Linyi Yang
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Explainable Artificial Intelligence (XAI)
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
Papers in
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- Topic Modeling 11
- Natural Language Processing Techniques 6
- Domain Adaptation and Few-Shot Learning 3
- Sentiment Analysis and Opinion Mining 2
- Advanced Text Analysis Techniques 2
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- Stock Market Forecasting Methods 5
- Co-authors
- Yue Zhang (6 shared papers)Jindong Wang (7 shared papers)Yidong Wang (4 shared papers)Qiang Yang (1 shared paper)Philip S. Yu (1 shared paper)Hao Chen (1 shared paper)Xiaoyuan Yi (1 shared paper)Yi Chang (1 shared paper)
In The Last Decade
Linyi Yang
24 papers receiving 1.6k citations
Linyi Yang's Hit Papers
Peers
Comparison fields: 5 of 129
- Health Informatics 94
- Artificial Intelligence 805
- Management Science and Operations Research 144
- Software 41
- Information Systems 222
Countries citing papers authored by Linyi Yang
This map shows the geographic impact of Linyi Yang'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 Linyi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linyi Yang more than expected).
Fields of papers citing papers by Linyi Yang
This network shows the impact of papers produced by Linyi Yang. 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 Linyi Yang. The network helps show where Linyi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linyi Yang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on Evaluation of Large Language Models Hit paper breakdown → | 2024 | 1322 |
| 2 | 2020 | 74 | |
| 3 | 2020 | 42 | |
| 4 | 2021 | 26 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 20 | |
| 7 | 2022 | 17 | |
| 8 | 2024 | 17 | |
| 9 | 2023 | 14 | |
| 10 | Leveraging BERT to Improve the FEARS Index for Stock Forecasting | 2019 | 10 |
| 11 | 2024 | 8 | |
| 12 | Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction | 2017 | 7 |
| 13 | 2023 | 6 | |
| 14 | 2025 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 2 |
About Linyi Yang
Linyi Yang is a scholar working on Artificial Intelligence, Management Science and Operations Research, Finance, Computer Vision and Pattern Recognition and Molecular Biology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers), Stock Market Forecasting Methods (5 papers), Financial Markets and Investment Strategies (4 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (94 citations), Artificial Intelligence (805 citations), Management Science and Operations Research (144 citations), Software (41 citations) and Information Systems (222 citations). Linyi Yang has collaborated with scholars based in China, Ireland and Germany. Frequent co-authors include Yue Zhang, Jindong Wang, Yidong Wang, Qiang Yang, Philip S. Yu, Hao Chen, Xiaoyuan Yi, Yi Chang, Xing Xie and Cunxiang Wang. Their work appears in journals such as Frontiers in Aging Neuroscience, IEEE Transactions on Medical Imaging, ACM Transactions on Intelligent Systems and Technology, ACM Computing Surveys and Energy & Environmental Science.
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.