Xiaoyan Zhu

6.0k total citations · 2 hit papers
141 papers, 4.0k citations indexed

About

Xiaoyan Zhu is a scholar working on Artificial Intelligence, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty. According to data from OpenAlex, Xiaoyan Zhu has authored 141 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 47 papers in Safety, Risk, Reliability and Quality and 24 papers in Statistics, Probability and Uncertainty. Recurrent topics in Xiaoyan Zhu's work include Reliability and Maintenance Optimization (45 papers), Topic Modeling (23 papers) and Natural Language Processing Techniques (16 papers). Xiaoyan Zhu is often cited by papers focused on Reliability and Maintenance Optimization (45 papers), Topic Modeling (23 papers) and Natural Language Processing Techniques (16 papers). Xiaoyan Zhu collaborates with scholars based in China, United States and Hong Kong. Xiaoyan Zhu's co-authors include Way Kuo, Jing Feng, Zhuang Li, Wilbert E. Wilhelm, Minlie Huang, Minlie Huang, Bing Liu, Hao Zhou, Tianyang Zhang and Xueping Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and European Journal of Operational Research.

In The Last Decade

Xiaoyan Zhu

133 papers receiving 3.8k citations

Hit Papers

Movie review mining and summarization 2006 2026 2012 2019 2006 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Zhu China 31 1.6k 1.1k 650 450 430 141 4.0k
Pranab K. Muhuri India 24 735 0.5× 165 0.1× 143 0.2× 391 0.9× 96 0.2× 114 2.3k
Abhijit Gosavi United States 19 474 0.3× 134 0.1× 100 0.2× 416 0.9× 58 0.1× 79 1.9k
Chunhua Zhang China 19 370 0.2× 227 0.2× 132 0.2× 1.7k 3.7× 28 0.1× 80 3.2k
Chao‐Ton Su Taiwan 31 579 0.4× 83 0.1× 195 0.3× 1.2k 2.6× 19 0.0× 132 3.4k
Samarjit Kar India 32 613 0.4× 67 0.1× 81 0.1× 155 0.3× 34 0.1× 154 3.1k
Kenneth R. Baker United States 42 591 0.4× 86 0.1× 97 0.1× 6.7k 14.8× 261 0.6× 153 8.7k
K. D. Glazebrook United Kingdom 28 351 0.2× 100 0.1× 81 0.1× 742 1.6× 36 0.1× 173 3.0k
Arthur F. Veinott United States 28 352 0.2× 120 0.1× 204 0.3× 1.3k 2.9× 69 0.2× 48 5.4k
Brian Randell United Kingdom 29 2.2k 1.3× 618 0.6× 190 0.3× 105 0.2× 1.8k 4.2× 171 7.8k
Azad M. Madni United States 24 220 0.1× 625 0.6× 224 0.3× 677 1.5× 103 0.2× 134 2.8k

Countries citing papers authored by Xiaoyan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Zhu. A scholar is included among the top collaborators of Xiaoyan Zhu 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 Xiaoyan Zhu. Xiaoyan Zhu 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.
Zhu, Xiaoyan, et al.. (2025). Stochastic programming on joint optimization of redundancy design and condition-based maintenance for continuously degrading systems subject to uncertain usage stresses. Reliability Engineering & System Safety. 260. 111023–111023. 2 indexed citations
2.
Lai, Xin, Jiayin Wang, Liu Liu, et al.. (2024). Classifier chain-based monitoring method for multivariate surgical outcomes. Computers & Industrial Engineering. 194. 110378–110378.
3.
Aven, Terje, David Rı́os Insua, Refik Soyer, Xiaoyan Zhu, & Enrico Zio. (2024). Fifty years of reliability in operations research. European Journal of Operational Research. 324(2). 361–381. 2 indexed citations
4.
Niu, Jun, Peng Liu, Chunhui Huang, et al.. (2024). Dual defense: Combining preemptive exclusion of members and knowledge distillation to mitigate membership inference attacks. SHILAP Revista de lepidopterología. 3(1). 68–90. 1 indexed citations
5.
Zhou, Hao, Minlie Huang, Yong Liu, Wei Chen, & Xiaoyan Zhu. (2021). EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8 indexed citations
6.
Wang, Longfei, Yong Zeng, Yixin Li, et al.. (2019). Research on Resolution Limit of Community Detection in Location-Based Social Networks. 90–95. 3 indexed citations
7.
Ke, Pei, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, & Minlie Huang. (2019). SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis.. arXiv (Cornell University). 17 indexed citations
8.
Zhou, Hao, et al.. (2019). Domain-Constrained Advertising Keyword Generation. 2448–2459. 11 indexed citations
9.
Qiao, Qian, Minlie Huang, Jinhao Lei, & Xiaoyan Zhu. (2017). Linguistically Regularized LSTM for Sentiment Classification. 1679–1689. 112 indexed citations
10.
Wang, Ting, et al.. (2016). Integrated feature preprocessing for classification based on neural incremental attribute learning. International Conference on Information Fusion. 386–393. 1 indexed citations
11.
Li, Hang, et al.. (2013). An introduction to string re-writing kernel. International Joint Conference on Artificial Intelligence. 49(4). 2982–2986. 3 indexed citations
12.
Li, Hang, et al.. (2012). String Re-writing Kernel. Meeting of the Association for Computational Linguistics. 1. 449–458. 4 indexed citations
13.
Huang, Minlie, Yi Yang, & Xiaoyan Zhu. (2011). Quality-biased Ranking of Short Texts in Microblogging Services. International Joint Conference on Natural Language Processing. 373–382. 15 indexed citations
14.
Yuan, Tao & Xiaoyan Zhu. (2011). Reliability study of ultra-thin dielectric films with variable thickness levels. IIE Transactions. 44(9). 744–753. 6 indexed citations
15.
Huang, Minlie, et al.. (2010). The THU Summarization Systems at TAC 2010. Theory and applications of categories. 7 indexed citations
16.
Li, Fangtao, Zhicheng Zheng, Fan Bu, et al.. (2009). THU QUANTA at TAC 2009 KBP and RTE Track. Theory and applications of categories. 20 indexed citations
17.
Huang, Minlie, et al.. (2009). Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance. Theory and applications of categories. 4 indexed citations
18.
Zhu, Xiaoyan. (2008). The Problems of Principal-Agent and Incentive-Monitoring of Supply Chain Enterprises. Commercial Research. 1 indexed citations
19.
Chen, Shouyuan, et al.. (2008). Tsinghua University at the summarization track of TAC 2008. Theory and applications of categories. 5 indexed citations
20.
Li, Jiao, et al.. (2004). THUIR at TREC 2004: Genomics Track *. Text REtrieval Conference. 1 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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