Wanting Ji
Impact in
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- Human Pose and Action Recognition
- Face and Expression Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
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- Human Pose and Action Recognition 6
- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 4
- Music Technology and Sound Studies 3
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- Topic Modeling 4
- Co-authors
- Ruili Wang (20 shared papers)Ming Zong (8 shared papers)Mingzhe Liu (4 shared papers)Xun Wang (2 shared papers)Hao Zheng (3 shared papers)Zhihui Lai (1 shared paper)Wai Keung Wong (1 shared paper)Changan Yuan (2 shared papers)
- Journals
- Information Sciences (5 papers)Neural Computing and Applications (5 papers)Multimedia Tools and Applications (4 papers)Engineering Applications of Artificial Intelligence (2 papers)Applied Soft Computing (2 papers)
- Partner nations
- ChinaNew ZealandHong Kong
In The Last Decade
Wanting Ji
36 papers receiving 611 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 358
- Artificial Intelligence 211
- Signal Processing 61
- Human-Computer Interaction 29
- Media Technology 39
Countries citing papers authored by Wanting Ji
This map shows the geographic impact of Wanting Ji'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 Wanting Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanting Ji more than expected).
Fields of papers citing papers by Wanting Ji
This network shows the impact of papers produced by Wanting Ji. 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 Wanting Ji. The network helps show where Wanting Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanting Ji, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2018 | 67 | |
| 3 | 2022 | 43 | |
| 4 | 2021 | 42 | |
| 5 | 2020 | 38 | |
| 6 | 2020 | 36 | |
| 7 | 2022 | 28 | |
| 8 | 2022 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2023 | 14 | |
| 17 | 2019 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2022 | 9 |
About Wanting Ji
Wanting Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Computer Networks and Communications, having authored 37 papers that have together received 632 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (5 papers), Music and Audio Processing (4 papers), Advanced Neural Network Applications (4 papers), Blockchain Technology Applications and Security (4 papers), Speech and Audio Processing (4 papers), Topic Modeling (4 papers) and Music Technology and Sound Studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (358 citations), Artificial Intelligence (211 citations), Signal Processing (61 citations), Human-Computer Interaction (29 citations) and Media Technology (39 citations). Wanting Ji has collaborated with scholars based in China, New Zealand and Hong Kong. Frequent co-authors include Ruili Wang, Ming Zong, Mingzhe Liu, Xun Wang, Hao Zheng, Zhihui Lai, Wai Keung Wong, Changan Yuan, Yan Tian and Xiaoyun Jia. Their work appears in journals such as Information Sciences, Neural Computing and Applications, Multimedia Tools and Applications, Engineering Applications of Artificial Intelligence and Applied Soft Computing.
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.