Xianneng Li

1.1k total citations
57 papers, 883 citations indexed

About

Xianneng Li is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Xianneng Li has authored 57 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Molecular Biology. Recurrent topics in Xianneng Li's work include Evolutionary Algorithms and Applications (27 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Reinforcement Learning in Robotics (13 papers). Xianneng Li is often cited by papers focused on Evolutionary Algorithms and Applications (27 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Reinforcement Learning in Robotics (13 papers). Xianneng Li collaborates with scholars based in China, Japan and United States. Xianneng Li's co-authors include Guangfei Yang, Kotaro Hirasawa, Jianliang Wang, Shingo Mabu, Tao Sun, Yuhong Liu, Wenli Li, Jian Huang, Kaoru Shimada and Huiyu Zhou and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Chemosphere.

In The Last Decade

Xianneng Li

52 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianneng Li China 16 272 224 219 211 97 57 883
Guangfei Yang China 17 227 0.8× 285 1.3× 348 1.6× 273 1.3× 119 1.2× 55 1.0k
Guang Shi China 17 110 0.4× 171 0.8× 113 0.5× 268 1.3× 323 3.3× 44 1.0k
Xuchu Jiang China 17 98 0.4× 49 0.2× 122 0.6× 68 0.3× 27 0.3× 54 657
Amit Agarwal India 17 63 0.2× 60 0.3× 190 0.9× 377 1.8× 126 1.3× 63 1.1k
Qingli Dong China 12 132 0.5× 238 1.1× 137 0.6× 75 0.4× 38 0.4× 15 717
Cunbin Li China 13 137 0.5× 218 1.0× 218 1.0× 81 0.4× 5 0.1× 38 863
Yanyan Yang China 13 60 0.2× 25 0.1× 143 0.7× 308 1.5× 259 2.7× 49 837
Yunjun Yu China 15 267 1.0× 32 0.1× 60 0.3× 28 0.1× 14 0.1× 48 787
Bangjun Wang China 19 168 0.6× 129 0.6× 58 0.3× 26 0.1× 5 0.1× 65 952

Countries citing papers authored by Xianneng Li

Since Specialization
Citations

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

Fields of papers citing papers by Xianneng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianneng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xianneng Li. A scholar is included among the top collaborators of Xianneng 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 Xianneng Li. Xianneng 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.
Li, Xianneng, Zhaocheng Du, Huifeng Guo, et al.. (2025). LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. 3889–3900.
2.
Li, Xianneng, et al.. (2025). Joint clustering and feature extraction with adaptive outlier penalty. Neurocomputing. 653. 131224–131224.
3.
Zheng, Shuang, Siliang Tong, Hyeokkoo Eric Kwon, Gordon Burtch, & Xianneng Li. (2025). Frontiers: Recommending What to Search: Sales Volume and Consumption Diversity Effects of a Query Recommender System. Marketing Science. 44(3). 516–524.
4.
Li, Xianneng, et al.. (2025). MUSE-Rec: Explainable multi-behavioral social e-commerce recommendation with integrated link prediction. Information Processing & Management. 63(2). 104355–104355. 1 indexed citations
5.
Chen, Xuefeng, et al.. (2024). House Layout Generation via Diffusion Model with Relative Room Area Ranking. 1–8. 1 indexed citations
6.
Zheng, Shuang, Siliang Tong, Hyeokkoo Eric Kwon, Gordon Burtch, & Xianneng Li. (2023). Recommending What to Search: Sales Volume and Consumption Diversity Effects of a Query Recommender System. SSRN Electronic Journal. 1 indexed citations
7.
Yang, Guangfei, et al.. (2020). Mining sequential patterns of PM2.5 pollution between 338 cities in China. Journal of Environmental Management. 262. 110341–110341. 42 indexed citations
8.
Yang, Guangfei, Yuhong Liu, & Xianneng Li. (2020). Spatiotemporal distribution of ground-level ozone in China at a city level. Scientific Reports. 10(1). 7229–7229. 95 indexed citations
9.
Li, Wenli, Guangfei Yang, & Xianneng Li. (2019). Modeling the evolutionary nexus between carbon dioxide emissions and economic growth. Journal of Cleaner Production. 215. 1191–1202. 13 indexed citations
10.
Li, Xianneng, et al.. (2018). Revisiting Genetic Network Programming (GNP): Towards the Simplified Genetic Operators. IEEE Access. 6. 43274–43289. 4 indexed citations
11.
Li, Xianneng, et al.. (2016). Correlation of PDK1 expression with clinicopathologic features and prognosis of hepatocellular carcinoma. OncoTargets and Therapy. Volume 9. 5597–5602. 27 indexed citations
12.
Wang, Junrong, et al.. (2016). Detection of Serotype Distribution and Drug Resistance ofStreptococcus PneumoniaeIsolated From Pediatric Patients. Laboratory Medicine. 48(1). 39–45. 11 indexed citations
13.
Li, Xianneng, He Wen, & Kotaro Hirasawa. (2014). Learning and evolution of genetic network programming with knowledge transfer. 36. 798–805. 2 indexed citations
14.
Li, Xianneng, Guangfei Yang, & Kotaro Hirasawa. (2014). Evolving directed graphs with artificial bee colony algorithm. 89–94. 7 indexed citations
15.
Li, Bing, Xianneng Li, Shingo Mabu, & Kotaro Hirasawa. (2013). Evolving graph‐based chromosome by means of variable size genetic network programming with binomial distribution. IEEJ Transactions on Electrical and Electronic Engineering. 8(4). 348–356. 2 indexed citations
16.
17.
Li, Xianneng, Bing Li, Shingo Mabu, & Kotaro Hirasawa. (2011). A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning. 10. 37–44. 12 indexed citations
18.
Li, Xianneng, Shingo Mabu, Huiyu Zhou, Kaoru Shimada, & Kotaro Hirasawa. (2010). Analysis of various interestingness measures in classification rule mining for traffic prediction. Society of Instrument and Control Engineers of Japan. 1969–1974. 1 indexed citations
19.
Li, Xianneng, Shingo Mabu, Huiyu Zhou, Kaoru Shimada, & Kotaro Hirasawa. (2010). Genetic Network Programming with Estimation of Distribution Algorithms for Class Association Rule Mining in Traffic Prediction. Journal of Advanced Computational Intelligence and Intelligent Informatics. 14(5). 497–509. 2 indexed citations
20.
Li, Xianneng, Shingo Mabu, Huiyu Zhou, Kaoru Shimada, & Kotaro Hirasawa. (2009). Genetic Network Programming with Estimation of Distribution Algorithms and its application to association rule mining for traffic prediction. 2009 ICCAS-SICE. 3457–3462. 13 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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