Hongsheng Li
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Neural Network Applications 51
- Human Pose and Action Recognition 40
- Advanced Vision and Imaging 34
- Advanced Image and Video Retrieval Techniques 34
- Video Surveillance and Tracking Methods 32
- Multimodal Machine Learning Applications 22
- Geology top 0.1%
- Media Technology top 0.2%
- Aerospace Engineering top 0.1%
- Robotics and Sensor-Based Localization 26
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning 28
- Co-authors
- Xiaogang WangShaoshuai ShiWanli OuyangZhe WangTong XiaoShuai YiRui ZhaoChaoxu Guo
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Hongsheng Li
280 papers receiving 18.1k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Computer Vision and Pattern Recognition 13.9k
- Geology 1.3k
- Media Technology 1.3k
- Aerospace Engineering 3.2k
- Artificial Intelligence 3.9k
Countries citing papers authored by Hongsheng Li
This map shows the geographic impact of Hongsheng Li'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 Hongsheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongsheng Li more than expected).
Fields of papers citing papers by Hongsheng Li
This network shows the impact of papers produced by Hongsheng Li. 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 Hongsheng Li. The network helps show where Hongsheng Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongsheng Li, 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 | 2025 | 2 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 16 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 59 | |
| 16 | Container: Context Aggregation Networks | 2021 | 12 |
| 17 | Balanced Meta-Softmax for Long-Tailed Visual Recognition | 2020 | 5 |
| 18 | 2019 | 3 | |
| 19 | 2017 | 180 | |
| 20 | 2013 | 4 |
About Hongsheng Li
Hongsheng Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 299 papers that have together received 18.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (51 papers), Human Pose and Action Recognition (40 papers), Advanced Vision and Imaging (34 papers), Advanced Image and Video Retrieval Techniques (34 papers), Video Surveillance and Tracking Methods (32 papers), Domain Adaptation and Few-Shot Learning (28 papers), Robotics and Sensor-Based Localization (26 papers) and Multimodal Machine Learning Applications (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (13.9k citations), Geology (1.3k citations) and Media Technology (1.3k citations). Hongsheng Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaogang Wang, Shaoshuai Shi, Wanli Ouyang, Zhe Wang, Tong Xiao, Shuai Yi, Rui Zhao, Chaoxu Guo, Li Jiang and Jianping Shi.
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.