Tai-Lin Chiang

407 citations
15 papers · 308 · h-index 10

Impact in

Papers in

Tai-Lin Chiang

13 papers receiving 286 citations

Peers

Tai-Lin Chiang
Comparison fields: 5 of 62
  • Industrial and Manufacturing Engineering 119
  • Management Information Systems 74
  • Management Science and Operations Research 65
  • Strategy and Management 63
  • Management of Technology and Innovation 28
Replace Bikram Sharda with:
Bikram Sharda United States
PM Braiden United Kingdom
M. Jeya Chandra United States
Parveen S. Goel United States
P. Venkumar India
Choonjong Kwak South Korea
Patrick Link Germany
Pulak Bandyopadhyay United States
S. Noto La Diega Italy
Tai-Lin Chiang relative to Bikram Sharda United States Bikram Sharda's profile →
Citations per field
00.5×1.5×2.4×
Bikram Sharda · 1×
Citations per year

Countries citing papers authored by Tai-Lin Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Tai-Lin Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai-Lin Chiang. 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-Lin Chiang. The network helps show where Tai-Lin Chiang may publish in the future.

Co-authors

The 6 scholars most cited alongside Tai-Lin Chiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tai-Lin Chiang Line = papers co-authored together Tai-Lin Chiang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200657
2 200339
3 200335
4 200231
5 200830
6 200327
7 200526
8 201918
9 201916
10 200614
11 20139
12 20024
13 20061
14
Chinese studies research methodology
19821
15 20060

About Tai-Lin Chiang

Tai-Lin Chiang is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Management Information Systems, Information Systems and Computational Theory and Mathematics, having authored 15 papers that have together received 308 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (7 papers), Manufacturing Process and Optimization (6 papers), Imbalanced Data Classification Techniques (3 papers), Data Mining Algorithms and Applications (2 papers), Rough Sets and Fuzzy Logic (2 papers), Customer Service Quality and Loyalty (2 papers), Quality and Supply Management (2 papers) and Maritime Ports and Logistics (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (119 citations), Management Information Systems (74 citations), Management Science and Operations Research (65 citations), Strategy and Management (63 citations) and Management of Technology and Innovation (28 citations). Tai-Lin Chiang has collaborated with scholars based in Taiwan. Frequent co-authors include Chao‐Ton Su, Hsien‐Pin Hsu, Long‐Sheng Chen, Hsin‐Pin Fu, Chia‐Nan Wang and Te-Sheng Li. Their work appears in journals such as Computers in Industry, IEEE Transactions on Electronics Packaging Manufacturing, Sustainability, Total Quality Management & Business Excellence and International Journal of Six Sigma and Competitive Advantage.

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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