Lingwei Wei
Impact in
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- Emotion and Mood Recognition
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Speech and dialogue systems
Papers in
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- Topic Modeling 9
- Sentiment Analysis and Opinion Mining 7
- Natural Language Processing Techniques 5
- Advanced Text Analysis Techniques 3
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- Misinformation and Its Impacts 5
- Co-authors
- Dou Hu (11 shared papers)Songlin Hu (13 shared papers)Wei Zhou (4 shared papers)Wei Zhou (3 shared papers)Qianwen Ma (2 shared papers)Wei Zhou (2 shared papers)Yuping Zhao (1 shared paper)Daren Zha (2 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Transactions on Multimedia (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
In The Last Decade
Lingwei Wei
18 papers receiving 457 citations
Peers
Comparison fields: 5 of 40
- Experimental and Cognitive Psychology 227
- Artificial Intelligence 327
- Signal Processing 52
- Statistical and Nonlinear Physics 54
- Information Systems 66
Countries citing papers authored by Lingwei Wei
This map shows the geographic impact of Lingwei Wei'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 Lingwei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingwei Wei more than expected).
Fields of papers citing papers by Lingwei Wei
This network shows the impact of papers produced by Lingwei Wei. 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 Lingwei Wei. The network helps show where Lingwei Wei may publish in the future.
Co-authors
The 23 scholars most cited alongside Lingwei Wei, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 143 | |
| 2 | 2022 | 104 | |
| 3 | 2021 | 68 | |
| 4 | 2023 | 35 | |
| 5 | 2022 | 30 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2024 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2023 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 3 | |
| 15 | SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER | 2020 | 2 |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Lingwei Wei
Lingwei Wei is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 21 papers that have together received 465 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (7 papers), Natural Language Processing Techniques (5 papers), Misinformation and Its Impacts (5 papers), Complex Network Analysis Techniques (4 papers), Advanced Text Analysis Techniques (3 papers), Spam and Phishing Detection (2 papers) and Opinion Dynamics and Social Influence (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (227 citations), Artificial Intelligence (327 citations), Signal Processing (52 citations), Statistical and Nonlinear Physics (54 citations) and Information Systems (66 citations). Lingwei Wei has collaborated with scholars based in China and Poland. Frequent co-authors include Dou Hu, Songlin Hu, Wei Zhou, Wei Zhou, Qianwen Ma, Wei Zhou, Yuping Zhao, Daren Zha, Tianci Wang and Yijun Su. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, Findings of the Association for Computational Linguistics: ACL 2022, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.