Xin Deng

109 total papers · 2.3k total citations
69 papers, 1.5k citations indexed

About

Xin Deng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Xin Deng has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 14 papers in Media Technology. Recurrent topics in Xin Deng's work include Advanced Image Processing Techniques (29 papers), Advanced Vision and Imaging (21 papers) and Image and Signal Denoising Methods (14 papers). Xin Deng is often cited by papers focused on Advanced Image Processing Techniques (29 papers), Advanced Vision and Imaging (21 papers) and Image and Signal Denoising Methods (14 papers). Xin Deng collaborates with scholars based in China, United Kingdom and United States. Xin Deng's co-authors include Mai Xu, Pier Luigi Dragotti, Zulin Wang, Tianyi Li, Zhenyu Guan, Ren Yang, Shengxi Li, Lai Jiang, Yiping Duan and Yipeng Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Inorganic Chemistry.

In The Last Decade

Xin Deng

59 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Xin Deng 1.2k 445 388 132 85 69 1.5k
Zhiyong Gao 1.8k 1.5× 608 1.4× 270 0.7× 149 1.1× 115 1.4× 97 2.1k
Ligang Lu 1.6k 1.3× 444 1.0× 426 1.1× 62 0.5× 43 0.5× 63 2.0k
Li Chen 1.0k 0.8× 219 0.5× 238 0.6× 181 1.4× 43 0.5× 118 1.3k
Xu Wang 1.5k 1.3× 551 1.2× 340 0.9× 382 2.9× 68 0.8× 133 2.2k
Christophe García 1.4k 1.2× 233 0.5× 251 0.6× 305 2.3× 39 0.5× 83 1.9k
Sonja Grgić 1.5k 1.2× 397 0.9× 381 1.0× 178 1.3× 30 0.4× 97 1.9k
Xia De-shen 1.4k 1.1× 152 0.3× 470 1.2× 275 2.1× 147 1.7× 84 1.7k
Zhaoqing Pan 1.5k 1.2× 839 1.9× 192 0.5× 306 2.3× 47 0.6× 70 2.0k
R. Mehrotra 2.0k 1.7× 682 1.5× 251 0.6× 198 1.5× 37 0.4× 80 2.4k
Lu Leng 1.5k 1.3× 869 2.0× 159 0.4× 328 2.5× 70 0.8× 95 2.3k

Countries citing papers authored by Xin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Xin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Deng

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