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%
Papers in
-
- Topic Modeling 62
- Natural Language Processing Techniques 58
- Text Readability and Simplification 11
- Speech and dialogue systems 10
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- Multimodal Machine Learning Applications 22
- 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 (10 shared papers)Dacheng Tao (5 shared papers)Xing Wang (7 shared papers)
In The Last Decade
Longyue Wang
82 papers receiving 940 citations
Longyue Wang's Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 693
- Health Informatics 26
- Computer Vision and Pattern Recognition 246
- Computational Theory and Mathematics 36
- Energy Engineering and Power Technology 6
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2023 | 76 | |
| 3 | 🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models Hit paper breakdown → | 2025 | 49 |
| 4 | 2021 | 43 | |
| 5 | 2019 | 38 | |
| 6 | 2024 | 33 | |
| 7 | 2019 | 30 | |
| 8 | 2018 | 27 | |
| 9 | 2021 | 26 | |
| 10 | 2021 | 24 | |
| 11 | 2024 | 22 | |
| 12 | 2019 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2024 | 20 | |
| 15 | 2019 | 18 | |
| 16 | 2014 | 17 | |
| 17 | 2022 | 17 | |
| 18 | 2024 | 16 | |
| 19 | 2018 | 16 | |
| 20 | 2023 | 15 |
About Longyue Wang
Longyue Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Computational Theory and Mathematics, having authored 92 papers that have together received 990 indexed citations. Recurring topics across this work include Topic Modeling (62 papers), Natural Language Processing Techniques (58 papers), Multimodal Machine Learning Applications (22 papers), Text Readability and Simplification (11 papers), Speech and dialogue systems (10 papers), Computational Drug Discovery Methods (6 papers), Web Data Mining and Analysis (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Artificial Intelligence (693 citations), Health Informatics (26 citations), Computer Vision and Pattern Recognition (246 citations), Computational Theory and Mathematics (36 citations) and Energy Engineering and Power Technology (6 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 Chenyang Lyu. Their work appears in journals such as Language Resources and Evaluation, Computer Speech & Language, International Journal of Machine Learning and Cybernetics, Neurocomputing and IEEE Journal of Biomedical and Health Informatics.
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.