | 7,829 |
| 22 | The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package * Adrian M. Price-Whelan et al. · The Astronomical Journal | 23 Aug 2018 | 7,690 |
| 23 | The Pascal Visual Object Classes Challenge: A Retrospective Mark Everingham, S. M. Ali Eslami, Luc Van Gool et al. · International Journal of Computer Vision | 24 Jun 2014 | 7,447 |
| 24 | Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems Antony I.T. Rowstron, Peter Druschel · Lecture notes in computer science | 2001 | 7,322 |
| 25 | Calibrating Noise to Sensitivity in Private Data Analysis Cynthia Dwork, Frank McSherry, Kobbi Nissim et al. · Lecture notes in computer science | 2006 | 7,243 |
| 26 | Deformable Convolutional Networks Jifeng Dai, Haozhi Qi, Yuwen Xiong et al. | Oct 2017 | 7,204 |
| 27 | Non-Abelian anyons and topological quantum computation Chetan Nayak, Steven H. Simon, Ady Stern et al. · Reviews of Modern Physics | 12 Sep 2008 | 7,056 |
| 28 | Robust principal component analysis? Emmanuel J. Candès, Xiaodong Li, Yi Ma et al. · Journal of the ACM | May 2011 | 6,962 |
| 29 | The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) Bjoern H. Menze et al. · IEEE Transactions on Medical Imaging | 4 Dec 2014 | 6,843 |
| 30 | A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms Daniel Scharstein, Rick Szeliski · International Journal of Computer Vision | Apr 2002 | 6,797 |
| 31 | Z3: An Efficient SMT Solver Leonardo de Moura, Nikolaj Bjørner · Lecture notes in computer science | 2008 | 6,516 |
| 32 | Single Image Haze Removal Using Dark Channel Prior Kaiming He, Jian Cheng Sun, Xiaoou Tang · IEEE Transactions on Pattern Analysis and Machine Intelligence | 15 Sep 2010 | 6,281 |
| 33 | Estimating the Support of a High-Dimensional Distribution Bernhard Schölkopf, John C. Platt, John S. Shawe-Taylor et al. · Neural Computation | Jul 2001 | 6,166 |
| 34 | Xen and the art of virtualization Paul Barham, Boris Dragovic, Keir Fraser et al. · ACM SIGOPS Operating Systems Review | 19 Oct 2003 | 5,944 |
| 35 | Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun, Bin Xiao, Dong Liu et al. | Jun 2019 | 5,840 |
| 36 | "GrabCut" Carsten Rother, Vladimir Kolmogorov, Andrew Blake · ACM Transactions on Graphics | Aug 2004 | 5,822 |
| 37 | Indoor Segmentation and Support Inference from RGBD Images Nathan Silberman, Derek Hoiem, Pushmeet Kohli et al. · Lecture notes in computer science | 2012 | 5,770 |
| 38 | Learning a Deep Convolutional Network for Image Super-Resolution Chao Dong, Chen Change Loy, Kaiming He et al. · Lecture notes in computer science | 2014 | 5,746 |
| 39 | Guided Image Filtering Kaiming He, Jian Zhong Sun, Xiaoou Tang · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2 Oct 2012 | 5,494 |
| 40 | Fast Training of Support Vector Machines Using Sequential Minimal Optimization John C. Platt · The MIT Press eBooks | Dec 1998 | 5,489 |
| 41 | CRITICAL QUESTIONS FOR BIG DATA danah boyd, Kate Crawford · Information Communication & Society | 10 May 2012 | 5,459 |
| 42 | Differential Privacy Cynthia Dwork · Lecture notes in computer science | 2006 | 5,365 |
| 43 | Image Super-Resolution Via Sparse Representation Jianchao Yang, John N. Wright, Thomas S. Huang et al. · IEEE Transactions on Image Processing | 26 May 2010 | 5,333 |
| 44 | Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson, Xiaodong He, Chris Buehler et al. | Jun 2018 | 5,173 |
| 45 | Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9 John G. Doench, Nicolò Fusi, Meagan E. Sullender et al. · Nature Biotechnology | 18 Jan 2016 | 5,165 |
| 46 | Skyline: an open source document editor for creating and analyzing targeted proteomics experiments Brendan MacLean, Daniela M. Tomazela, Nicholas Shulman et al. · Bioinformatics | 9 Feb 2010 | 5,063 |
| 47 | Hierarchical Attention Networks for Document Classification Zichao Yang, Diyi Yang, Chris Dyer et al. | 2016 | 4,899 |
| 48 | Kaldi Speech Recognition Toolkit Daniel Povey · Infoscience (Ecole Polytechnique Fédérale de Lausanne) | 2024 | 4,890 |
| 49 | The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web] Li Deng · IEEE Signal Processing Magazine | 19 Oct 2012 | 4,878 |
| 50 | CIDEr: Consensus-based image description evaluation Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh | Jun 2015 | 4,861 |
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.