Gang Leng

18 total papers · 816 total citations
14 papers, 617 citations indexed

About

Gang Leng is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Gang Leng has authored 14 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Gang Leng's work include Fuzzy Logic and Control Systems (9 papers), Neural Networks and Applications (8 papers) and Robotic Path Planning Algorithms (2 papers). Gang Leng is often cited by papers focused on Fuzzy Logic and Control Systems (9 papers), Neural Networks and Applications (8 papers) and Robotic Path Planning Algorithms (2 papers). Gang Leng collaborates with scholars based in United Kingdom, United States and China. Gang Leng's co-authors include T.M. McGinnity, Girijesh Prasad, John Keane, Xiao‐Jun Zeng, Huina Mao, Yongjie Zhai, Plamen Angelov, Michael Everett, Sonya Coleman and Liam Maguire and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

Gang Leng

14 papers receiving 596 citations

Author Peers

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

Author Last Decade Papers Cites
Gang Leng 431 180 103 77 75 14 617
Vojtěch Dvořák 407 0.9× 178 1.0× 105 1.0× 72 0.9× 66 0.9× 33 672
Jesús Soto 301 0.7× 79 0.4× 96 0.9× 41 0.5× 107 1.4× 17 505
Frumen Olivas 398 0.9× 145 0.8× 51 0.5× 50 0.6× 44 0.6× 13 558
Bruno Sielly Jales Costa 383 0.9× 292 1.6× 61 0.6× 32 0.4× 44 0.6× 27 639
Yinghua Lin 397 0.9× 187 1.0× 26 0.3× 28 0.4× 39 0.5× 8 545
G.A. Cunningham 397 0.9× 187 1.0× 26 0.3× 28 0.4× 39 0.5× 8 545
S. Askari 254 0.6× 57 0.3× 71 0.7× 113 1.5× 121 1.6× 22 582
L.F. Mendonça 255 0.6× 216 1.2× 34 0.3× 88 1.1× 22 0.3× 31 557
Xiuqiao Xiang 185 0.4× 204 1.1× 71 0.7× 78 1.0× 14 0.2× 21 497
Chunshien Li 355 0.8× 188 1.0× 132 1.3× 25 0.3× 212 2.8× 31 640

Countries citing papers authored by Gang Leng

Since Specialization
Citations

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

Fields of papers citing papers by Gang Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Leng

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