Tai‐Woo Chang

34 papers receiving 552 citations

Peers

Tai‐Woo Chang
Comparison fields: 5 of 84
  • Industrial and Manufacturing Engineering 255
  • Management Information Systems 175
  • Strategy and Management 149
  • Management Science and Operations Research 62
  • Management of Technology and Innovation 50
Replace Gregor von Cieminski with:
Gregor von Cieminski Germany
Vítor Alcácer Portugal
Josip Stjepandić Italy
Edward Elson Kosasih United Kingdom
André Thomas France
Pankaj Sharma India
Xudong Chai China
Leidi Shen China
Faouzi Masmoudi Tunisia
Rohit Joshi India
Tai‐Woo Chang relative to Gregor von Cieminski Germany Gregor von Cieminski's profile →
Citations per field
00.5×1.5×1.9×
Gregor von Cieminski · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 0
4 2
5 1
6 8
7 21
8 10
9 24
10 6
11 11
12 11
13 17
14 68
15 16
16 16
17 1
18
ADOPTION OF RFID-BASED COMMON STANDARD PLATFORM FOR SUPPLY CHAIN MANAGEMENT
1
19
A Study of the Information Classification for Railway Industry
2
20
A Classification Study on Logistics Equipments and Their Attributes
1

About Tai‐Woo Chang

Tai‐Woo Chang is a scholar working on Industrial and Manufacturing Engineering, Health Information Management and Information Systems, having authored 45 papers that have together received 599 indexed citations. Recurring topics across this work include Technology and Data Analysis (13 papers), Digital Transformation in Industry (5 papers) and Business Process Modeling and Analysis (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (255 citations), Management Information Systems (175 citations) and Strategy and Management (149 citations). Tai‐Woo Chang has collaborated with scholars based in South Korea, United States and Slovakia. Frequent 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. Their work appears in journals such as Waste Management, Sustainability and International Journal of Production Research.

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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