Bingxin Gu
Impact in
- Otorhinolaryngology top 10%
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in ⓘ
-
- Radiomics and Machine Learning in Medical Imaging 12
- Medical Imaging Techniques and Applications 9
- Oncology 16
- Peptidase Inhibition and Analysis 9
- Co-authors
- Shaoli Song (26 shared papers)Xianghua Wu (1 shared paper)Ping Zhang (1 shared paper)Xiaoping Xu (12 shared papers)Zhongyi Yang (14 shared papers)Silong Hu (4 shared papers)Wei Tang (3 shared papers)Lei Bi (4 shared papers)
In The Last Decade
Bingxin Gu
44 papers receiving 664 citations
Peers
Comparison fields: 5 of 89
- Otorhinolaryngology 50
- Oncology 273
- Cancer Research 132
- Radiology, Nuclear Medicine and Imaging 157
- Biomaterials 86
Countries citing papers authored by Bingxin Gu
This map shows the geographic impact of Bingxin Gu'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 Bingxin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingxin Gu more than expected).
Fields of papers citing papers by Bingxin Gu
This network shows the impact of papers produced by Bingxin Gu. 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 Bingxin Gu. The network helps show where Bingxin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingxin Gu, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 107 | |
| 2 | 2016 | 48 | |
| 3 | 2020 | 44 | |
| 4 | 2021 | 43 | |
| 5 | 2019 | 43 | |
| 6 | 2022 | 40 | |
| 7 | 2021 | 33 | |
| 8 | 2022 | 31 | |
| 9 | 2022 | 30 | |
| 10 | 2023 | 26 | |
| 11 | 2020 | 19 | |
| 12 | 2022 | 16 | |
| 13 | 2024 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2014 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2021 | 9 |
About Bingxin Gu
Bingxin Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 47 papers that have together received 673 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Nanoplatforms for cancer theranostics (10 papers), Peptidase Inhibition and Analysis (9 papers), Medical Imaging Techniques and Applications (9 papers), Protease and Inhibitor Mechanisms (7 papers), Cardiac Structural Anomalies and Repair (5 papers), Head and Neck Cancer Studies (5 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). The work is most often cited by research in Otorhinolaryngology (50 citations), Oncology (273 citations), Cancer Research (132 citations), Radiology, Nuclear Medicine and Imaging (157 citations) and Biomaterials (86 citations). Bingxin Gu has collaborated with scholars based in China, Australia and France. Frequent co-authors include Shaoli Song, Xianghua Wu, Ping Zhang, Xiaoping Xu, Zhongyi Yang, Silong Hu, Wei Tang, Lei Bi, Mingyuan Meng and Dagan Feng. Their work appears in journals such as Frontiers in Oncology, European Journal of Nuclear Medicine and Molecular Imaging, Cancer Imaging, Journal of Nuclear Medicine and Oncotarget.
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.