Xiangdong Su

82 total papers · 637 total citations
31 papers, 311 citations indexed

About

Xiangdong Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Xiangdong Su has authored 31 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Xiangdong Su's work include Advanced Image and Video Retrieval Techniques (6 papers), Speech and Audio Processing (5 papers) and Handwritten Text Recognition Techniques (5 papers). Xiangdong Su is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Speech and Audio Processing (5 papers) and Handwritten Text Recognition Techniques (5 papers). Xiangdong Su collaborates with scholars based in China and France. Xiangdong Su's co-authors include Xiang Hao, Radu Horaud, Xiaofei Li, Guanglai Gao, Feilong Bao, Chen Wei, Ming Wei, Nan Chen, Yeyun Gong and Yun Liu and has published in prestigious journals such as Expert Systems with Applications, International Journal of Pharmaceutics and Pattern Recognition.

In The Last Decade

Xiangdong Su

28 papers receiving 299 citations

Author Peers

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

Author Last Decade Papers Cites
Xiangdong Su 183 175 74 64 30 31 311
Ziteng Wang 167 0.9× 140 0.8× 64 0.9× 81 1.3× 29 1.0× 31 316
Yung‐Hwan Oh 192 1.0× 223 1.3× 63 0.9× 24 0.4× 26 0.9× 47 339
Zhanlei Yang 184 1.0× 121 0.7× 62 0.8× 17 0.3× 16 0.5× 23 328
Chang Huai You 214 1.2× 251 1.4× 48 0.6× 69 1.1× 27 0.9× 30 324
Ioannis Dologlou 118 0.6× 168 1.0× 48 0.6× 52 0.8× 16 0.5× 38 333
Shuai Nie 174 1.0× 170 1.0× 148 2.0× 47 0.7× 32 1.1× 25 342
R. Coelho 111 0.6× 234 1.3× 65 0.9× 47 0.7× 26 0.9× 32 331
Etienne Marcheret 150 0.8× 207 1.2× 106 1.4× 20 0.3× 25 0.8× 28 306
Yang Sun 139 0.8× 186 1.1× 43 0.6× 49 0.8× 22 0.7× 36 261
Titouan Parcollet 214 1.2× 120 0.7× 74 1.0× 13 0.2× 10 0.3× 30 309

Countries citing papers authored by Xiangdong Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiangdong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangdong Su

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