Yafu Li

686 citations
18 papers · 139 · 1 hit paper · h-index 6

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Domain Adaptation and Few-Shot Learning
    • Text Readability and Simplification
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies

Papers in

Yafu Li

14 papers receiving 132 citations

Yafu Li's Hit Papers

🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models 2025 · 49 citations
490Years since publication10203040

Peers

Yafu Li
Comparison fields: 5 of 31
  • Health Informatics 4
  • Artificial Intelligence 79
  • Computer Vision and Pattern Recognition 21
  • Software 2
  • Safety Research 4
Replace Tosin Adewumi with:
Tosin Adewumi Sweden
Fabrice Muhlenbach France
Terry Yue Zhuo Australia
Ekin Akyürek United States
Kumar Shridhar Switzerland
Gowthami Somepalli United States
Dongfu Jiang United States
Abdelrahaman Aly Belgium
Chenggang Zhao China
Lea Schönherr Germany
Yafu Li relative to Tosin Adewumi Sweden Tosin Adewumi's profile →
Citations per field
00.5×10×
Tosin Adewumi · 1×
Citations per year

Countries citing papers authored by Yafu Li

Since Specialization
Citations

This map shows the geographic impact of Yafu Li'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 Yafu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yafu Li more than expected).

Fields of papers citing papers by Yafu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yafu Li. 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 Yafu Li. The network helps show where Yafu Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Yafu Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yafu Li Line = papers co-authored together Yafu Li links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Hit paper breakdown →
202549
2 202119
3 202416
4 202215
5 202313
6 20257
7 20225
8 20224
9 20233
10 20232
11 20232
12 20242
13 20241
14 20251
15 20240
16 20250
17 20240
18 20250

About Yafu Li

Yafu Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Computational Theory and Mathematics, having authored 18 papers that have together received 139 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers), Multimodal Machine Learning Applications (5 papers), Text Readability and Simplification (1 paper), Computational and Text Analysis Methods (1 paper), Biomedical Text Mining and Ontologies (1 paper), Translation Studies and Practices (1 paper) and Library Science and Information Systems (1 paper). The work is most often cited by research in Health Informatics (4 citations), Artificial Intelligence (79 citations), Computer Vision and Pattern Recognition (21 citations), Software (2 citations) and Safety Research (4 citations). Yafu Li has collaborated with scholars based in China, Germany and South Sudan. Frequent co-authors include Yue Zhang, Yongjing Yin, Leyang Cui, Yulong Chen, Longyue Wang, Jing Li, Tingchen Fu, Wei Bi, Yanwen Zhang and Freda Shi. Their work appears in journals such as Information Fusion, Computational Linguistics, IEEE/ACM Transactions on Audio Speech and Language Processing, Findings of the Association for Computational Linguistics: ACL 2022 and IEEE Transactions on Audio Speech and Language Processing.

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.

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