Xiangtao Li

3.7k total citations
116 papers, 2.9k citations indexed

About

Xiangtao Li is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Xiangtao Li has authored 116 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 46 papers in Molecular Biology and 23 papers in Computational Theory and Mathematics. Recurrent topics in Xiangtao Li's work include Metaheuristic Optimization Algorithms Research (34 papers), Gene expression and cancer classification (27 papers) and Evolutionary Algorithms and Applications (16 papers). Xiangtao Li is often cited by papers focused on Metaheuristic Optimization Algorithms Research (34 papers), Gene expression and cancer classification (27 papers) and Evolutionary Algorithms and Applications (16 papers). Xiangtao Li collaborates with scholars based in China, Hong Kong and United States. Xiangtao Li's co-authors include Minghao Yin, Ka‐Chun Wong, Jie Zhang, Shijing Ma, Yunhe Wang, Shixiong Zhang, Jianan Wang, Yanmei Hu, Qiuzhen Lin and Jiecong Lin and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Xiangtao Li

113 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangtao Li China 30 1.5k 700 530 451 364 116 2.9k
Mai S. Mabrouk Egypt 18 1.7k 1.2× 710 1.0× 383 0.7× 162 0.4× 555 1.5× 103 3.6k
Martin Pelikán United States 31 2.8k 1.9× 1.2k 1.7× 763 1.4× 304 0.7× 186 0.5× 86 4.4k
Marc Schoenauer France 27 2.4k 1.6× 1.6k 2.2× 270 0.5× 417 0.9× 462 1.3× 139 4.3k
Günter Rudolph Germany 25 1.8k 1.2× 1.2k 1.8× 198 0.4× 244 0.5× 211 0.6× 125 3.2k
Ahamad Tajudin Khader Malaysia 25 1.7k 1.2× 544 0.8× 160 0.3× 234 0.5× 345 0.9× 66 3.0k
Xiaoyan Sun China 30 1.5k 1.0× 751 1.1× 120 0.2× 257 0.6× 442 1.2× 130 3.1k
Heitor Silvério Lopes Brazil 21 1.6k 1.1× 361 0.5× 348 0.7× 154 0.3× 183 0.5× 148 2.5k
Zexuan Zhu China 40 2.9k 2.0× 1.8k 2.6× 1.2k 2.3× 336 0.7× 344 0.9× 165 5.7k
E. Emary Egypt 25 2.0k 1.4× 566 0.8× 197 0.4× 128 0.3× 349 1.0× 50 3.2k
Xiaohu Shi China 16 885 0.6× 327 0.5× 132 0.2× 304 0.7× 234 0.6× 64 1.7k

Countries citing papers authored by Xiangtao Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiangtao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangtao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangtao Li. A scholar is included among the top collaborators of Xiangtao Li 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 Xiangtao Li. Xiangtao Li 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, Peter, et al.. (2025). Precision oncology informatics for anticancer drug combination responses: A systematic review. Computers in Biology and Medicine. 196(Pt C). 110788–110788.
2.
Lu, Min, et al.. (2025). Enhanced particle swarm optimization based on network structure for feature selection. Complex & Intelligent Systems. 11(12).
3.
Liu, Zhe, et al.. (2024). TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation. Briefings in Bioinformatics. 25(4). 6 indexed citations
4.
Hu, Yanmei, et al.. (2024). A graph convolutional network model based on regular equivalence for identifying influential nodes in complex networks. Knowledge-Based Systems. 301. 112235–112235. 4 indexed citations
5.
Wang, Yunhe, et al.. (2024). Evolving pathway activation from cancer gene expression data using nature-inspired ensemble optimization. Expert Systems with Applications. 248. 123469–123469. 1 indexed citations
6.
Saeed, Faisal, Zhe Liu, Shadi Basurra, et al.. (2023). Machine learning in metastatic cancer research: Potentials, possibilities, and prospects. Computational and Structural Biotechnology Journal. 21. 2454–2470. 10 indexed citations
7.
Wang, Yunhe, Zhiqiang Ma, Ka‐Chun Wong, & Xiangtao Li. (2020). Evolving Multiobjective Cancer Subtype Diagnosis From Cancer Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2431–2444. 6 indexed citations
8.
Wang, Yunhe, Zhiqiang Ma, Ka‐Chun Wong, & Xiangtao Li. (2020). Nature-inspired multiobjective patient stratification from cancer gene expression data. Information Sciences. 526. 245–262. 9 indexed citations
9.
Li, Xiangtao, Shixiong Zhang, & Ka‐Chun Wong. (2020). Multiobjective Genome-Wide RNA-Binding Event Identification From CLIP-Seq Data. IEEE Transactions on Cybernetics. 51(12). 5811–5824. 9 indexed citations
10.
Wong, Ka‐Chun, Junyi Chen, Jiao Zhang, et al.. (2019). Early Cancer Detection from Multianalyte Blood Test Results. iScience. 15. 332–341. 22 indexed citations
11.
Wang, Yunhe, Bo Liu, Zhiqiang Ma, Ka‐Chun Wong, & Xiangtao Li. (2019). Nature-Inspired Multiobjective Cancer Subtype Diagnosis. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–12. 10 indexed citations
12.
Li, Xiangtao & Ka‐Chun Wong. (2019). Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(5). 1773–1784. 6 indexed citations
13.
Wong, Ka‐Chun, Jiao Zhang, Shankai Yan, et al.. (2019). DNA Sequencing Technologies. ACM Computing Surveys. 52(5). 1–30. 22 indexed citations
14.
Wong, Ka‐Chun, Shankai Yan, Qiuzhen Lin, Xiangtao Li, & Chengbin Peng. (2018). Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(1). 327–333. 4 indexed citations
15.
Li, Xiangtao & Ka‐Chun Wong. (2017). Multiobjective Patient Stratification Using Evolutionary Multiobjective Optimization. IEEE Journal of Biomedical and Health Informatics. 22(5). 1619–1629. 9 indexed citations
16.
Li, Xiangtao & Ka‐Chun Wong. (2017). Elucidating Genome-Wide Protein-RNA Interactions Using Differential Evolution. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(1). 272–282. 9 indexed citations
17.
Li, Xiangtao, et al.. (2011). Hybrid differential evolution and gravitation search algorithm for unconstrained optimization. International Journal of the Physical Sciences. 6(25). 5961–5981. 29 indexed citations
18.
Yin, Minghao, et al.. (2011). An efficient job shop scheduling algorithm based on artificial bee colony. Scientific Research and Essays. 6(12). 2578–2596. 13 indexed citations
19.
Li, Xiangtao. (2010). Alkali Reactivity of Metamorphic Rock Aggregate and Its Prevention Measures in the Southeast Area of Guizhou Province. Journal of Building Materials. 1 indexed citations
20.
Li, Xiangtao. (2009). Phase-Locked Loops Design by ADS and Matlab. Communications technology.

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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