Bingkun Wang
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Information Systems top 10%
Papers in
-
- Sentiment Analysis and Opinion Mining 12
- Text and Document Classification Technologies 7
- Advanced Text Analysis Techniques 4
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- Graphene research and applications 4
- 2D Materials and Applications 4
- Microstructure and mechanical properties 3
- Co-authors
- Shufeng Xiong (6 shared papers)Donghong Ji (1 shared paper)Yongfeng Huang (6 shared papers)Xing Li (4 shared papers)Bing Chen (1 shared paper)Li Ma (2 shared papers)J. Fan (3 shared papers)Weimin Mao (3 shared papers)
- Journals
- IEEE Electron Device Letters (3 papers)Scientific Reports (2 papers)Marine Environmental Research (2 papers)Journal of Alloys and Compounds (2 papers)Computational Intelligence and Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bingkun Wang
43 papers receiving 496 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 165
- Information Systems 57
- Industrial and Manufacturing Engineering 25
- General Social Sciences 8
- Materials Chemistry 105
Countries citing papers authored by Bingkun Wang
This map shows the geographic impact of Bingkun 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 Bingkun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingkun Wang more than expected).
Fields of papers citing papers by Bingkun Wang
This network shows the impact of papers produced by Bingkun 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 Bingkun Wang. The network helps show where Bingkun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingkun 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 67 | |
| 2 | 2018 | 39 | |
| 3 | 2022 | 30 | |
| 4 | 2024 | 27 | |
| 5 | 2017 | 24 | |
| 6 | 2020 | 22 | |
| 7 | 2023 | 20 | |
| 8 | 2021 | 20 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 18 | |
| 11 | 2018 | 18 | |
| 12 | 2015 | 17 | |
| 13 | 2024 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2024 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2013 | 10 |
About Bingkun Wang
Bingkun Wang is a scholar working on Artificial Intelligence, Materials Chemistry, Biomedical Engineering, Information Systems and Oceanography, having authored 47 papers that have together received 512 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (12 papers), Text and Document Classification Technologies (7 papers), Nanowire Synthesis and Applications (6 papers), Spam and Phishing Detection (5 papers), Graphene research and applications (4 papers), 2D Materials and Applications (4 papers), Advanced Text Analysis Techniques (4 papers) and Microstructure and mechanical properties (3 papers). The work is most often cited by research in Artificial Intelligence (165 citations), Information Systems (57 citations), Industrial and Manufacturing Engineering (25 citations), General Social Sciences (8 citations) and Materials Chemistry (105 citations). Bingkun Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shufeng Xiong, Donghong Ji, Yongfeng Huang, Xing Li, Bing Chen, Li Ma, J. Fan, Weimin Mao, Guanglin Zhang and Lei Liu. Their work appears in journals such as IEEE Electron Device Letters, Scientific Reports, Marine Environmental Research, Journal of Alloys and Compounds and Computational Intelligence 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.