Wen‐Tsann Lin

34 papers receiving 381 citations

Peers

Wen‐Tsann Lin
Comparison fields: 5 of 86
  • Management Information Systems 173
  • Strategy and Management 95
  • Organizational Behavior and Human Resource Management 63
  • Management Science and Operations Research 58
  • Industrial and Manufacturing Engineering 53
Replace Q.B. Chung with:
Q.B. Chung United States
Frenie Jiju Antony United Kingdom
Carlos Henrique Pereira Mello Brazil
Latif Al‐Hakim Australia
Ahmad Elshennawy United States
Chandan Bhar India
Håkan Wiklund Sweden
Kong Bieng Chuah Hong Kong
R.R. Lakhe India
Graeme Knowles United Kingdom
Wen‐Tsann Lin relative to Q.B. Chung United States Q.B. Chung's profile →
Citations per field
00.5×1.5×2.3×
Q.B. Chung · 1×
Citations per year

Countries citing papers authored by Wen‐Tsann Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Tsann Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Tsann Lin. 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 Wen‐Tsann Lin. The network helps show where Wen‐Tsann Lin may publish in the future.

Co-authorship network of co-authors of Wen‐Tsann Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Tsann Lin. A scholar is included among the top collaborators of Wen‐Tsann Lin 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 Wen‐Tsann Lin. Wen‐Tsann Lin 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 7
2
Medical employees' core competency: Application of two-stage clustering
0
3 2
4 2
5 0
6 1
7 1
8 43
9 10
10 5
11 11
12 13
13 8
14 1
15 19
16 37
17 16
18 34
19 24
20 15

About Wen‐Tsann Lin

Wen‐Tsann Lin is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management of Technology and Innovation, having authored 36 papers that have together received 428 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (10 papers), Quality and Supply Management (8 papers) and Advanced Statistical Process Monitoring (5 papers). The work is most often cited by research in Management Information Systems (173 citations), Management of Technology and Innovation (46 citations) and Strategy and Management (95 citations). Wen‐Tsann Lin has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Tsu‐Ming Yeh, Ching‐Chow Yang, Hsin‐Hung Wu, Yung‐Tsan Jou, Shun‐Hsing Chen, Wei‐Cheng Lee, Kuen‐Suan Chen, Song‐Jeng Huang, Wei-Yu Chen and Yuxin Shi. Their work appears in journals such as Expert Systems with Applications, International Journal of Production Economics 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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