Kun Liang

46 total papers · 779 total citations
31 papers, 640 citations indexed

About

Kun Liang is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Kun Liang has authored 31 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 8 papers in Computer Networks and Communications and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Kun Liang's work include Adaptive Control of Nonlinear Systems (12 papers), Stability and Control of Uncertain Systems (10 papers) and Neural Networks Stability and Synchronization (5 papers). Kun Liang is often cited by papers focused on Adaptive Control of Nonlinear Systems (12 papers), Stability and Control of Uncertain Systems (10 papers) and Neural Networks Stability and Synchronization (5 papers). Kun Liang collaborates with scholars based in China, United States and Taiwan. Kun Liang's co-authors include Xiaogong Lin, Hao Shen, Zhen Wang, Jing Wang, Xia Huang, Jun Nie, Wangli He, Juan Li, Yu Chen and Fuguang Ding and has published in prestigious journals such as Scientific Reports, Journal of the Franklin Institute and BMC Genomics.

In The Last Decade

Kun Liang

29 papers receiving 634 citations

Author Peers

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

Author						Papers	Cites
Kun Liang	462	284	66	58	57	31	640
Guangtao Ran	502 1.1×	444 1.6×	61 0.9×	74 1.3×	62 1.1×	42	705
Wen‐Bo Xie	500 1.1×	236 0.8×	52 0.8×	92 1.6×	30 0.5×	50	742
Chenglong Du	510 1.1×	247 0.9×	60 0.9×	82 1.4×	48 0.8×	30	666
Fan Zhang	254 0.5×	376 1.3×	64 1.0×	110 1.9×	60 1.1×	34	627
Xin Jin	329 0.7×	354 1.2×	89 1.3×	73 1.3×	62 1.1×	53	595
Hui Wang	560 1.2×	255 0.9×	127 1.9×	51 0.9×	84 1.5×	53	767
Ali Kazemy	347 0.8×	323 1.1×	25 0.4×	99 1.7×	76 1.3×	44	565
Zhaoping Du	536 1.2×	347 1.2×	61 0.9×	73 1.3×	29 0.5×	49	679
Tomas Ménard	537 1.2×	225 0.8×	20 0.3×	77 1.3×	36 0.6×	38	689
Wenqiang Ji	470 1.0×	226 0.8×	47 0.7×	41 0.7×	58 1.0×	31	606

Countries citing papers authored by Kun Liang

Since Specialization

Citations

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

Fields of papers citing papers by Kun Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Liang

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