Cong Geng
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Media Technology top 5%
Papers in
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- Face and Expression Recognition 3
- Face recognition and analysis 3
- Advanced Image and Video Retrieval Techniques 3
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- Advanced Neuroimaging Techniques and Applications 1
- Co-authors
- Xudong Jiang (3 shared papers)Jianguo Hu (1 shared paper)Bingbing Ni (1 shared paper)Yi Xu (1 shared paper)Peng Zhou (1 shared paper)Zhiyong Gao (1 shared paper)Li Chen (1 shared paper)Xiaoyun Zhang (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Symmetry (1 paper)Machine Vision and Applications (1 paper)Frontiers of Computer Science (1 paper)CERN Bulletin (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Cong Geng
6 papers receiving 477 citations
Cong Geng's Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 451
- Media Technology 63
- Signal Processing 57
- Artificial Intelligence 100
- Industrial and Manufacturing Engineering 24
Countries citing papers authored by Cong Geng
This map shows the geographic impact of Cong Geng'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 Cong Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Geng more than expected).
Fields of papers citing papers by Cong Geng
This network shows the impact of papers produced by Cong Geng. 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 Cong Geng. The network helps show where Cong Geng may publish in the future.
Co-authors
The 21 scholars most cited alongside Cong Geng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Scale-Transferrable Object Detection Hit paper breakdown → | 2018 | 279 |
| 2 | 2009 | 164 | |
| 3 | 2009 | 38 | |
| 4 | 2012 | 21 | |
| 5 | 2020 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 0 | |
| 10 | 2014 | 0 |
About Cong Geng
Cong Geng is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics, Mathematical Physics and Signal Processing, having authored 10 papers that have together received 506 indexed citations. Recurring topics across this work include Face and Expression Recognition (3 papers), Face recognition and analysis (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Particle physics theoretical and experimental studies (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Speech and Audio Processing (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (451 citations), Media Technology (63 citations), Signal Processing (57 citations), Artificial Intelligence (100 citations) and Industrial and Manufacturing Engineering (24 citations). Cong Geng has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xudong Jiang, Jianguo Hu, Bingbing Ni, Yi Xu, Peng Zhou, Zhiyong Gao, Li Chen, Xiaoyun Zhang, Ling Xiao and Bo Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Symmetry, Machine Vision and Applications, Frontiers of Computer Science and CERN Bulletin.
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.