Shy‐Der Lin

79 papers receiving 916 citations

Peers

Shy‐Der Lin
Comparison fields: 5 of 75
  • Management Information Systems 470
  • Modeling and Simulation 174
  • Applied Mathematics 367
  • Algebra and Number Theory 159
  • Strategy and Management 383
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Ján Lang United States
J. R. Dorroh United States
Laura Martein Italy
Ranjan Bhattacharya India
Jagdish Chandra United States
Boris Alexandrovich Sevast'yanov Russia
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Eginhard J. Muth United States
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Shy‐Der Lin relative to Ján Lang United States Ján Lang's profile →
Citations per field
00.5×10×14.7×
Ján Lang · 1×
Citations per year

Countries citing papers authored by Shy‐Der Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shy‐Der Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Shy‐Der 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 Shy‐Der Lin Line = papers co-authored together Shy‐Der Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003100
2 200891
3 200682
4 201337
5 201335
6 202032
7 201229
8 200627
9 201624
10 200422
11 201922
12 201921
13 201721
14 201519
15 201419
16 201818
17 200517
18 200516
19 201016
20 201015

About Shy‐Der Lin

Shy‐Der Lin is a scholar working on Management Information Systems, Applied Mathematics, Strategy and Management, Modeling and Simulation and Industrial and Manufacturing Engineering, having authored 83 papers that have together received 997 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (40 papers), Mathematical functions and polynomials (26 papers), Sustainable Supply Chain Management (25 papers), Fractional Differential Equations Solutions (19 papers), Scheduling and Optimization Algorithms (13 papers), Advanced Mathematical Identities (13 papers), Nonlinear Waves and Solitons (10 papers) and Management and Optimization Techniques (8 papers). The work is most often cited by research in Management Information Systems (470 citations), Modeling and Simulation (174 citations), Applied Mathematics (367 citations), Algebra and Number Theory (159 citations) and Strategy and Management (383 citations). Shy‐Der Lin has collaborated with scholars based in Taiwan, Canada and Azerbaijan. Frequent co-authors include H. M. Srivastava, Kun‐Jen Chung, Jui‐Jung Liao, Pin‐Shou Ting, Hsing‐Hsia Chen, Mei‐Ling Yeh, Jen‐Chih Yao, Ghi‐Feng Yen, I‐Chun Chen and Peter Chu. Their work appears in journals such as Applied Mathematics and Computation, Mathematical Methods in the Applied Sciences, Computers & Mathematics with Applications, Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas and Russian Journal of Mathematical Physics.

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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