Ming-Hua Lin

61 total papers · 957 total citations
48 papers, 685 citations indexed

About

Ming-Hua Lin is a scholar working on Computer Networks and Communications, Numerical Analysis and Strategy and Management. According to data from OpenAlex, Ming-Hua Lin has authored 48 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Numerical Analysis and 10 papers in Strategy and Management. Recurrent topics in Ming-Hua Lin's work include Advanced Optimization Algorithms Research (11 papers), Sustainable Supply Chain Management (8 papers) and Multi-Criteria Decision Making (6 papers). Ming-Hua Lin is often cited by papers focused on Advanced Optimization Algorithms Research (11 papers), Sustainable Supply Chain Management (8 papers) and Multi-Criteria Decision Making (6 papers). Ming-Hua Lin collaborates with scholars based in Taiwan, Vietnam and United States. Ming-Hua Lin's co-authors include Jung‐Fa Tsai, Yi‐Chung Hu, Chian‐Son Yu, Phi-Hung Nguyen, Thanh‐Tuan Dang, Kim-Anh Nguyen, Ming‐Tsang Lu, Chi‐Chun Lo, Yinyu Ye and Dinh-Hieu Tran and has published in prestigious journals such as Journal of Cleaner Production, European Journal of Operational Research and Sustainability.

In The Last Decade

Ming-Hua Lin

45 papers receiving 660 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming-Hua Lin 139 131 129 103 100 48 685
Richard D. McBride 126 0.9× 131 1.0× 269 2.1× 112 1.1× 63 0.6× 59 737
Allen L. Soyster 115 0.8× 134 1.0× 73 0.6× 142 1.4× 75 0.8× 23 714
Jerome Bracken 324 2.3× 248 1.9× 78 0.6× 126 1.2× 67 0.7× 39 789
Omar Ben‐Ayed 273 2.0× 204 1.6× 128 1.0× 115 1.1× 34 0.3× 21 676
Maria João Alves 276 2.0× 217 1.7× 121 0.9× 168 1.6× 69 0.7× 36 734
Dennis L. Bricker 102 0.7× 120 0.9× 119 0.9× 139 1.3× 32 0.3× 37 608
Armin Fügenschuh 185 1.3× 50 0.4× 245 1.9× 99 1.0× 38 0.4× 79 784
Gyunghyun Choi 39 0.3× 65 0.5× 233 1.8× 87 0.8× 89 0.9× 42 740
Boglárka G.-Tóth 65 0.5× 159 1.2× 142 1.1× 35 0.3× 50 0.5× 43 563
Christoph Buchheim 93 0.7× 212 1.6× 164 1.3× 103 1.0× 46 0.5× 94 640

Countries citing papers authored by Ming-Hua Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hua Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Hua Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Hua Lin. A scholar is included among the top collaborators of Ming-Hua 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 Ming-Hua Lin. Ming-Hua Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026