Yang Jiang
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Human Pose and Action Recognition
- Numerical Analysis top 10%
- Numerical methods for differential equations
Papers in
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- Advanced Neural Network Applications 4
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- Electromagnetic Simulation and Numerical Methods 6
- Co-authors
- Hong Liu (1 shared paper)Xiaozhao Fang (1 shared paper)Xuelong Li (1 shared paper)Shaohua Teng (1 shared paper)Jane You (1 shared paper)Yong Dong Xu (1 shared paper)Ke‐Li Wu (2 shared papers)Jie Shen (1 shared paper)
In The Last Decade
Yang Jiang
48 papers receiving 483 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 206
- Numerical Analysis 23
- Analytical Chemistry 21
- Artificial Intelligence 60
- Aerospace Engineering 44
Countries citing papers authored by Yang Jiang
This map shows the geographic impact of Yang 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 Yang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Jiang more than expected).
Fields of papers citing papers by Yang Jiang
This network shows the impact of papers produced by Yang 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 Yang Jiang. The network helps show where Yang Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 145 | |
| 2 | 2023 | 28 | |
| 3 | 2024 | 26 | |
| 4 | 2023 | 24 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 8 |
About Yang Jiang
Yang Jiang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 57 papers that have together received 504 indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (6 papers), Electromagnetic Scattering and Analysis (5 papers), Advanced Neural Network Applications (4 papers), Model Reduction and Neural Networks (3 papers), Soft Robotics and Applications (3 papers), GNSS positioning and interference (3 papers), Metal Alloys Wear and Properties (2 papers) and Sensor Technology and Measurement Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Numerical Analysis (23 citations), Analytical Chemistry (21 citations), Artificial Intelligence (60 citations) and Aerospace Engineering (44 citations). Yang Jiang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Hong Liu, Xiaozhao Fang, Xuelong Li, Shaohua Teng, Jane You, Yong Dong Xu, Ke‐Li Wu, Jie Shen, Richard Xian‐Ke Gao and Wei‐Jiang Zhao. Their work appears in journals such as IEEE Transactions on Microwave Theory and Techniques, Neural Networks, Energy Reports, IEEE Transactions on Electromagnetic Compatibility 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.