Leyang Cui

1.7k total citations · 2 hit papers
37 papers, 658 citations indexed

About

Leyang Cui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Psychiatry and Mental health. According to data from OpenAlex, Leyang Cui has authored 37 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Psychiatry and Mental health. Recurrent topics in Leyang Cui's work include Topic Modeling (29 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (9 papers). Leyang Cui is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (9 papers). Leyang Cui collaborates with scholars based in China, Germany and Australia. Leyang Cui's co-authors include Yue Zhang, Yu Wu, Liu Jian, Sen Yang, Dandan Huang, Xuhui Zhou, Yile Wang, Shujie Liu, Ming Zhou and Jian Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computational Linguistics and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Leyang Cui

33 papers receiving 625 citations

Hit Papers

align trajectories

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.

Template-Based Named Entity Recognition Using BART

2021 191 citations Leyang Cui, Yu Wu et al. profile →
🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models

2025 27 citations Yue Zhang, Yafu Li et al. Computational Linguistics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leyang Cui China	11	588	110	57	30	29	37	658
Jungo Kasai United States	13	415 0.7×	139 1.3×	55 1.0×	27 0.9×	18 0.6×	39	538
Shuohuan Wang China	7	527 0.9×	131 1.2×	75 1.3×	22 0.7×	21 0.7×	15	605
Xueguang Ma Canada	10	334 0.6×	99 0.9×	99 1.7×	17 0.6×	32 1.1×	32	427
Anastasia Shimorina France	6	396 0.7×	67 0.6×	50 0.9×	26 0.9×	27 0.9×	11	478
Liangming Pan Singapore	10	353 0.6×	108 1.0×	69 1.2×	18 0.6×	57 2.0×	26	427
Timo Schick Germany	9	412 0.7×	95 0.9×	50 0.9×	9 0.3×	15 0.5×	13	466
Panupong Pasupat United States	16	545 0.9×	144 1.3×	79 1.4×	26 0.9×	25 0.9×	21	602
Kelvin Guu United States	8	422 0.7×	153 1.4×	56 1.0×	17 0.6×	14 0.5×	9	481
Diego Marcheggiani Italy	8	601 1.0×	106 1.0×	75 1.3×	78 2.6×	33 1.1×	14	671
Minjoon Seo South Korea	10	468 0.8×	288 2.6×	69 1.2×	18 0.6×	11 0.4×	32	588

Countries citing papers authored by Leyang Cui

Since Specialization

Citations

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

Fields of papers citing papers by Leyang Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leyang Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Leyang Cui. A scholar is included among the top collaborators of Leyang Cui 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 Leyang Cui. Leyang Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Yue, Yafu Li, Leyang Cui, et al.. (2025). 🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models. Computational Linguistics. 51(4). 1373–1418. 27 indexed citations breakdown →

2.

Zhang, Yue, et al.. (2025). Alleviating Hallucinations of Large Language Models through Induced Hallucinations. 8218–8232. 2 indexed citations

3.

Li, Xin, et al.. (2025). Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs. 5732–5744.

4.

Cui, Leyang, et al.. (2024). Knowledge Verification to Nip Hallucination in the Bud. 2616–2633. 2 indexed citations

5.

Cui, Leyang, et al.. (2024). GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers. 2961–2984. 2 indexed citations

6.

Li, Yafu, et al.. (2024). Spotting AI’s Touch: Identifying LLM-Paraphrased Spans in Text. 7088–7107. 1 indexed citations

7.

Cui, Leyang, et al.. (2024). Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal. 1416–1428. 7 indexed citations

8.

Li, Yafu, Leyang Cui, Longyue Wang, et al.. (2024). MAGE: Machine-generated Text Detection in the Wild. 36–53. 11 indexed citations

9.

Liu, Hanmeng, Zhiyang Teng, Leyang Cui, et al.. (2023). LogiCoT: Logical Chain-of-Thought Instruction Tuning. 2908–2921. 4 indexed citations

10.

Shi, Shuming, Wei Bi, Deng Cai, et al.. (2023). Effidit: An Assistant for Improving Writing Efficiency. 508–515. 1 indexed citations

11.

Jian, Liu, Leyang Cui, Zhiyang Teng, et al.. (2023). LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language Understanding. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2947–2962. 8 indexed citations

12.

Haslum, Patrik, et al.. (2023). EDeR: Towards Understanding Dependency Relations Between Events. 14969–14983. 1 indexed citations

13.

Li, Yafu, Leyang Cui, Jianhao Yan, et al.. (2023). Explicit Syntactic Guidance for Neural Text Generation. 14095–14112. 2 indexed citations

14.

Cui, Leyang, et al.. (2023). Enhancing Grammatical Error Correction Systems with Explanations. 7489–7501. 4 indexed citations

15.

Cui, Leyang, Yafu Li, & Yue Zhang. (2022). Label Attention Network for Structured Prediction. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 1235–1248. 5 indexed citations

16.

Li, Yafu, Leyang Cui, Yongjing Yin, & Yue Zhang. (2022). Multi-Granularity Optimization for Non-Autoregressive Translation. 5073–5084. 4 indexed citations

17.

Bai, Xuefeng, et al.. (2022). Cross-domain Generalization for AMR Parsing. 10907–10921. 1 indexed citations

18.

Cui, Leyang, Yu Wu, Shujie Liu, & Yue Zhang. (2021). Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2328–2337. 7 indexed citations

19.

Huang, Dandan, Leyang Cui, Sen Yang, et al.. (2020). What Have We Achieved on Text Summarization?. 446–469. 49 indexed citations

20.

Wang, Yile, Leyang Cui, & Yue Zhang. (2020). Does Chinese BERT Encode Word Structure?. 2826–2836. 4 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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