Tingchen Fu
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- AI in Service Interactions
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Papers in
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- Topic Modeling 6
- Speech and dialogue systems 5
- Natural Language Processing Techniques 5
- Logic, programming, and type systems 1
- AI in Service Interactions 1
- Logic, Reasoning, and Knowledge 1
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- Multimodal Machine Learning Applications 2
- Co-authors
- Rui Yan (6 shared papers)Ji-Rong Wen (2 shared papers)Xueliang Zhao (1 shared paper)Shen Gao (1 shared paper)Yulong Chen (1 shared paper)Yafu Li (1 shared paper)Yue Zhang (1 shared paper)Wei Bi (1 shared paper)
- Journals
- Computational Linguistics (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- ChinaFinlandSouth Sudan
In The Last Decade
Tingchen Fu
6 papers receiving 99 citations
Tingchen Fu's Hit Papers
Peers
Comparison fields: 5 of 37
- Health Informatics 5
- Artificial Intelligence 54
- Computer Science Applications 5
- Human-Computer Interaction 4
- Computer Vision and Pattern Recognition 9
Countries citing papers authored by Tingchen Fu
This map shows the geographic impact of Tingchen Fu'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 Tingchen Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingchen Fu more than expected).
Fields of papers citing papers by Tingchen Fu
This network shows the impact of papers produced by Tingchen Fu. 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 Tingchen Fu. The network helps show where Tingchen Fu may publish in the future.
Co-authors
The 24 scholars most cited alongside Tingchen Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models Hit paper breakdown → | 2025 | 50 |
| 2 | 2022 | 31 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2022 | 0 | |
| 9 | 2025 | 0 |
About Tingchen Fu
Tingchen Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 101 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Speech and dialogue systems (5 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (2 papers), Logic, programming, and type systems (1 paper), Formal Methods in Verification (1 paper), AI in Service Interactions (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (54 citations), Computer Science Applications (5 citations), Human-Computer Interaction (4 citations) and Computer Vision and Pattern Recognition (9 citations). Tingchen Fu has collaborated with scholars based in China, Finland and South Sudan. Frequent co-authors include Rui Yan, Ji-Rong Wen, Xueliang Zhao, Shen Gao, Yulong Chen, Yafu Li, Yue Zhang, Wei Bi, Leyang Cui and Yanwen Zhang. Their work appears in journals such as Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and DOAJ (DOAJ: Directory of Open Access Journals).
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.