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 10
- Advancements in Battery Materials 9
- Co-authors
- Kang Liu (7 shared papers)Jun Zhao (5 shared papers)Zhihui Ai (2 shared papers)Wenjuan Shen (2 shared papers)Lizhi Zhang (2 shared papers)Yi Mu (1 shared paper)Jianming Ying (7 shared papers)Jingfang Xu (5 shared papers)
- Journals
- Nature Communications (1 paper)Applied Surface Science (1 paper)Diagnostic Pathology (1 paper)Journal of The Electrochemical Society (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Bingning Wang
36 papers receiving 487 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 210
- Water Science and Technology 48
- Computer Vision and Pattern Recognition 67
- Information Systems 59
- Automotive Engineering 26
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2016 | 64 | |
| 3 | 2016 | 30 | |
| 4 | 2024 | 26 | |
| 5 | 2017 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2017 | 23 | |
| 8 | 2025 | 21 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2015 | 14 | |
| 12 | 2023 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2020 | 8 | |
| 17 | Employing external rich knowledge for machine comprehension | 2016 | 8 |
| 18 | 2023 | 7 | |
| 19 | 2025 | 6 | |
| 20 | 2023 | 6 |
About Bingning Wang
Bingning Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Automotive Engineering and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 497 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Advanced Battery Materials and Technologies (10 papers), Advancements in Battery Materials (9 papers), Natural Language Processing Techniques (7 papers), Advanced Battery Technologies Research (6 papers), Multimodal Machine Learning Applications (5 papers), Lung Cancer Treatments and Mutations (4 papers) and Expert finding and Q&A systems (3 papers). The work is most often cited by research in Artificial Intelligence (210 citations), Water Science and Technology (48 citations), Computer Vision and Pattern Recognition (67 citations), Information Systems (59 citations) and Automotive Engineering (26 citations). Bingning Wang has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Kang Liu, Jun Zhao, Zhihui Ai, Wenjuan Shen, Lizhi Zhang, Yi Mu, Jianming Ying, Jingfang Xu, Lei Guo and Qi Zhang. Their work appears in journals such as Nature Communications, Applied Surface Science, Diagnostic Pathology, Journal of The Electrochemical Society and PLoS ONE.
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.