Kaiming He
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Human Pose and Action Recognition
- Media Technology top 0.01%
Papers in
-
- Advanced Neural Network Applications 23
- Advanced Image and Video Retrieval Techniques 22
- Advanced Vision and Imaging 11
- Image Enhancement Techniques 8
- Multimodal Machine Learning Applications 8
- Human Pose and Action Recognition 6
- Advanced Image Processing Techniques 6
-
- Domain Adaptation and Few-Shot Learning 18
- Co-authors
- Shaoqing Ren (6 shared papers)Xiangyu Zhang (5 shared papers)Jian Sun (1 shared paper)Ross Girshick (15 shared papers)Jian Sun (9 shared papers)Jian Sun (16 shared papers)Piotr Dollár (7 shared papers)Saining Xie (4 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (11 papers)ACM Transactions on Graphics (1 paper)Small (1 paper)Earthquake Engineering and Engineering Vibration (1 paper)The Journal of Supercomputing (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Kaiming He
52 papers receiving 252.2k citations
Kaiming He's Hit Papers
Peers
Comparison fields: 5 of 239
- Computer Vision and Pattern Recognition 153.3k
- Media Technology 32.7k
- Artificial Intelligence 74.6k
- Industrial and Manufacturing Engineering 12.6k
- Signal Processing 11.9k
Countries citing papers authored by Kaiming He
This map shows the geographic impact of Kaiming He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kaiming He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiming He more than expected).
Fields of papers citing papers by Kaiming He
This network shows the impact of papers produced by Kaiming He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaiming He. The network helps show where Kaiming He may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiming He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Residual Learning for Image Recognition Hit paper breakdown → | 2016 | 136047 |
| 2 | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Hit paper breakdown → | 2016 | 39034 |
| 3 | Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Hit paper breakdown → | 2015 | 11397 |
| 4 | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Hit paper breakdown → | 2015 | 10871 |
| 5 | Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Hit paper breakdown → | 2015 | 8256 |
| 6 | Aggregated Residual Transformations for Deep Neural Networks Hit paper breakdown → | 2017 | 7348 |
| 7 | Momentum Contrast for Unsupervised Visual Representation Learning Hit paper breakdown → | 2020 | 7213 |
| 8 | Image Super-Resolution Using Deep Convolutional Networks Hit paper breakdown → | 2015 | 6586 |
| 9 | Focal Loss for Dense Object Detection Hit paper breakdown → | 2018 | 6433 |
| 10 | Single Image Haze Removal Using Dark Channel Prior Hit paper breakdown → | 2010 | 4255 |
| 11 | Guided Image Filtering Hit paper breakdown → | 2012 | 3920 |
| 12 | Mask R-CNN Hit paper breakdown → | 2018 | 2531 |
| 13 | R-FCN: Object Detection via Region-based Fully Convolutional Networks Hit paper breakdown → | 2016 | 2165 |
| 14 | Exploring Simple Siamese Representation Learning Hit paper breakdown → | 2021 | 2127 |
| 15 | SlowFast Networks for Video Recognition Hit paper breakdown → | 2019 | 2088 |
| 16 | Single image haze removal using dark channel prior Hit paper breakdown → | 2009 | 1812 |
| 17 | An Empirical Study of Training Self-Supervised Vision Transformers Hit paper breakdown → | 2021 | 904 |
| 18 | Panoptic Feature Pyramid Networks Hit paper breakdown → | 2019 | 900 |
| 19 | Mask R-CNN Hit paper breakdown → | 2017 | 780 |
| 20 | Instance-Aware Semantic Segmentation via Multi-task Network Cascades Hit paper breakdown → | 2016 | 760 |
About Kaiming He
Kaiming He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Electrical and Electronic Engineering and Information Systems, having authored 56 papers that have together received 260.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (23 papers), Advanced Image and Video Retrieval Techniques (22 papers), Domain Adaptation and Few-Shot Learning (18 papers), Advanced Vision and Imaging (11 papers), Image Enhancement Techniques (8 papers), Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (6 papers) and Advanced Image Processing Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153.3k citations), Media Technology (32.7k citations), Artificial Intelligence (74.6k citations), Industrial and Manufacturing Engineering (12.6k citations) and Signal Processing (11.9k citations). Kaiming He has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Shaoqing Ren, Xiangyu Zhang, Jian Sun, Ross Girshick, Jian Sun, Jian Sun, Piotr Dollár, Saining Xie, Xiaoou Tang and Haoqi Fan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics, Small, Earthquake Engineering and Engineering Vibration and The Journal of Supercomputing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.