Xianneng Li

91 total papers · 1.1k total citations
56 papers, 874 citations indexed

About

Xianneng Li is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Xianneng Li has authored 56 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 8 papers in Molecular Biology and 8 papers in Information Systems. 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, Huiyu Zhou and Kaoru Shimada and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Chemosphere.

In The Last Decade

Xianneng Li

51 papers receiving 859 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xianneng Li 272 224 218 208 97 56 874
Guangfei Yang 227 0.8× 284 1.3× 343 1.6× 268 1.3× 134 1.4× 54 1.0k
Guang Shi 107 0.4× 171 0.8× 112 0.5× 265 1.3× 96 1.0× 44 999
Rafael Pino‐Mejías 272 1.0× 94 0.4× 193 0.9× 88 0.4× 54 0.6× 37 1.0k
Yaochen Xie 205 0.8× 66 0.3× 249 1.1× 447 2.1× 24 0.2× 19 957
Alejandro Cervantes 229 0.8× 100 0.4× 105 0.5× 212 1.0× 29 0.3× 39 909
Liqun Liu 178 0.7× 30 0.1× 157 0.7× 332 1.6× 247 2.5× 63 976
Roberto Corizzo 430 1.6× 31 0.1× 156 0.7× 101 0.5× 49 0.5× 61 956
Yuansheng Huang 58 0.2× 183 0.8× 192 0.9× 47 0.2× 93 1.0× 65 915
Ying Zhou 51 0.2× 291 1.3× 224 1.0× 117 0.6× 148 1.5× 63 1.0k
Chunying Wu 148 0.5× 144 0.6× 66 0.3× 160 0.8× 77 0.8× 43 1.0k

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

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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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