Bingkun Wang
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- General Social Sciences top 10%
Papers in
-
- Sentiment Analysis and Opinion Mining 12
- Text and Document Classification Technologies 7
- Advanced Text Analysis Techniques 5
- Topic Modeling 4
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- 2D Materials and Applications 4
- Graphene research and applications 4
- Co-authors
- Shufeng Xiong (6 shared papers)Donghong Ji (1 shared paper)Yongfeng Huang (7 shared papers)Xing Li (4 shared papers)Li Ma (2 shared papers)Bing Chen (1 shared paper)Gang Wang (10 shared papers)Weimin Mao (3 shared papers)
- Journals
- IEEE Electron Device Letters (3 papers)Computational Intelligence and Neuroscience (2 papers)Scientific Reports (2 papers)Marine Environmental Research (2 papers)Journal of Alloys and Compounds (2 papers)
- Partner nations
- ChinaMalaysiaUnited States
In The Last Decade
Bingkun Wang
46 papers receiving 565 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 176
- General Social Sciences 10
- Information Systems 63
- Materials Chemistry 122
- Industrial and Manufacturing Engineering 25
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 70 | |
| 2 | 2018 | 45 | |
| 3 | 2022 | 30 | |
| 4 | 2024 | 29 | |
| 5 | 2017 | 25 | |
| 6 | 2021 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2023 | 21 | |
| 9 | 2018 | 21 | |
| 10 | 2022 | 21 | |
| 11 | 2024 | 21 | |
| 12 | 2022 | 20 | |
| 13 | 2015 | 19 | |
| 14 | 2023 | 17 | |
| 15 | 2021 | 14 | |
| 16 | 2024 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2024 | 11 | |
| 20 | 2019 | 11 |
About Bingkun Wang
Bingkun Wang is a scholar working on Artificial Intelligence, Materials Chemistry, Biomedical Engineering, Information Systems and Oceanography, having authored 49 papers that have together received 578 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), Advanced Text Analysis Techniques (5 papers), 2D Materials and Applications (4 papers), Topic Modeling (4 papers) and Graphene research and applications (4 papers). The work is most often cited by research in Artificial Intelligence (176 citations), General Social Sciences (10 citations), Information Systems (63 citations), Materials Chemistry (122 citations) and Industrial and Manufacturing Engineering (25 citations). Bingkun Wang has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Shufeng Xiong, Donghong Ji, Yongfeng Huang, Xing Li, Li Ma, Bing Chen, Gang Wang, Weimin Mao, J. Fan and Guanglin Zhang. Their work appears in journals such as IEEE Electron Device Letters, Computational Intelligence and Neuroscience, Scientific Reports, Marine Environmental Research and Journal of Alloys and Compounds.
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.