Bingning Wang
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
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- Advanced oxidation water treatment
Papers in
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- Topic Modeling 11
- Natural Language Processing Techniques 7
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- Advanced Battery Materials and Technologies 8
- Advancements in Battery Materials 7
- Co-authors
- Kang Liu (7 shared papers)Jun Zhao (5 shared papers)Lizhi Zhang (2 shared papers)Wenjuan Shen (2 shared papers)Zhihui Ai (2 shared papers)Yi Mu (1 shared paper)Jianming Ying (7 shared papers)Lei Guo (7 shared papers)
- Journals
- Applied Surface Science (1 paper)ACS Energy Letters (1 paper)Journal of Advanced Research (1 paper)BMC Cancer (1 paper)Diagnostic Pathology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Bingning Wang
34 papers receiving 445 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 211
- Water Science and Technology 48
- Computer Vision and Pattern Recognition 66
- Information Systems 58
- Pulmonary and Respiratory Medicine 61
Countries citing papers authored by Bingning Wang
This map shows the geographic impact of Bingning 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 Bingning Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingning Wang more than expected).
Fields of papers citing papers by Bingning Wang
This network shows the impact of papers produced by Bingning 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 Bingning Wang. The network helps show where Bingning Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingning 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 116 | |
| 2 | 2016 | 64 | |
| 3 | 2016 | 29 | |
| 4 | 2017 | 25 | |
| 5 | 2020 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2020 | 17 | |
| 8 | 2024 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2023 | 11 | |
| 12 | 2025 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2017 | 10 | |
| 15 | Employing external rich knowledge for machine comprehension | 2016 | 8 |
| 16 | 2024 | 7 | |
| 17 | 2020 | 7 | |
| 18 | PIK3CA mutations and downstream effector p-mTOR expression: implication for prognostic factors and therapeutic targets in triple negative breast cancer. | 2017 | 6 |
| 19 | 2023 | 5 | |
| 20 | 2019 | 5 |
About Bingning Wang
Bingning Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Oncology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 457 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Advanced Battery Materials and Technologies (8 papers), Natural Language Processing Techniques (7 papers), Advancements in Battery Materials (7 papers), Lung Cancer Treatments and Mutations (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Battery Technologies Research (4 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Artificial Intelligence (211 citations), Water Science and Technology (48 citations), Computer Vision and Pattern Recognition (66 citations), Information Systems (58 citations) and Pulmonary and Respiratory Medicine (61 citations). Bingning Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Kang Liu, Jun Zhao, Lizhi Zhang, Wenjuan Shen, Zhihui Ai, Yi Mu, Jianming Ying, Lei Guo, Jingfang Xu and Qi Zhang. Their work appears in journals such as Applied Surface Science, ACS Energy Letters, Journal of Advanced Research, BMC Cancer and Diagnostic Pathology.
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.