Xiang Yue

1.9k total citations
40 papers, 1.2k citations indexed

About

Xiang Yue is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Xiang Yue has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Molecular Biology and 8 papers in Computational Theory and Mathematics. Recurrent topics in Xiang Yue's work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Computational Drug Discovery Methods (8 papers). Xiang Yue is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Computational Drug Discovery Methods (8 papers). Xiang Yue collaborates with scholars based in China, United States and Hong Kong. Xiang Yue's co-authors include Wen Zhang, Huan Sun, Yanlin Chen, Feng Huang, Ruoqi Liu, Wenjian Wu, Xining Zhang, Feng Liu, Simon Lin and Dingfang Li and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Xiang Yue

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Yue China 15 772 514 332 144 66 40 1.2k
Chee-Keong Kwoh Singapore 17 1.2k 1.6× 744 1.4× 224 0.7× 120 0.8× 118 1.8× 37 1.6k
Xiaorui Su China 18 769 1.0× 549 1.1× 156 0.5× 144 1.0× 113 1.7× 43 1.0k
Kexin Huang United States 18 1.1k 1.5× 960 1.9× 397 1.2× 54 0.4× 380 5.8× 43 1.8k
Monica Agrawal India 6 447 0.6× 381 0.7× 386 1.2× 20 0.1× 94 1.4× 22 970
Changiz Eslahchi Iran 16 586 0.8× 369 0.7× 102 0.3× 43 0.3× 111 1.7× 81 910
Jingbo Xia China 14 455 0.6× 258 0.5× 395 1.2× 20 0.1× 65 1.0× 79 1.1k
Tianyi Zang China 14 610 0.8× 255 0.5× 120 0.4× 104 0.7× 66 1.0× 65 916
Gang Tian China 9 240 0.3× 204 0.4× 152 0.5× 23 0.2× 52 0.8× 17 533
Xiangzheng Fu China 21 1.1k 1.4× 325 0.6× 124 0.4× 323 2.2× 98 1.5× 84 1.3k

Countries citing papers authored by Xiang Yue

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Yue. A scholar is included among the top collaborators of Xiang Yue 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 Xiang Yue. Xiang Yue 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.
2.
Dai, Penglin, et al.. (2025). Multi-Agent Reinforcement Learning for Freshness-Aware Data Sensing Model in Vehicular Crowdsensing Systems. IEEE Transactions on Services Computing. 18(4). 2212–2225.
3.
Yue, Xiang, Yizhong Wang, Kiril Gashteovski, et al.. (2025). Evaluating Language Models as Synthetic Data Generators. 6385–6403.
4.
Du, Minxin, et al.. (2024). Machine Unlearning of Pre-trained Large Language Models. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 8403–8419. 6 indexed citations
5.
Song, Yifan, et al.. (2024). Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents. 7584–7600. 5 indexed citations
6.
7.
Zhang, Ge, Tianhao Shen, Bill Lin, et al.. (2024). OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. 12834–12859. 17 indexed citations
8.
Yue, Xiang, et al.. (2024). TableLlama: Towards Open Large Generalist Models for Tables. 6024–6044. 8 indexed citations
9.
Wang, Boshi, Xiang Yue, & Huan Sun. (2023). Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate. 11865–11881. 12 indexed citations
10.
Du, Minxin, Xiang Yue, Sherman S. M. Chow, & Huan Sun. (2023). Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy. 2349–2359. 8 indexed citations
11.
Du, Minxin, Xiang Yue, Sherman S. M. Chow, et al.. (2023). DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. arXiv (Cornell University). 2665–2679. 17 indexed citations
12.
Yue, Xiang, et al.. (2023). Automatic Evaluation of Attribution by Large Language Models. 4615–4635. 12 indexed citations
13.
Yue, Xiang, Huseyin A. Inan, Xuechen Li, et al.. (2023). Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. 1321–1342. 15 indexed citations
14.
Yue, Xiang, Xiaoman Pan, Wenlin Yao, et al.. (2022). C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. 371–377. 2 indexed citations
15.
Wu, Guangsheng, Juan Liu, & Xiang Yue. (2019). Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. BMC Bioinformatics. 20(S3). 25 indexed citations
16.
Zhang, Wen, et al.. (2018). SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions. PLoS Computational Biology. 14(12). e1006616–e1006616. 130 indexed citations
17.
Zhang, Wen, Yanlin Chen, Dingfang Li, & Xiang Yue. (2018). Manifold regularized matrix factorization for drug-drug interaction prediction. Journal of Biomedical Informatics. 88. 90–97. 97 indexed citations
18.
Shi, Jingwen, et al.. (2018). Sequence-based bacterial small RNAs prediction using ensemble learning strategies. BMC Bioinformatics. 19(S20). 503–503. 17 indexed citations
19.
Zhang, Wen, Xiang Yue, Feng Liu, et al.. (2017). A unified frame of predicting side effects of drugs by using linear neighborhood similarity. BMC Systems Biology. 11(S6). 101–101. 54 indexed citations
20.
Jiang, Fang, et al.. (2015). Semantic-based Keyword Extraction Method for Document. International Journal of u- and e- Service Science and Technology. 8(5). 37–46. 2 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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