Din-Chang Tseng

68 total papers · 1.3k total citations
56 papers, 894 citations indexed

About

Din-Chang Tseng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Din-Chang Tseng has authored 56 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 10 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Din-Chang Tseng's work include Image and Signal Denoising Methods (11 papers), Remote-Sensing Image Classification (11 papers) and Computer Graphics and Visualization Techniques (9 papers). Din-Chang Tseng is often cited by papers focused on Image and Signal Denoising Methods (11 papers), Remote-Sensing Image Classification (11 papers) and Computer Graphics and Visualization Techniques (9 papers). Din-Chang Tseng collaborates with scholars based in Taiwan and China. Din-Chang Tseng's co-authors include Yong-Huai Huang, Chang-Min Chou, Hsiao‐Ting Tseng, Chih‐Chin Lai, Chi-Hsuan Chang, Zen Chen, Yi‐Ling Chen, Hanying Wang, Shinn‐Ying Ho and Jerry Chun‐Wei Lin and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Pattern Recognition and IEEE Transactions on Robotics and Automation.

In The Last Decade

Din-Chang Tseng

49 papers receiving 801 citations

Author Peers

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

Author Last Decade Papers Cites
Din-Chang Tseng 704 193 74 73 63 56 894
Kai Wang 606 0.9× 139 0.7× 94 1.3× 129 1.8× 23 0.4× 38 935
Yuzhong Shen 257 0.4× 181 0.9× 66 0.9× 68 0.9× 55 0.9× 92 734
Wei Xiong 595 0.8× 140 0.7× 64 0.9× 225 3.1× 15 0.2× 53 1.0k
Martin Herman 659 0.9× 125 0.6× 38 0.5× 64 0.9× 59 0.9× 69 911
Da Yang 507 0.7× 127 0.7× 17 0.2× 116 1.6× 31 0.5× 40 827
Rongshan Chen 343 0.5× 84 0.4× 19 0.3× 79 1.1× 67 1.1× 38 815
Huan Ling 723 1.0× 89 0.5× 88 1.2× 206 2.8× 14 0.2× 33 1.0k
Faisal Z. Qureshi 643 0.9× 63 0.3× 56 0.8× 107 1.5× 22 0.3× 61 881
Alberto S. Aguado 602 0.9× 161 0.8× 24 0.3× 86 1.2× 12 0.2× 30 915
Shyi‐Chyi Cheng 428 0.6× 68 0.4× 32 0.4× 72 1.0× 24 0.4× 68 872

Countries citing papers authored by Din-Chang Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Din-Chang Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Din-Chang Tseng

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