Chenhan Jiang
Impact in
-
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
-
- Advanced Neural Network Applications 7
- Multimodal Machine Learning Applications 4
- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 3
-
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Hang Xu (8 shared papers)Xiaodan Liang (7 shared papers)Zhenguo Li (5 shared papers)Liang Lin (4 shared papers)Chen Qian (1 shared paper)Pengxu Wei (1 shared paper)Keze Wang (1 shared paper)Hongyi Cao (1 shared paper)
In The Last Decade
Chenhan Jiang
18 papers receiving 513 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 355
- Geology 34
- Human-Computer Interaction 35
- Artificial Intelligence 144
- Computational Mechanics 51
Countries citing papers authored by Chenhan Jiang
This map shows the geographic impact of Chenhan Jiang'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 Chenhan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenhan Jiang more than expected).
Fields of papers citing papers by Chenhan Jiang
This network shows the impact of papers produced by Chenhan Jiang. 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 Chenhan Jiang. The network helps show where Chenhan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenhan Jiang, 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 | 2019 | 103 | |
| 2 | 2019 | 80 | |
| 3 | 2019 | 69 | |
| 4 | 2023 | 54 | |
| 5 | 2020 | 51 | |
| 6 | 2021 | 44 | |
| 7 | 2019 | 29 | |
| 8 | 2020 | 28 | |
| 9 | Hybrid Knowledge Routed Modules for Large-scale Object Detection | 2018 | 19 |
| 10 | [Utilization of municipal sludge in agriculture and sustainable development]. | 2000 | 11 |
| 11 | 2020 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Chenhan Jiang
Chenhan Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Social Psychology, Marketing and Computational Mechanics, having authored 20 papers that have together received 526 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Multimodal Machine Learning Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Hand Gesture Recognition Systems (2 papers), 3D Shape Modeling and Analysis (2 papers) and Design Education and Practice (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (355 citations), Geology (34 citations), Human-Computer Interaction (35 citations), Artificial Intelligence (144 citations) and Computational Mechanics (51 citations). Chenhan Jiang has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Hang Xu, Xiaodan Liang, Zhenguo Li, Liang Lin, Chen Qian, Pengxu Wei, Keze Wang, Hongyi Cao, Dit‐Yan Yeung and Ke Gong. Their work appears in journals such as Sustainability, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Computing and Information Science in Engineering, Symmetry and International Journal of Technology and Design Education.
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.