Shuochen Su

14 total papers · 1.0k total citations
9 papers, 608 citations indexed

About

Shuochen Su is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Instrumentation. According to data from OpenAlex, Shuochen Su has authored 9 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 3 papers in Instrumentation. Recurrent topics in Shuochen Su's work include Advanced Vision and Imaging (7 papers), Optical measurement and interference techniques (6 papers) and Image Processing Techniques and Applications (6 papers). Shuochen Su is often cited by papers focused on Advanced Vision and Imaging (7 papers), Optical measurement and interference techniques (6 papers) and Image Processing Techniques and Applications (6 papers). Shuochen Su collaborates with scholars based in Canada, Saudi Arabia and United States. Shuochen Su's co-authors include Wolfgang Heidrich, Mauricio Delbracio, Guillermo Sapiro, Oliver Wang, Jue Wang, Felix Heide, Gordon Wetzstein, Qiang Fu, Yifan Peng and Cho-Ying Wu and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Express and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Shuochen Su

9 papers receiving 593 citations

Hit Papers

Deep Video Deblurring for... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shuochen Su 503 234 89 70 31 9 608
Tom E. Bishop 466 0.9× 241 1.0× 21 0.2× 49 0.7× 19 0.6× 13 523
Haofeng Huang 576 1.1× 245 1.0× 29 0.3× 41 0.6× 20 0.6× 12 635
Changyin Zhou 472 0.9× 452 1.9× 33 0.4× 140 2.0× 50 1.6× 22 640
Gyeongmin Choe 510 1.0× 167 0.7× 23 0.3× 31 0.4× 19 0.6× 14 558
Pengfei Fan 290 0.6× 135 0.6× 69 0.8× 141 2.0× 135 4.4× 17 600
Guochen Shen 415 0.8× 194 0.8× 51 0.6× 32 0.5× 75 2.4× 7 499
Yosuke Bando 380 0.8× 191 0.8× 25 0.3× 81 1.2× 35 1.1× 17 567
Naejin Kong 551 1.1× 145 0.6× 11 0.1× 50 0.7× 25 0.8× 7 683
James Gregson 257 0.5× 71 0.3× 136 1.5× 87 1.2× 23 0.7× 17 579
Todor Georgiev 534 1.1× 325 1.4× 32 0.4× 90 1.3× 29 0.9× 25 655

Countries citing papers authored by Shuochen Su

Since Specialization
Citations

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

Fields of papers citing papers by Shuochen Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuochen Su

This figure shows the co-authorship network connecting the top 25 collaborators of Shuochen Su. A scholar is included among the top collaborators of Shuochen 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 Shuochen Su. Shuochen Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026