Ji Cui
Impact in
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- Traditional Chinese Medicine Studies
- Acupuncture Treatment Research Studies
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- Artificial Intelligence in Healthcare
Papers in
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- Traditional Chinese Medicine Studies 18
- Traditional Chinese Medicine Analysis 3
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- Cardiovascular Health and Disease Prevention 4
- Co-authors
- Liping Tu (21 shared papers)Jing-bin Huang (10 shared papers)Jiatuo Xu (18 shared papers)Xiaojuan Hu (7 shared papers)Xuxiang Ma (9 shared papers)Xinghua Yao (11 shared papers)Jiatuo Xu (5 shared papers)Qingguang Chen (2 shared papers)
In The Last Decade
Ji Cui
32 papers receiving 501 citations
Peers
Comparison fields: 5 of 76
- Complementary and alternative medicine 277
- Health Information Management 42
- Cancer Research 43
- Health Informatics 4
- Cardiology and Cardiovascular Medicine 54
Countries citing papers authored by Ji Cui
This map shows the geographic impact of Ji Cui'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 Ji Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Cui more than expected).
Fields of papers citing papers by Ji Cui
This network shows the impact of papers produced by Ji Cui. 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 Ji Cui. The network helps show where Ji Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Cui, 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 | 2017 | 82 | |
| 2 | 2021 | 68 | |
| 3 | 2018 | 50 | |
| 4 | 2021 | 50 | |
| 5 | 2021 | 49 | |
| 6 | 2022 | 39 | |
| 7 | 2018 | 21 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2012 | 15 | |
| 12 | 2018 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2007 | 4 | |
| 20 | 2021 | 4 |
About Ji Cui
Ji Cui is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Physiology and Electrical and Electronic Engineering, having authored 34 papers that have together received 510 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (18 papers), Cardiovascular Health and Disease Prevention (4 papers), Traditional Chinese Medicine Analysis (3 papers), Image and Object Detection Techniques (2 papers), Advanced Measurement and Detection Methods (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Modular Robots and Swarm Intelligence (2 papers) and Salivary Gland Disorders and Functions (2 papers). The work is most often cited by research in Complementary and alternative medicine (277 citations), Health Information Management (42 citations), Cancer Research (43 citations), Health Informatics (4 citations) and Cardiology and Cardiovascular Medicine (54 citations). Ji Cui has collaborated with scholars based in China and Japan. Frequent co-authors include Liping Tu, Jing-bin Huang, Jiatuo Xu, Xiaojuan Hu, Xuxiang Ma, Xinghua Yao, Jiatuo Xu, Qingguang Chen, Xiaojuan Hu and Jun Li. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, BioMed Research International, BMC Medical Informatics and Decision Making, Computers in Biology and Medicine and Frontiers in Public Health.
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.