Jinjin Hai
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 12
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- AI in cancer detection 7
Jinjin Hai
21 papers receiving 594 citations
Peers
Comparison fields: 5 of 75
- Media Technology 179
- Hepatology 146
- Radiology, Nuclear Medicine and Imaging 303
- Computer Vision and Pattern Recognition 173
- Health Informatics 9
Countries citing papers authored by Jinjin Hai
This map shows the geographic impact of Jinjin Hai'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 Jinjin Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjin Hai more than expected).
Fields of papers citing papers by Jinjin Hai
This network shows the impact of papers produced by Jinjin Hai. 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 Jinjin Hai. The network helps show where Jinjin Hai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinjin Hai, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 14 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 0 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 60 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 54 | |
| 14 | 2019 | 41 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 11 | |
| 17 | 2018 | 23 | |
| 18 | 2018 | 146 | |
| 19 | 2018 | 14 | |
| 20 | 2017 | 1 |
About Jinjin Hai
Jinjin Hai is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Hepatology, Computer Vision and Pattern Recognition and Neurology, having authored 25 papers that have together received 611 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (7 papers), Medical Imaging and Analysis (7 papers), Medical Image Segmentation Techniques (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Renal cell carcinoma treatment (3 papers), Advanced Neural Network Applications (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Media Technology (179 citations), Hepatology (146 citations), Radiology, Nuclear Medicine and Imaging (303 citations), Computer Vision and Pattern Recognition (173 citations) and Health Informatics (9 citations). Jinjin Hai has collaborated with scholars based in China, Switzerland and Macao. Frequent co-authors include Shaowen Yao, Xin Jin, Qian Jiang, Dongming Zhou, Kangjian He, Rencan Nie, Hongna Tan, Dapeng Shi, Minghui Wu and Kai Qiao. Their work appears in journals such as Abdominal Radiology, Computer Methods and Programs in Biomedicine, Computerized Medical Imaging and Graphics, IEEE Access and European Radiology.
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.