Zihan Ding
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Human Pose and Action Recognition
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Multimodal Machine Learning Applications 6
- Human Pose and Action Recognition 4
- Advanced Neural Network Applications 4
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- Reinforcement Learning in Robotics 6
- Co-authors
- Shanghang Zhang (1 shared paper)Hao Dong (2 shared papers)Si Liu (8 shared papers)Tianrui Hui (6 shared papers)Jizhong Han (4 shared papers)Dengbing Yao (7 shared papers)Shaofei Huang (3 shared papers)Tsz‐lok Lee (1 shared paper)
- Journals
- Journal of Materials Chemistry B (2 papers)Biomedicines (2 papers)ACS Applied Nano Materials (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zihan Ding
41 papers receiving 718 citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 196
- Automotive Engineering 65
- Artificial Intelligence 149
- Control and Systems Engineering 82
- Cellular and Molecular Neuroscience 57
Countries citing papers authored by Zihan Ding
This map shows the geographic impact of Zihan Ding'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 Zihan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zihan Ding more than expected).
Fields of papers citing papers by Zihan Ding
This network shows the impact of papers produced by Zihan Ding. 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 Zihan Ding. The network helps show where Zihan Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Zihan Ding, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 152 | |
| 2 | 2022 | 46 | |
| 3 | 2024 | 44 | |
| 4 | 2020 | 41 | |
| 5 | 2023 | 40 | |
| 6 | 2023 | 39 | |
| 7 | 2024 | 38 | |
| 8 | 2021 | 37 | |
| 9 | 2022 | 31 | |
| 10 | 2023 | 29 | |
| 11 | 2024 | 23 | |
| 12 | 2020 | 20 | |
| 13 | 2023 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2023 | 18 | |
| 16 | 2021 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2023 | 12 | |
| 20 | 2024 | 11 |
About Zihan Ding
Zihan Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering and Surgery, having authored 46 papers that have together received 728 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Reinforcement Learning in Robotics (6 papers), Human Pose and Action Recognition (4 papers), Advanced Neural Network Applications (4 papers), Robot Manipulation and Learning (4 papers), Nerve injury and regeneration (3 papers), Oral health in cancer treatment (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (196 citations), Automotive Engineering (65 citations), Artificial Intelligence (149 citations), Control and Systems Engineering (82 citations) and Cellular and Molecular Neuroscience (57 citations). Zihan Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shanghang Zhang, Hao Dong, Si Liu, Tianrui Hui, Jizhong Han, Dengbing Yao, Shaofei Huang, Tsz‐lok Lee, Agnes S. Chan and Maorong Jiang. Their work appears in journals such as Journal of Materials Chemistry B, Biomedicines, ACS Applied Nano Materials, IEEE Transactions on Pattern Analysis and Machine Intelligence and Molecular Neurobiology.
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.