Ting-Cheng Chang

83 total papers · 693 total citations
58 papers, 509 citations indexed

About

Ting-Cheng Chang is a scholar working on Management Science and Operations Research, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ting-Cheng Chang has authored 58 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 14 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ting-Cheng Chang's work include Grey System Theory Applications (13 papers), Rough Sets and Fuzzy Logic (7 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Ting-Cheng Chang is often cited by papers focused on Grey System Theory Applications (13 papers), Rough Sets and Fuzzy Logic (7 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Ting-Cheng Chang collaborates with scholars based in China, Taiwan and United States. Ting-Cheng Chang's co-authors include Kun‐Li Wen, Mei-Li You, Yung‐Kuan Chan, Chuin-Mu Wang, Shyr-Shen Yu, Hui Wang, Kuang Yu Huang, Hui Wang, Youming Li and Shiliang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Soft Computing.

In The Last Decade

Ting-Cheng Chang

55 papers receiving 485 citations

Author Peers

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

Author Last Decade Papers Cites
Ting-Cheng Chang 103 102 92 79 64 58 509
Antoni Wibowo 105 1.0× 45 0.4× 146 1.6× 64 0.8× 31 0.5× 92 554
Jianguo Zheng 75 0.7× 40 0.4× 99 1.1× 57 0.7× 30 0.5× 67 453
B. Karthikeyan 78 0.8× 104 1.0× 112 1.2× 48 0.6× 55 0.9× 76 613
Zheng Wei 66 0.6× 53 0.5× 77 0.8× 113 1.4× 90 1.4× 55 512
V. Maria Anu 97 0.9× 55 0.5× 50 0.5× 25 0.3× 59 0.9× 52 451
Ilias Petrounias 56 0.5× 102 1.0× 129 1.4× 100 1.3× 55 0.9× 48 548
G.A. Vijayalakshmi Pai 159 1.5× 98 1.0× 153 1.7× 17 0.2× 49 0.8× 34 543
Ayman Mansour 33 0.3× 92 0.9× 152 1.7× 124 1.6× 40 0.6× 51 461
Feng Wang 84 0.8× 61 0.6× 131 1.4× 63 0.8× 20 0.3× 42 556
Aïcha Sekhari 65 0.6× 69 0.7× 88 1.0× 42 0.5× 72 1.1× 43 487

Countries citing papers authored by Ting-Cheng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Cheng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting-Cheng Chang

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