Bin Zhang
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Cancer Research top 10%
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (21 papers)Radiomics and Machine Learning in Medical Imaging (20 papers)MRI in cancer diagnosis (17 papers)
- Cited by
- Health InformaticsGeneticsHepatology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Clinical Oncology
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Zhang
174 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 872
- Pulmonary and Respiratory Medicine 460
- Radiology, Nuclear Medicine and Imaging 388
- Oncology 354
- Cancer Research 280
Countries citing papers authored by Bin Zhang
This map shows the geographic impact of Bin Zhang'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 Bin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Zhang more than expected).
Fields of papers citing papers by Bin Zhang
This network shows the impact of papers produced by Bin Zhang. 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 Bin Zhang. The network helps show where Bin Zhang may publish in the future.
Co-authorship network of co-authors of Bin Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Zhang. A scholar is included among the top collaborators of Bin Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Zhang. Bin Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4breakdown → | 57 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 30 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 29 | |
| 15 | 11 | |
| 16 | 59 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 13 | |
| 20 | A Simulation Study on Nerve Block by Electrical Stimulation with High Frequency | 1 |
About Bin Zhang
Bin Zhang is a scholar working on Hepatology, Genetics and Health Informatics, having authored 187 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and MRI in cancer diagnosis (17 papers). The work is most often cited by research in Health Informatics (49 citations), Genetics (230 citations) and Hepatology (163 citations). Bin Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanru Xue, Xin Li, Peng Shang, Ying Shen, Dandan Dong, Peter G. Wolynes, Shuixing Zhang, Zhe Jin, Qiuying Chen and Shuangxin Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.