Liang Du

130 total papers · 2.2k total citations
76 papers, 1.4k citations indexed

About

Liang Du is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Liang Du has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 48 papers in Computer Vision and Pattern Recognition and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Liang Du's work include Face and Expression Recognition (38 papers), Advanced Clustering Algorithms Research (17 papers) and Advanced Graph Neural Networks (11 papers). Liang Du is often cited by papers focused on Face and Expression Recognition (38 papers), Advanced Clustering Algorithms Research (17 papers) and Advanced Graph Neural Networks (11 papers). Liang Du collaborates with scholars based in China, United States and Pakistan. Liang Du's co-authors include Peng Zhou, Yi-Dong Shen, Xuejun Li, Lei Shi, Mingyu Fan, Xinge You, Xuan Li, Qiuhui Chen, Yiu‐ming Cheung and Xinwang Liu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Liang Du

66 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Liang Du 916 798 200 152 105 76 1.4k
Yuheng Jia 735 0.8× 520 0.7× 203 1.0× 106 0.7× 150 1.4× 71 1.2k
Jing Li 892 1.0× 600 0.8× 208 1.0× 72 0.5× 99 0.9× 77 1.5k
Chi Wang 700 0.8× 875 1.1× 170 0.8× 170 1.1× 112 1.1× 71 1.8k
Yan Pan 1.3k 1.5× 581 0.7× 188 0.9× 91 0.6× 128 1.2× 70 1.8k
Xijiong Xie 1.0k 1.1× 819 1.0× 249 1.2× 95 0.6× 32 0.3× 49 1.6k
Rongyao Hu 725 0.8× 679 0.9× 162 0.8× 51 0.3× 78 0.7× 42 1.2k
Wei Xia 1.1k 1.2× 697 0.9× 184 0.9× 143 0.9× 131 1.2× 57 1.6k
Han Zhang 1.1k 1.2× 623 0.8× 261 1.3× 77 0.5× 47 0.4× 47 1.4k
Yunhao Yuan 861 0.9× 571 0.7× 274 1.4× 102 0.7× 45 0.4× 103 1.5k
Chun-Guang Li 1.2k 1.3× 417 0.5× 233 1.2× 112 0.7× 164 1.6× 59 1.6k

Countries citing papers authored by Liang Du

Since Specialization
Citations

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

Fields of papers citing papers by Liang Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Du

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