Bin Zhang
- Health Informatics top 5%
- Genetics top 5%
- Glioma Diagnosis and Treatment 13
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 21
- Cancer Research top 10%
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- Radiomics and Machine Learning in Medical Imaging 20
- MRI in cancer diagnosis 17
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- Lung Cancer Diagnosis and Treatment 14
- Lung Cancer Treatments and Mutations 10
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- Kruppel-like factors research 10
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- Nerve injury and regeneration 9
- Cited by
- Health InformaticsGeneticsHepatology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Zhang
174 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Health Informatics 49
- Genetics 230
- Hepatology 163
- Cancer Research 280
- Radiology, Nuclear Medicine and Imaging 388
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
The 25 scholars most cited alongside Bin Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 8 | |
| 7 | Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4breakdown → | 2024 | 57 |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 30 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 29 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 59 | |
| 17 | 2020 | 1 | |
| 18 | 2018 | 20 | |
| 19 | 2016 | 13 | |
| 20 | A Simulation Study on Nerve Block by Electrical Stimulation with High Frequency | 2015 | 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), MRI in cancer diagnosis (17 papers), Lung Cancer Diagnosis and Treatment (14 papers), Glioma Diagnosis and Treatment (13 papers), Lung Cancer Treatments and Mutations (10 papers), Kruppel-like factors research (10 papers) and Nerve injury and regeneration (9 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.