Binbing Wang
Impact in
-
- Gold and Silver Nanoparticles Synthesis and Applications
- Radiation top 10%
- Advanced Radiotherapy Techniques
Papers in
- Radiation 11
- Advanced Radiotherapy Techniques 11
-
- Brain Tumor Detection and Classification 8
- Co-authors
- Tao Jiang (4 shared papers)Jun Zhou (4 shared papers)Li Zhang (2 shared papers)Lucia Petti (2 shared papers)Pasquale Mormile (2 shared papers)Xue Bai (7 shared papers)Guoping Shan (9 shared papers)Junpeng Li (2 shared papers)
- Journals
- BioMedical Engineering OnLine (4 papers)Vaccines (3 papers)Cerebral Cortex (3 papers)Scientific Reports (3 papers)Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Binbing Wang
29 papers receiving 320 citations
Peers
Comparison fields: 5 of 79
- Electronic, Optical and Magnetic Materials 117
- Radiation 48
- Health Informatics 5
- Statistics and Probability 24
- Health Information Management 12
Countries citing papers authored by Binbing Wang
This map shows the geographic impact of Binbing Wang'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 Binbing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbing Wang more than expected).
Fields of papers citing papers by Binbing Wang
This network shows the impact of papers produced by Binbing Wang. 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 Binbing Wang. The network helps show where Binbing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbing Wang, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 47 | |
| 2 | 2015 | 40 | |
| 3 | 2014 | 34 | |
| 4 | 2024 | 27 | |
| 5 | 2024 | 26 | |
| 6 | 2014 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2016 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2024 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2025 | 4 |
About Binbing Wang
Binbing Wang is a scholar working on Radiation, Neurology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Electronic, Optical and Magnetic Materials, having authored 39 papers that have together received 324 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (11 papers), Brain Tumor Detection and Classification (8 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Nanocluster Synthesis and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (117 citations), Radiation (48 citations), Health Informatics (5 citations), Statistics and Probability (24 citations) and Health Information Management (12 citations). Binbing Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Jiang, Jun Zhou, Li Zhang, Lucia Petti, Pasquale Mormile, Xue Bai, Guoping Shan, Junpeng Li, Ancha Xu and Yanting Liu. Their work appears in journals such as BioMedical Engineering OnLine, Vaccines, Cerebral Cortex, Scientific Reports and Neuroscience.
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.