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
- Natural Language Processing Techniques 5
- Speech and dialogue systems 5
- AI in Service Interactions 1
- Machine Learning in Healthcare 1
- Computational Physics and Python Applications 1
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- Multimodal Machine Learning Applications 2
- Co-authors
- Rui Yan (6 shared papers)Ji-Rong Wen (2 shared papers)Shen Gao (1 shared paper)Xueliang Zhao (1 shared paper)Yulong Chen (1 shared paper)Xinting Huang (2 shared papers)Wei Bi (1 shared paper)Yafu Li (1 shared paper)
- Journals
- Computational Linguistics (1 paper)SHILAP Revista de lepidopterología (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)
In The Last Decade
Tingchen Fu
6 papers receiving 64 citations
Tingchen Fu's Hit Papers
Peers
Comparison fields: 5 of 30
- Health Informatics 5
- Artificial Intelligence 45
- Computer Science Applications 5
- Developmental and Educational Psychology 5
- Human-Computer Interaction 2
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 22 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 | 27 |
| 2 | 2022 | 24 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2022 | 0 |
About Tingchen Fu
Tingchen Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases, Organic Chemistry and Surgery, having authored 8 papers that have together received 67 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Speech and dialogue systems (5 papers), Multimodal Machine Learning Applications (2 papers), AI in Service Interactions (1 paper), Machine Learning in Healthcare (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (45 citations), Computer Science Applications (5 citations), Developmental and Educational Psychology (5 citations) and Human-Computer Interaction (2 citations). Tingchen Fu has collaborated with scholars based in China, Finland and Taiwan. Frequent co-authors include Rui Yan, Ji-Rong Wen, Shen Gao, Xueliang Zhao, Yulong Chen, Xinting Huang, Wei Bi, Yafu Li, Freda Shi and Chongyang Tao. Their work appears in journals such as Computational Linguistics, SHILAP Revista de lepidopterología, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.