Xiaobin Chang

39 total papers · 1.1k total citations
16 papers, 527 citations indexed

About

Xiaobin Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaobin Chang has authored 16 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaobin Chang's work include Domain Adaptation and Few-Shot Learning (7 papers), Video Surveillance and Tracking Methods (3 papers) and Face recognition and analysis (3 papers). Xiaobin Chang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Video Surveillance and Tracking Methods (3 papers) and Face recognition and analysis (3 papers). Xiaobin Chang collaborates with scholars based in China, United Kingdom and Austria. Xiaobin Chang's co-authors include Tao Xiang, Timothy M. Hospedales, Wei‐Shi Zheng, Jianguo Zhang, Yongxin Yang, Xiuwei Chen, Greg Mori, Frederick Tung, Ancong Wu and Chao Wu and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Research on Chemical Intermediates.

In The Last Decade

Xiaobin Chang

13 papers receiving 519 citations

Hit Papers

Multi-level Factorisation... 2018 2026 2020 2023 2018 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
Xiaobin Chang 476 190 105 19 19 16 527
Fengxiang Yang 409 0.9× 195 1.0× 98 0.9× 23 1.2× 19 1.0× 21 520
Shengyong Ding 473 1.0× 194 1.0× 52 0.5× 33 1.7× 28 1.5× 24 598
Houjing Huang 506 1.1× 207 1.1× 82 0.8× 23 1.2× 25 1.3× 9 555
Sumin Lee 322 0.7× 104 0.5× 50 0.5× 11 0.6× 22 1.2× 34 453
Faqiang Wang 380 0.8× 186 1.0× 65 0.6× 8 0.4× 5 0.3× 9 483
Etienne Corvée 461 1.0× 185 1.0× 47 0.4× 17 0.9× 9 0.5× 14 472
Niloofar Gheissari 478 1.0× 157 0.8× 77 0.7× 19 1.0× 15 0.8× 22 588
Xinqian Gu 458 1.0× 245 1.3× 41 0.4× 8 0.4× 19 1.0× 12 487
Guile Wu 338 0.7× 71 0.4× 180 1.7× 9 0.5× 17 0.9× 21 452
Emrah Başaran 473 1.0× 168 0.9× 43 0.4× 21 1.1× 14 0.7× 11 490

Countries citing papers authored by Xiaobin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Chang

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