Mingjie Jiang
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
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- Emotion and Mood Recognition
Papers in
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- Face recognition and analysis 4
- Medical Image Segmentation Techniques 2
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- Cerebrovascular and Carotid Artery Diseases 3
- Infection Control and Ventilation 2
- Co-authors
- Xinqi Fan (4 shared papers)Hong Yan (3 shared papers)Bernard Chiu (5 shared papers)Xueli Chen (1 shared paper)J. David Spence (1 shared paper)Shonit Punwani (1 shared paper)Ning Li (2 shared papers)Qianye Yang (1 shared paper)
In The Last Decade
Mingjie Jiang
12 papers receiving 149 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 90
- Experimental and Cognitive Psychology 30
- Radiology, Nuclear Medicine and Imaging 30
- Pulmonary and Respiratory Medicine 30
- Human-Computer Interaction 5
Countries citing papers authored by Mingjie Jiang
This map shows the geographic impact of Mingjie 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 Mingjie Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjie Jiang more than expected).
Fields of papers citing papers by Mingjie Jiang
This network shows the impact of papers produced by Mingjie 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 Mingjie Jiang. The network helps show where Mingjie Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjie 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 30 | |
| 2 | 2021 | 30 | |
| 3 | 2023 | 29 | |
| 4 | 2022 | 19 | |
| 5 | 2023 | 12 | |
| 6 | 2020 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 3 | |
| 10 | 2020 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 0 |
About Mingjie Jiang
Mingjie Jiang is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 13 papers that have together received 154 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Medical Image Segmentation Techniques (2 papers), Infection Control and Ventilation (2 papers), Emotion and Mood Recognition (2 papers), AI in cancer detection (2 papers) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Experimental and Cognitive Psychology (30 citations), Radiology, Nuclear Medicine and Imaging (30 citations), Pulmonary and Respiratory Medicine (30 citations) and Human-Computer Interaction (5 citations). Mingjie Jiang has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Xinqi Fan, Hong Yan, Bernard Chiu, Xueli Chen, J. David Spence, Shonit Punwani, Ning Li, Qianye Yang, He Huang and Yeqin Shao. Their work appears in journals such as Medical Physics, IEEE Transactions on Medical Imaging, Applied Sciences, Knowledge-Based Systems and IEEE Access.
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.