Linyi Yang

3.3k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

Linyi Yang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Finance. According to data from OpenAlex, Linyi Yang has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 4 papers in Finance. Recurrent topics in Linyi Yang's work include Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers) and Stock Market Forecasting Methods (5 papers). Linyi Yang is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers) and Stock Market Forecasting Methods (5 papers). Linyi Yang collaborates with scholars based in China, Ireland and Germany. Linyi Yang's co-authors include Yue Zhang, Jindong Wang, Yidong Wang, Xiaoyuan Yi, Philip S. Yu, Kaijie Zhu, Yi Chang, Hao Chen, Qiang Yang and Xing Xie and has published in prestigious journals such as Energy & Environmental Science, IEEE Transactions on Medical Imaging and ACM Computing Surveys.

In The Last Decade

Linyi Yang

22 papers receiving 1.2k citations

Hit Papers

A Survey on Evaluation of Large Language Models 2024 2026 2025 2024 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey on Evaluation of Large Language Models
    2024 1.0k citations Xu Wang, Jindong Wang et al. ACM Transactions on Intelligent Systems and Technology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Linyi Yang China 10 687 179 127 113 89 24 1.3k
Cunxiang Wang China 4 628 0.9× 165 0.9× 59 0.5× 106 0.9× 87 1.0× 16 1.1k
Kaijie Zhu China 3 552 0.8× 164 0.9× 56 0.4× 87 0.8× 89 1.0× 4 1.1k
Yuan Wu China 6 533 0.8× 157 0.9× 55 0.4× 86 0.8× 86 1.0× 18 1.1k
Moninder Singh United States 17 560 0.8× 162 0.9× 94 0.7× 95 0.8× 61 0.7× 53 958
Xiaoyuan Yi China 3 538 0.8× 159 0.9× 55 0.4× 81 0.7× 86 1.0× 6 1.0k
Wei Ye China 13 756 1.1× 237 1.3× 68 0.5× 155 1.4× 87 1.0× 41 1.4k
Kiran Khatter India 8 445 0.6× 140 0.8× 60 0.5× 66 0.6× 103 1.2× 23 923
Dave Braines United Kingdom 14 503 0.7× 117 0.7× 67 0.5× 72 0.6× 39 0.4× 75 899

Countries citing papers authored by Linyi Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Linyi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Linyi Yang. A scholar is included among the top collaborators of Linyi Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linyi Yang. Linyi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Cunxiang, Xiaoze Liu, Qipeng Guo, et al.. (2025). Survey on Factuality in Large Language Models. ACM Computing Surveys. 58(1). 1–37. 2 indexed citations
2.
Yang, Linyi, et al.. (2024). Biomarkers and Alzheimer’s disease: a bibliometric analysis. Frontiers in Aging Neuroscience. 16. 1456824–1456824.
3.
Wang, Mengru, Ningyu Zhang, Ziwen Xu, et al.. (2024). Detoxifying Large Language Models via Knowledge Editing. 3093–3118. 6 indexed citations
4.
5.
Li, Yafu, Leyang Cui, Longyue Wang, et al.. (2024). MAGE: Machine-generated Text Detection in the Wild. 36–53. 11 indexed citations
6.
Chen, Zhenying, Hao Chen, Jindong Wang, et al.. (2024). XRDMatch: a semi-supervised learning framework to efficiently discover room temperature lithium superionic conductors. Energy & Environmental Science. 17(24). 9487–9498. 3 indexed citations
7.
Wang, Xu, Jindong Wang, Yuan Wu, et al.. (2024). A Survey on Evaluation of Large Language Models. ACM Transactions on Intelligent Systems and Technology. 15(3). 1–45. 1022 indexed citations breakdown →
8.
Li, Cheng, et al.. (2024). CulturePark: Boosting Cross-cultural Understanding in Large Language Models. 65183–65216. 1 indexed citations
9.
Lyu, Chenyang, Linyi Yang, Yue Zhang, Yvette Graham, & Jennifer Foster. (2023). Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. Dublin City University Open Access Institutional Repository (Dublin City University). 1419–1429. 2 indexed citations
10.
Yang, Linyi, Libo Qin, Yafu Li, et al.. (2023). GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. 12731–12750. 13 indexed citations
11.
Yang, Linyi, et al.. (2023). Measuring Consistency in Text-based Financial Forecasting Models. 13751–13765. 1 indexed citations
12.
Niu, Yingjie, Linyi Yang, Ruihai Dong, & Yue Zhang. (2023). Learning to Generalize for Cross-domain QA. 1298–1313. 1 indexed citations
13.
14.
Zheng, Sunyi, Shichuan Zhang, Linyi Yang, et al.. (2023). Masked Conditional Variational Autoencoders for Chromosome Straightening. IEEE Transactions on Medical Imaging. 43(1). 216–228. 4 indexed citations
15.
Yang, Linyi, Chenyang Lyu, Yidong Wang, et al.. (2023). Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. 4533–4559. 3 indexed citations
16.
Yang, Linyi, et al.. (2022). A Rationale-Centric Framework for Human-in-the-loop Machine Learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6986–6996. 17 indexed citations
17.
Yang, Linyi, Jiazheng Li, Ruihai Dong, Yue Zhang, & Barry Smyth. (2022). NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 11604–11612. 21 indexed citations
18.
Yang, Linyi, et al.. (2021). Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. 306–316. 25 indexed citations
19.
Yang, Linyi, et al.. (2020). Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6150–6160. 35 indexed citations
20.
Yang, Linyi, et al.. (2020). MAEC. Research Repository UCD (University College Dublin). 3063–3070. 16 indexed citations

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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