Jiangpeng He
Impact in
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- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Data Stream Mining Techniques
Papers in
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- Nutritional Studies and Diet 13
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- Image Retrieval and Classification Techniques 4
- Multimodal Machine Learning Applications 3
- Co-authors
- Fengqing Zhu (32 shared papers)Zeman Shao (7 shared papers)Carol J. Boushey (3 shared papers)Janine Wright (3 shared papers)Deborah A. Kerr (4 shared papers)Heather A. Eicher‐Miller (6 shared papers)Yue Han (2 shared papers)Xinyue Pan (1 shared paper)
- Journals
- Nutrients (3 papers)IEEE Transactions on Multimedia (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Electronic Imaging (4 papers)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Jiangpeng He
26 papers receiving 289 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 93
- Artificial Intelligence 129
- Public Health, Environmental and Occupational Health 79
- Media Technology 17
- Biomedical Engineering 58
Countries citing papers authored by Jiangpeng He
This map shows the geographic impact of Jiangpeng He'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 Jiangpeng He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangpeng He more than expected).
Fields of papers citing papers by Jiangpeng He
This network shows the impact of papers produced by Jiangpeng He. 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 Jiangpeng He. The network helps show where Jiangpeng He may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangpeng He, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2021 | 35 | |
| 3 | 2020 | 31 | |
| 4 | 2024 | 18 | |
| 5 | 2023 | 16 | |
| 6 | 2021 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Jiangpeng He
Jiangpeng He is a scholar working on Public Health, Environmental and Occupational Health, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 303 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (13 papers), Advanced Chemical Sensor Technologies (10 papers), Domain Adaptation and Few-Shot Learning (7 papers), Image Retrieval and Classification Techniques (4 papers), COVID-19 diagnosis using AI (3 papers), Multimodal Machine Learning Applications (3 papers), Culinary Culture and Tourism (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (93 citations), Artificial Intelligence (129 citations), Public Health, Environmental and Occupational Health (79 citations), Media Technology (17 citations) and Biomedical Engineering (58 citations). Jiangpeng He has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Fengqing Zhu, Zeman Shao, Carol J. Boushey, Janine Wright, Deborah A. Kerr, Heather A. Eicher‐Miller, Yue Han, Xinyue Pan, Jinge Ma and Justin Yang. Their work appears in journals such as Nutrients, IEEE Transactions on Multimedia, IEEE Journal of Biomedical and Health Informatics, Electronic Imaging and 2022 IEEE International Conference on Image Processing (ICIP).
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.