Longyue Wang
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Topic Modeling 61
- Natural Language Processing Techniques 57
- Text Readability and Simplification 11
- Speech and dialogue systems 10
- Text and Document Classification Technologies 3
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- Multimodal Machine Learning Applications 21
- Co-authors
- Zhaopeng Tu (38 shared papers)Shuming Shi (22 shared papers)Andy Way (7 shared papers)Derek F. Wong (19 shared papers)Qun Liu (2 shared papers)Liang Ding (9 shared papers)Dacheng Tao (5 shared papers)Xing Wang (7 shared papers)
In The Last Decade
Longyue Wang
80 papers receiving 853 citations
Longyue Wang's Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 685
- Health Informatics 28
- Computer Vision and Pattern Recognition 238
- Energy Engineering and Power Technology 6
- Computational Theory and Mathematics 30
Countries citing papers authored by Longyue Wang
This map shows the geographic impact of Longyue 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 Longyue Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longyue Wang more than expected).
Fields of papers citing papers by Longyue Wang
This network shows the impact of papers produced by Longyue 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 Longyue Wang. The network helps show where Longyue Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Longyue 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2023 | 72 | |
| 3 | 2021 | 40 | |
| 4 | 2019 | 37 | |
| 5 | 2024 | 31 | |
| 6 | 2019 | 28 | |
| 7 | 🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models Hit paper breakdown → | 2025 | 27 |
| 8 | 2018 | 27 | |
| 9 | 2021 | 26 | |
| 10 | 2021 | 24 | |
| 11 | 2019 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2019 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2014 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2024 | 13 | |
| 19 | 2014 | 13 | |
| 20 | 2020 | 13 |
About Longyue Wang
Longyue Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Computational Theory and Mathematics and Information Systems, having authored 90 papers that have together received 901 indexed citations. Recurring topics across this work include Topic Modeling (61 papers), Natural Language Processing Techniques (57 papers), Multimodal Machine Learning Applications (21 papers), Text Readability and Simplification (11 papers), Speech and dialogue systems (10 papers), Computational Drug Discovery Methods (7 papers), Web Data Mining and Analysis (4 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Artificial Intelligence (685 citations), Health Informatics (28 citations), Computer Vision and Pattern Recognition (238 citations), Energy Engineering and Power Technology (6 citations) and Computational Theory and Mathematics (30 citations). Longyue Wang has collaborated with scholars based in China, Macao and Ireland. Frequent co-authors include Zhaopeng Tu, Shuming Shi, Andy Way, Derek F. Wong, Qun Liu, Liang Ding, Dacheng Tao, Xing Wang, Lidia S. Chao and Xuebo Liu. Their work appears in journals such as Language Resources and Evaluation, International Journal of Machine Learning and Cybernetics, Computational Linguistics, Transactions of the Association for Computational Linguistics and Nature Communications.
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.