Wei Liang

86 total papers · 974 total citations
56 papers, 781 citations indexed

About

Wei Liang is a scholar working on Statistical and Nonlinear Physics, Automotive Engineering and Computer Networks and Communications. According to data from OpenAlex, Wei Liang has authored 56 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 15 papers in Automotive Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Wei Liang's work include Quantum chaos and dynamical systems (13 papers), Chaos control and synchronization (10 papers) and Electric and Hybrid Vehicle Technologies (8 papers). Wei Liang is often cited by papers focused on Quantum chaos and dynamical systems (13 papers), Chaos control and synchronization (10 papers) and Electric and Hybrid Vehicle Technologies (8 papers). Wei Liang collaborates with scholars based in China, United States and Czechia. Wei Liang's co-authors include Tiegang Fang, Chia-fon F. Lee, Ming Kuang, Ilya Kolmanovsky, Stefano Di Cairano, Anthony M. Phillips, Ryan McGee, Zihan Zhang, Yan Chen and Hai Yu and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and IEEE Transactions on Control Systems Technology.

In The Last Decade

Wei Liang

49 papers receiving 755 citations

Hit Papers

Existence of chaos for pa... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Wei Liang 266 147 130 129 118 56 781
V. H. Olivares-Peregrino 44 0.2× 60 0.4× 506 3.9× 219 1.7× 98 0.8× 45 867
Abolhassan Razminia 34 0.1× 144 1.0× 237 1.8× 162 1.3× 44 0.4× 58 772
Gerardo Guerrero 53 0.2× 115 0.8× 112 0.9× 418 3.2× 158 1.3× 59 671
Stéphane Victor 117 0.4× 57 0.4× 195 1.5× 537 4.2× 53 0.4× 55 728
Pascalin Tiam Kapen 48 0.2× 109 0.7× 89 0.7× 38 0.3× 184 1.6× 44 777
Deepak Kumar 56 0.2× 100 0.7× 126 1.0× 359 2.8× 319 2.7× 72 716
Grzegorz Kudra 85 0.3× 135 0.9× 60 0.5× 328 2.5× 25 0.2× 71 714
Tamás Kalmár‐Nagy 27 0.1× 299 2.0× 38 0.3× 271 2.1× 73 0.6× 66 908
Jamel Baili 52 0.2× 175 1.2× 132 1.0× 24 0.2× 34 0.3× 52 847
Grzegorz Sarwas 76 0.3× 50 0.3× 302 2.3× 328 2.5× 72 0.6× 26 625

Countries citing papers authored by Wei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Liang

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