Lixiang Li

387 total papers · 9.6k total citations
300 papers, 7.4k citations indexed

About

Lixiang Li is a scholar working on Computer Networks and Communications, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Lixiang Li has authored 300 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Networks and Communications, 74 papers in Artificial Intelligence and 60 papers in Molecular Biology. Recurrent topics in Lixiang Li's work include Neural Networks Stability and Synchronization (51 papers), Nonlinear Dynamics and Pattern Formation (36 papers) and Sparse and Compressive Sensing Techniques (26 papers). Lixiang Li is often cited by papers focused on Neural Networks Stability and Synchronization (51 papers), Nonlinear Dynamics and Pattern Formation (36 papers) and Sparse and Compressive Sensing Techniques (26 papers). Lixiang Li collaborates with scholars based in China, United States and Germany. Lixiang Li's co-authors include Haipeng Peng, Yixian Yang, Cuiqing Ma, Ping Xu, Jiejin Cai, Jinghua Xiao, Chao Gao, Hui Zhao, Xiaoqian Ma and Yu Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Lixiang Li

281 papers receiving 7.2k citations

Hit Papers

A new fixed-time stabilit... 2020 2026 2022 2024 2020 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Lixiang Li 1.9k 1.8k 1.6k 1.4k 1.3k 300 7.4k
Zenghui Wang 806 0.4× 616 0.3× 1.1k 0.6× 789 0.6× 891 0.7× 298 7.8k
Guo‐Ping Jiang 984 0.5× 2.0k 1.1× 588 0.4× 199 0.1× 1.8k 1.4× 392 6.8k
Chunhua Yang 803 0.4× 1.5k 0.8× 1.7k 1.0× 1.1k 0.8× 407 0.3× 688 13.4k
Francesco Piazza 586 0.3× 398 0.2× 2.0k 1.2× 559 0.4× 433 0.3× 400 6.2k
Bor‐Sen Chen 1.4k 0.7× 1.7k 0.9× 889 0.5× 245 0.2× 509 0.4× 371 8.0k
Yan Li 572 0.3× 1.6k 0.9× 2.3k 1.4× 608 0.4× 935 0.7× 511 10.5k
Zengqiang Chen 608 0.3× 3.7k 2.0× 1.1k 0.7× 407 0.3× 3.0k 2.3× 693 12.1k
Yongsheng Ding 1.2k 0.6× 868 0.5× 517 0.3× 783 0.6× 220 0.2× 313 6.0k
Frank Allgöwer 1.8k 0.9× 3.6k 2.0× 1.6k 1.0× 601 0.4× 633 0.5× 690 17.3k
Arjan van der Schaft 3.6k 1.9× 1.8k 1.0× 2.2k 1.3× 1.1k 0.8× 2.2k 1.7× 488 21.0k

Countries citing papers authored by Lixiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Lixiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixiang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lixiang Li. A scholar is included among the top collaborators of Lixiang 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 Lixiang Li. Lixiang 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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