Tai‐Woo Chang

64 total papers · 954 total citations
44 papers, 592 citations indexed

About

Tai‐Woo Chang is a scholar working on Information Systems, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Tai‐Woo Chang has authored 44 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 11 papers in Industrial and Manufacturing Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Tai‐Woo Chang's work include Technology and Data Analysis (13 papers), Digital Transformation in Industry (5 papers) and Innovation in Digital Healthcare Systems (4 papers). Tai‐Woo Chang is often cited by papers focused on Technology and Data Analysis (13 papers), Digital Transformation in Industry (5 papers) and Innovation in Digital Healthcare Systems (4 papers). Tai‐Woo Chang collaborates with scholars based in South Korea, United States and Slovakia. Tai‐Woo Chang's co-authors include Jinwoo Park, Jeongcheol Lee, Kitae Shin, Sungbum Jun, Seokcheon Lee, Yong Won Seo, Hyuk-Jin Yoon, Hye‐Sun Lim, Jun-Hee Han and Seung-Han Kim and has published in prestigious journals such as Waste Management, Sustainability and International Journal of Production Research.

In The Last Decade

Tai‐Woo Chang

34 papers receiving 545 citations

Author Peers

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

Author Last Decade Papers Cites
Tai‐Woo Chang 253 174 149 61 49 44 592
Martin Pech 308 1.2× 96 0.6× 146 1.0× 60 1.0× 72 1.5× 21 684
Mario Di Nardo 278 1.1× 90 0.5× 136 0.9× 33 0.5× 54 1.1× 49 677
Irene Roda 304 1.2× 115 0.7× 165 1.1× 92 1.5× 49 1.0× 41 648
Gregor von Cieminski 336 1.3× 149 0.9× 84 0.6× 50 0.8× 73 1.5× 30 568
N. R. Srinivasa Raghavan 258 1.0× 327 1.9× 183 1.2× 80 1.3× 34 0.7× 39 664
Zheng Wang 248 1.0× 205 1.2× 175 1.2× 50 0.8× 69 1.4× 95 697
João Barata 249 1.0× 131 0.8× 138 0.9× 26 0.4× 50 1.0× 62 550
Nikola Gjeldum 428 1.7× 129 0.7× 113 0.8× 34 0.6× 88 1.8× 32 640
Sun Hur 273 1.1× 224 1.3× 114 0.8× 106 1.7× 30 0.6× 58 632
Oleg Gusikhin 161 0.6× 194 1.1× 232 1.6× 37 0.6× 31 0.6× 61 586

Countries citing papers authored by Tai‐Woo Chang

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Woo Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai‐Woo Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Woo Chang. A scholar is included among the top collaborators of Tai‐Woo 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 Tai‐Woo Chang. Tai‐Woo 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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2026