Bing Ji
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
Papers in
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- Advanced MRI Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 4
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- Advanced Neural Network Applications 4
- Co-authors
- Yibin Li (4 shared papers)Xin Ma (1 shared paper)Haibo Wang (1 shared paper)Yongfeng Zhang (2 shared papers)Menghua Zhang (2 shared papers)Xingong Cheng (2 shared papers)Yueming Sun (5 shared papers)Chuan Zhang (5 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (4 papers)Oncology Reports (3 papers)Computers in Biology and Medicine (2 papers)Human Brain Mapping (2 papers)Magnetic Resonance Imaging (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Bing Ji
116 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 292
- Biological Psychiatry 29
- Cancer Research 106
- Radiology, Nuclear Medicine and Imaging 164
- Health Informatics 11
Countries citing papers authored by Bing Ji
This map shows the geographic impact of Bing Ji'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 Bing Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Ji more than expected).
Fields of papers citing papers by Bing Ji
This network shows the impact of papers produced by Bing Ji. 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 Bing Ji. The network helps show where Bing Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Ji, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 247 | |
| 2 | 2020 | 139 | |
| 3 | 2017 | 100 | |
| 4 | 2021 | 87 | |
| 5 | 2017 | 59 | |
| 6 | 2019 | 54 | |
| 7 | FOXC1 promotes proliferation and epithelial-mesenchymal transition in cervical carcinoma through the PI3K-AKT signal pathway. | 2017 | 53 |
| 8 | 2015 | 50 | |
| 9 | 2020 | 50 | |
| 10 | 2019 | 49 | |
| 11 | 2011 | 47 | |
| 12 | 2018 | 47 | |
| 13 | 2019 | 42 | |
| 14 | 2016 | 41 | |
| 15 | Tissue of origin dictates branched-chain amino acid metabolism in mutant Kras-driven cancers | 2016 | 41 |
| 16 | 2018 | 40 | |
| 17 | 2022 | 37 | |
| 18 | 2025 | 37 | |
| 19 | 2020 | 35 | |
| 20 | 2016 | 34 |
About Bing Ji
Bing Ji is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Oncology, Aerospace Engineering and Molecular Biology, having authored 126 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biomimetic flight and propulsion mechanisms (7 papers), Bone health and treatments (6 papers), Functional Brain Connectivity Studies (5 papers), Multiple Myeloma Research and Treatments (5 papers), Advanced Neural Network Applications (4 papers), ECG Monitoring and Analysis (4 papers), Advanced MRI Techniques and Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (292 citations), Biological Psychiatry (29 citations), Cancer Research (106 citations), Radiology, Nuclear Medicine and Imaging (164 citations) and Health Informatics (11 citations). Bing Ji has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yibin Li, Xin Ma, Haibo Wang, Yongfeng Zhang, Menghua Zhang, Xingong Cheng, Yueming Sun, Chuan Zhang, Jinkui Feng and Yongling An. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Oncology Reports, Computers in Biology and Medicine, Human Brain Mapping and Magnetic Resonance Imaging.
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.