Wanting Ji
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Video Analysis and Summarization
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
Papers in
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- Human Pose and Action Recognition 7
- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 5
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- Topic Modeling 6
- Advanced Text Analysis Techniques 4
- Co-authors
- Ruili Wang (21 shared papers)Ming Zong (9 shared papers)Yujun Ma (5 shared papers)Mingzhe Liu (4 shared papers)Xun Wang (2 shared papers)Hao Zheng (3 shared papers)Yan Tao Tian (3 shared papers)Xiaoyun Jia (3 shared papers)
- Journals
- Neural Computing and Applications (5 papers)Information Sciences (5 papers)Multimedia Tools and Applications (4 papers)Pattern Recognition Letters (2 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- ChinaNew ZealandHong Kong
In The Last Decade
Wanting Ji
38 papers receiving 693 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 384
- Artificial Intelligence 242
- Human-Computer Interaction 38
- Signal Processing 65
- Media Technology 41
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 75 | |
| 2 | 2020 | 73 | |
| 3 | 2022 | 51 | |
| 4 | 2021 | 46 | |
| 5 | 2020 | 38 | |
| 6 | 2020 | 38 | |
| 7 | 2022 | 36 | |
| 8 | 2022 | 32 | |
| 9 | 2021 | 31 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2021 | 21 | |
| 14 | 2020 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2023 | 16 | |
| 17 | 2019 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Wanting Ji
Wanting Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Human-Computer Interaction, having authored 39 papers that have together received 704 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (5 papers), Speech and Audio Processing (4 papers), Blockchain Technology Applications and Security (4 papers), Music and Audio Processing (4 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (384 citations), Artificial Intelligence (242 citations), Human-Computer Interaction (38 citations), Signal Processing (65 citations) and Media Technology (41 citations). Wanting Ji has collaborated with scholars based in China, New Zealand and Hong Kong. Frequent co-authors include Ruili Wang, Ming Zong, Yujun Ma, Mingzhe Liu, Xun Wang, Hao Zheng, Yan Tao Tian, Xiaoyun Jia, Wai Keung Wong and Changan Yuan. Their work appears in journals such as Neural Computing and Applications, Information Sciences, Multimedia Tools and Applications, Pattern Recognition Letters and Engineering Applications of Artificial Intelligence.
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.