Hai Ci
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
-
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
Papers in
-
- Human Pose and Action Recognition 5
- Generative Adversarial Networks and Image Synthesis 2
-
- Human Motion and Animation 2
- Microgrid Control and Optimization 2
- Co-authors
- Yizhou Wang (5 shared papers)Xiaoxuan Ma (4 shared papers)Chunyu Wang (3 shared papers)Jiajun Su (1 shared paper)Xiaoxuan Ma (1 shared paper)Hao Dong (1 shared paper)Fangwei Zhong (1 shared paper)Wentao Zhu (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)International Journal of Nanomedicine (1 paper)Pteridines (1 paper)2021 IEEE Sustainable Power and Energy Conference (iSPEC) (1 paper)Urban Planning International (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Hai Ci
10 papers receiving 302 citations
Peers
Comparison fields: 5 of 41
- Human-Computer Interaction 79
- Computer Vision and Pattern Recognition 284
- Endocrinology, Diabetes and Metabolism 41
- Biomedical Engineering 102
- Artificial Intelligence 73
Countries citing papers authored by Hai Ci
This map shows the geographic impact of Hai Ci'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 Hai Ci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Ci more than expected).
Fields of papers citing papers by Hai Ci
This network shows the impact of papers produced by Hai Ci. 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 Hai Ci. The network helps show where Hai Ci may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Ci, 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 | 154 | |
| 2 | 2021 | 43 | |
| 3 | 2020 | 42 | |
| 4 | 2023 | 33 | |
| 5 | 2023 | 27 | |
| 6 | 2021 | 5 | |
| 7 | 2024 | 2 | |
| 8 | 2018 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2021 | 0 |
About Hai Ci
Hai Ci is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction, Electrical and Electronic Engineering and Sociology and Political Science, having authored 12 papers that have together received 309 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Hand Gesture Recognition Systems (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Human Motion and Animation (2 papers), Microgrid Control and Optimization (2 papers), Metabolism and Genetic Disorders (1 paper), Silicon Carbide Semiconductor Technologies (1 paper) and Graphene and Nanomaterials Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (79 citations), Computer Vision and Pattern Recognition (284 citations), Endocrinology, Diabetes and Metabolism (41 citations), Biomedical Engineering (102 citations) and Artificial Intelligence (73 citations). Hai Ci has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yizhou Wang, Xiaoxuan Ma, Chunyu Wang, Jiajun Su, Xiaoxuan Ma, Hao Dong, Fangwei Zhong, Wentao Zhu, Feng Gao and Qi Tian. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Nanomedicine, Pteridines, 2021 IEEE Sustainable Power and Energy Conference (iSPEC) and Urban Planning International.
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.