Yue Zhang

13.1k total citations · 3 hit papers
220 papers, 6.7k citations indexed

About

Yue Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yue Zhang has authored 220 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Artificial Intelligence, 41 papers in Computer Vision and Pattern Recognition and 11 papers in Molecular Biology. Recurrent topics in Yue Zhang's work include Topic Modeling (185 papers), Natural Language Processing Techniques (159 papers) and Advanced Text Analysis Techniques (40 papers). Yue Zhang is often cited by papers focused on Topic Modeling (185 papers), Natural Language Processing Techniques (159 papers) and Advanced Text Analysis Techniques (40 papers). Yue Zhang collaborates with scholars based in China, Singapore and United States. Yue Zhang's co-authors include Stephen Clark, Meishan Zhang, Linfeng Song, Leyang Cui, Joakim Nivre, Zhiyang Teng, Cunxiang Wang, Donghong Ji, Daniel Gildea and Linyi Yang and has published in prestigious journals such as Bioinformatics, ACM Computing Surveys and Artificial Intelligence.

In The Last Decade

Yue Zhang

205 papers receiving 6.4k 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.

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 →
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
Yue Zhang China	43	5.7k	938	721	408	381	220	6.7k
Xipeng Qiu China	37	5.1k 0.9×	1.1k 1.2×	803 1.1×	258 0.6×	251 0.7×	194	6.1k
Minlie Huang China	43	6.3k 1.1×	891 0.9×	1.1k 1.5×	335 0.8×	545 1.4×	205	7.3k
Xuanjing Huang China	41	5.6k 1.0×	1.3k 1.3×	1.1k 1.5×	435 1.1×	312 0.8×	233	6.7k
Xiang Ren United States	35	4.1k 0.7×	826 0.9×	767 1.1×	384 0.9×	528 1.4×	177	5.0k
Yankai Lin China	29	5.3k 0.9×	808 0.9×	1.1k 1.6×	735 1.8×	421 1.1×	80	6.1k
Bowen Zhou United States	32	4.6k 0.8×	915 1.0×	662 0.9×	243 0.6×	240 0.6×	157	5.3k
Hua Wu China	38	4.6k 0.8×	1.4k 1.5×	481 0.7×	162 0.4×	405 1.1×	156	5.7k
Wen-tau Yih United States	42	6.8k 1.2×	1.2k 1.3×	1.4k 1.9×	411 1.0×	470 1.2×	91	7.6k
Graham Neubig United States	41	6.6k 1.2×	1.8k 1.9×	1.2k 1.6×	272 0.7×	226 0.6×	280	8.1k
Édouard Grave Israel	16	5.2k 0.9×	1.1k 1.2×	1.0k 1.4×	272 0.7×	485 1.3×	25	6.7k

Countries citing papers authored by Yue Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Yue Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Zhang. A scholar is included among the top collaborators of Yue Zhang 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 Yue Zhang. Yue Zhang 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.

Zhuang, Honglei, Yun Luo, Yafu Li, et al.. (2025). MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. 944–953. 1 indexed citations

2.

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 →

3.

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 →

4.

Li, Yafu, Huajian Zhang, Jianhao Yan, Yongjing Yin, & Yue Zhang. (2024). What Have We Achieved on Non-autoregressive Translation?. 7585–7606.

5.

Li, Jianling, et al.. (2023). LLM-enhanced Self-training for Cross-domain Constituency Parsing. 8174–8185. 1 indexed citations

6.

Teng, Zhiyang, et al.. (2023). Target-Side Augmentation for Document-Level Machine Translation. 10725–10742. 4 indexed citations

7.

Di, Donglin, et al.. (2022). Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(4). 1–20.

8.

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

9.

Song, Linfeng, et al.. (2021). End-to-End AMR Corefencence Resolution. 4204–4214. 6 indexed citations

10.

Xing, Frank, Lorenzo Malandri, Yue Zhang, & Erik Cambria. (2020). Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets. National University of Singapore. 978–987. 42 indexed citations

11.

Zhang, Yue, Yile Wang, & Jie Yang. (2020). Lattice LSTM for Chinese Sentence Representation. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1506–1519. 15 indexed citations

12.

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

13.

Chen, Jia, Xiaobo Liang, & Yue Zhang. (2019). Cross-Domain NER using Cross-Domain Language Modeling. 2464–2474. 87 indexed citations

14.

Song, Linfeng, Yue Zhang, Zhiguo Wang, & Daniel Gildea. (2018). A Graph-to-Sequence Model for AMR-to-Text Generation. 1616–1626. 112 indexed citations

15.

Zhang, Yue, et al.. (2017). Dependency Parsing with Partial Annotations: An Empirical Comparison. International Joint Conference on Natural Language Processing. 1. 49–58. 4 indexed citations

16.

Lu, Yanan, Yue Zhang, & Donghong Ji. (2016). Multi-prototype Chinese Character Embedding. Language Resources and Evaluation. 855–859. 20 indexed citations

17.

Zhang, Yue. (2013). Partial-tree linearization: generalized word ordering for text synthesis. International Joint Conference on Artificial Intelligence. 2232–2238. 16 indexed citations

18.

Liu, Yang & Yue Zhang. (2012). Unsupervised Domain Adaptation for Joint Segmentation and POS-Tagging. International Conference on Computational Linguistics. 745–754. 26 indexed citations

19.

Zhang, Yue & Stephen Clark. (2011). Syntax-Based Grammaticality Improvement using CCG and Guided Search. Empirical Methods in Natural Language Processing. 1147–1157. 19 indexed citations

20.

Zhang, Yue & Stephen Clark. (2008). Joint Word Segmentation and POS Tagging Using a Single Perceptron. Meeting of the Association for Computational Linguistics. 888–896. 91 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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