Stephen Chang

34 total papers · 872 total citations
20 papers, 579 citations indexed

About

Stephen Chang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Surgery. According to data from OpenAlex, Stephen Chang has authored 20 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Biomedical Engineering and 5 papers in Surgery. Recurrent topics in Stephen Chang's work include Medical Image Segmentation Techniques (6 papers), Soft Robotics and Applications (5 papers) and Augmented Reality Applications (4 papers). Stephen Chang is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Soft Robotics and Applications (5 papers) and Augmented Reality Applications (4 papers). Stephen Chang collaborates with scholars based in Singapore, Japan and China. Stephen Chang's co-authors include Chee‐Kong Chui, Bing Nan Li, Sim Heng Ong, Margaret H. Pui, Jing Qin, Rong Wen, Davide Lomanto, Kah Bin Lim, L. Yang and Zimei Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Theoretical Biology.

In The Last Decade

Stephen Chang

19 papers receiving 552 citations

Hit Papers

Integrating spatial fuzzy... 2010 2026 2015 2020 2010 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
Stephen Chang 319 130 117 114 90 20 579
Mohammed Yusuf Ansari 169 0.5× 246 1.9× 154 1.3× 159 1.4× 41 0.5× 20 676
Klaus D. Toennies 378 1.2× 146 1.1× 124 1.1× 83 0.7× 27 0.3× 40 631
Shidin Balakrishnan 193 0.6× 116 0.9× 86 0.7× 200 1.8× 153 1.7× 26 695
Tassilo Klein 266 0.8× 213 1.6× 159 1.4× 124 1.1× 41 0.5× 28 625
Alexandra Nikita 190 0.6× 203 1.6× 236 2.0× 51 0.4× 82 0.9× 16 561
P.E. Undrill 247 0.8× 328 2.5× 117 1.0× 92 0.8× 103 1.1× 35 697
Dzhoshkun I. Shakir 159 0.5× 220 1.7× 131 1.1× 105 0.9× 39 0.4× 22 530
Jian Wu 181 0.6× 215 1.7× 215 1.8× 116 1.0× 22 0.2× 18 576
Yuhao Huang 234 0.7× 134 1.0× 126 1.1× 81 0.7× 53 0.6× 41 552
Ivan Cruz‐Aceves 308 1.0× 299 2.3× 110 0.9× 98 0.9× 93 1.0× 52 646

Countries citing papers authored by Stephen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Chang

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