Deguang Li

86 total papers · 1.0k total citations
59 papers, 651 citations indexed

About

Deguang Li is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Deguang Li has authored 59 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Networks and Communications and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Deguang Li's work include Green IT and Sustainability (7 papers), Advanced Neural Network Applications (6 papers) and Parallel Computing and Optimization Techniques (5 papers). Deguang Li is often cited by papers focused on Green IT and Sustainability (7 papers), Advanced Neural Network Applications (6 papers) and Parallel Computing and Optimization Techniques (5 papers). Deguang Li collaborates with scholars based in China, Russia and Czechia. Deguang Li's co-authors include Yongsong Cao, Pingliang Li, Yongxin Zhang, Han Sun, Ningzhong Liu, Jiaquan Shen, Shun He, Jianqiang Li, Wenbing Zhang and Guanglong Ding and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

In The Last Decade

Deguang Li

54 papers receiving 636 citations

Hit Papers

An algorithm based on lig... 2025 2026 2025 5 10 15 20

Author Peers

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

Author Last Decade Papers Cites
Deguang Li 147 127 118 80 71 59 651
Shan Zhou 104 0.7× 58 0.5× 115 1.0× 43 0.5× 56 0.8× 42 776
Monisha Chakraborty 107 0.7× 78 0.6× 56 0.5× 28 0.3× 76 1.1× 61 708
Lingzhi Liu 59 0.4× 212 1.7× 169 1.4× 98 1.2× 146 2.1× 56 771
Vishal Verma 82 0.6× 121 1.0× 211 1.8× 40 0.5× 24 0.3× 49 749
Liu Fen 87 0.6× 36 0.3× 203 1.7× 114 1.4× 84 1.2× 37 716
Xuejun Yue 118 0.8× 93 0.7× 156 1.3× 67 0.8× 41 0.6× 41 730
Md. Mahbubur Rahman 110 0.7× 66 0.5× 113 1.0× 12 0.1× 59 0.8× 67 792
Ayush Sharma 120 0.8× 49 0.4× 56 0.5× 21 0.3× 26 0.4× 49 574
Shikui Wang 82 0.6× 24 0.2× 59 0.5× 53 0.7× 54 0.8× 24 640
Yuanqiang Liu 55 0.4× 89 0.7× 62 0.5× 44 0.6× 23 0.3× 26 583

Countries citing papers authored by Deguang Li

Since Specialization
Citations

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

Fields of papers citing papers by Deguang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deguang Li

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