Bing Ji
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Biological Psychiatry top 10%
Papers in
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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)Menghua Zhang (2 shared papers)Xingong Cheng (2 shared papers)Yongfeng Zhang (2 shared papers)Chuan Zhang (5 shared papers)Yueming Sun (5 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (4 papers)Oncology Reports (3 papers)Computers in Biology and Medicine (2 papers)Aerospace Science and Technology (2 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Bing Ji
109 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 286
- Biological Psychiatry 29
- Health Informatics 11
- Cancer Research 104
- Radiology, Nuclear Medicine and Imaging 159
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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 247 | |
| 2 | 2020 | 134 | |
| 3 | 2017 | 100 | |
| 4 | 2021 | 80 | |
| 5 | 2017 | 59 | |
| 6 | FOXC1 promotes proliferation and epithelial-mesenchymal transition in cervical carcinoma through the PI3K-AKT signal pathway. | 2017 | 53 |
| 7 | 2019 | 52 | |
| 8 | 2015 | 50 | |
| 9 | 2019 | 49 | |
| 10 | 2011 | 47 | |
| 11 | 2018 | 47 | |
| 12 | 2020 | 47 | |
| 13 | 2019 | 42 | |
| 14 | 2018 | 40 | |
| 15 | 2016 | 39 | |
| 16 | Tissue of origin dictates branched-chain amino acid metabolism in mutant Kras-driven cancers | 2016 | 36 |
| 17 | 2022 | 34 | |
| 18 | 2020 | 34 | |
| 19 | 2016 | 33 | |
| 20 | 2021 | 32 |
About Bing Ji
Bing Ji is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence, having authored 123 papers that have together received 2.0k 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), Advanced Neural Network Applications (4 papers), Multiple Myeloma Research and Treatments (4 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced MRI Techniques and Applications (4 papers) and Bone health and osteoporosis research (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (286 citations), Biological Psychiatry (29 citations), Health Informatics (11 citations), Cancer Research (104 citations) and Radiology, Nuclear Medicine and Imaging (159 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, Menghua Zhang, Xingong Cheng, Yongfeng Zhang, Chuan Zhang, Yueming Sun, Shenglin Xiong and Yongling An. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Oncology Reports, Computers in Biology and Medicine, Aerospace Science and Technology and IEEE Transactions on Medical 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.