Hung‐Lung Lin

1.2k citations
38 papers · 921 · h-index 16

Impact in

Papers in

Hung‐Lung Lin

38 papers receiving 870 citations

Peers

Hung‐Lung Lin
Comparison fields: 5 of 146
  • Management Science and Operations Research 292
  • Biophysics 68
  • Management of Technology and Innovation 88
  • Management Information Systems 91
  • Strategy and Management 111
Replace Hua Shi with:
Hua Shi China
Mohamed Limam Tunisia
Jerzy Michnik Poland
Chris Roberts United Kingdom
Peter de Jong United States
Azlinah Mohamed Malaysia
David Mauricio Peru
Anil Jadhav India
Hongshu Chen China
Murali Shanker United States
Hung‐Lung Lin relative to Hua Shi China Hua Shi's profile →
Citations per field
00.5×2×4×6.9×
Hua Shi · 1×
Citations per year

Countries citing papers authored by Hung‐Lung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Lung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hung‐Lung Lin, 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 Hung‐Lung Lin Line = papers co-authored together Hung‐Lung Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007119
2 200899
3 201585
4 201079
5 200770
6 200954
7 202153
8
A Fuzzy ANP-based Approach to Evaluate Medical Organizational Performance
200839
9
Lactate transport in freshly isolated human fetal retinal pigment epithelium.
199439
10 202231
11 200628
12 202126
13 200924
14 201323
15 200819
16 200616
17 202114
18 201111
19 201910
20 20188

About Hung‐Lung Lin

Hung‐Lung Lin is a scholar working on Management Science and Operations Research, Management of Technology and Innovation, Information Systems, Artificial Intelligence and Strategy and Management, having authored 38 papers that have together received 921 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (18 papers), Quality Function Deployment in Product Design (8 papers), Software Engineering Research (5 papers), Research studies in Vietnam (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Customer Service Quality and Loyalty (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Efficiency Analysis Using DEA (2 papers). The work is most often cited by research in Management Science and Operations Research (292 citations), Biophysics (68 citations), Management of Technology and Innovation (88 citations), Management Information Systems (91 citations) and Strategy and Management (111 citations). Hung‐Lung Lin has collaborated with scholars based in Taiwan, China and Greece. Frequent co-authors include Che‐Wei Chang, Cheng‐Ru Wu, Chin‐Tsai Lin, Zheng Wei, Yao‐Ming Wu, Ian Liau, Wei‐Tien Chang, S. Shea Miller, E. Kenyon and Morten la Cour. Their work appears in journals such as Journal of Testing and Evaluation, Expert Systems with Applications, PLoS ONE, Frontiers in Pharmacology and Software Quality Journal.

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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