Liang-Jian Deng

206 total papers · 5.3k total citations
155 papers, 3.7k citations indexed

About

Liang-Jian Deng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Liang-Jian Deng has authored 155 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Vision and Pattern Recognition, 99 papers in Media Technology and 27 papers in Computational Mechanics. Recurrent topics in Liang-Jian Deng's work include Advanced Image Fusion Techniques (92 papers), Image and Signal Denoising Methods (77 papers) and Remote-Sensing Image Classification (54 papers). Liang-Jian Deng is often cited by papers focused on Advanced Image Fusion Techniques (92 papers), Image and Signal Denoising Methods (77 papers) and Remote-Sensing Image Classification (54 papers). Liang-Jian Deng collaborates with scholars based in China, Italy and United States. Liang-Jian Deng's co-authors include Ting‐Zhu Huang, Gemine Vivone, Xi-Le Zhao, Tai-Xiang Jiang, Jocelyn Chanussot, Jinfan Hu, Jie Huang, Cheng Jin, Xiao Wu and Ran Ran and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Liang-Jian Deng

145 papers receiving 3.7k citations

Hit Papers

Machine Learning in Pansh... 2022 2026 2023 2024 2022 2023 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Liang-Jian Deng 2.6k 2.5k 465 364 223 155 3.7k
Yongqiang Zhao 2.2k 0.9× 2.4k 1.0× 596 1.3× 586 1.6× 519 2.3× 165 3.8k
Qian Zhao 3.4k 1.3× 1.9k 0.8× 911 2.0× 310 0.9× 223 1.0× 124 4.8k
Seong G. Kong 2.0k 0.8× 1.1k 0.4× 325 0.7× 565 1.6× 125 0.6× 107 3.6k
Luxin Yan 2.2k 0.8× 1.4k 0.6× 449 1.0× 266 0.7× 65 0.3× 117 3.0k
Junhui Hou 4.8k 1.8× 1.6k 0.6× 920 2.0× 448 1.2× 292 1.3× 204 6.3k
Hui Ji 4.8k 1.8× 1.8k 0.7× 1.0k 2.2× 523 1.4× 58 0.3× 165 6.1k
Ju Sun 2.6k 1.0× 941 0.4× 1.2k 2.7× 294 0.8× 138 0.6× 71 4.0k
Yi Chang 1.7k 0.6× 1.2k 0.5× 367 0.8× 147 0.4× 51 0.2× 68 2.5k
Byeungwoo Jeon 2.3k 0.9× 1.0k 0.4× 357 0.8× 233 0.6× 290 1.3× 258 3.5k
Yuntao Qian 1.8k 0.7× 3.1k 1.3× 468 1.0× 261 0.7× 1.5k 6.9× 190 4.2k

Countries citing papers authored by Liang-Jian Deng

Since Specialization
Citations

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

Fields of papers citing papers by Liang-Jian Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang-Jian Deng

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