Jing Qin
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- Advanced Neural Network Applications 9
- Human Pose and Action Recognition 7
- Developmental Neuroscience top 5%
- Media Technology top 2%
- Health Informatics top 5%
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- AI in cancer detection 24
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- Radiomics and Machine Learning in Medical Imaging 21
- COVID-19 diagnosis using AI 9
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- 3D Shape Modeling and Analysis 9
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- Brain Tumor Detection and Classification 7
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- Advanced Combustion Engine Technologies 7
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignDevelopmental Neuroscience
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Neuroscience (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jing Qin
156 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Computer Vision and Pattern Recognition 1.1k
- Computer Graphics and Computer-Aided Design 78
- Developmental Neuroscience 86
- Media Technology 173
- Health Informatics 24
Countries citing papers authored by Jing Qin
This map shows the geographic impact of Jing Qin'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 Jing Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Qin more than expected).
Fields of papers citing papers by Jing Qin
This network shows the impact of papers produced by Jing Qin. 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 Jing Qin. The network helps show where Jing Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing Qin, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 18 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 64 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 28 | |
| 18 | 2023 | 20 | |
| 19 | 2022 | 28 | |
| 20 | 2022 | 45 |
About Jing Qin
Jing Qin is a scholar working on Computer Vision and Pattern Recognition, Developmental Neuroscience and Computer Graphics and Computer-Aided Design, having authored 175 papers that have together received 2.8k indexed citations. Recurring topics across this work include AI in cancer detection (24 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), COVID-19 diagnosis using AI (9 papers), Advanced Neural Network Applications (9 papers), 3D Shape Modeling and Analysis (9 papers), Brain Tumor Detection and Classification (7 papers), Human Pose and Action Recognition (7 papers) and Advanced Combustion Engine Technologies (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computer Graphics and Computer-Aided Design (78 citations) and Developmental Neuroscience (86 citations). Jing Qin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Pheng‐Ann Heng, Xuemiao Xu, Mingqiang Wei, Xiaowei Hu, Guoqiang Han, Zijun Deng, Lei Zhu, Cheng Chen, Qi Dou and Xuefeng Yan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.