Ming-Hung Lin

651 citations
34 papers · 470 · h-index 12

Impact in

Papers in

Ming-Hung Lin

33 papers receiving 448 citations

Peers

Ming-Hung Lin
Comparison fields: 5 of 116
  • Industrial and Manufacturing Engineering 64
  • Control and Systems Engineering 143
  • Geriatrics and Gerontology 24
  • Sensory Systems 26
  • Physiology 19
Replace Weifeng Chen with:
Weifeng Chen China
You-Ren Chen Taiwan
Ian Robinson United States
Qiang Jiao China
Zhili Pei China
Thomas Keller Germany
Min Zhou China
Yongzhi Cao China
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Citations per field
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Citations per year

Countries citing papers authored by Ming-Hung Lin

Since Specialization
Citations

This map shows the geographic impact of Ming-Hung 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-Hung 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-Hung Lin more than expected).

Fields of papers citing papers by Ming-Hung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201176
2 200160
3 201648
4 200937
5 202131
6 201929
7 201128
8 200824
9 201224
10
Capsaicin attenuates cell migration via SIRT1 targeting and inhibition to enhance cortactin and β-catenin acetylation in bladder cancer cells.
201918
11 201717
12 201716
13 20068
14
The Influence of Learning Organization on Organizational Innovation and Organizational Performance Relationship: The Case of Ecology Industry
20188
15 20108
16 20096
17 20124
18 20113
19 20183
20 20073

About Ming-Hung Lin

Ming-Hung Lin is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering, having authored 34 papers that have together received 470 indexed citations. Recurring topics across this work include Chaos control and synchronization (5 papers), Neural Networks Stability and Synchronization (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Advanced Control Systems Design (3 papers), Control and Dynamics of Mobile Robots (3 papers), Advanced Algorithms and Applications (2 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (64 citations), Control and Systems Engineering (143 citations), Geriatrics and Gerontology (24 citations), Sensory Systems (26 citations) and Physiology (19 citations). Ming-Hung Lin has collaborated with scholars based in Taiwan, Belgium and Singapore. Frequent co-authors include Chih‐Min Lin, Chun-Wen Chen, Pin Ju Chueh, Li‐Chen Fu, Jiann‐Jong Chen, Yi‐Hui Lee, Gade Pandu Rangaiah, S. Lakshminarayanan, Hsiao-Ling Cheng and Ming‐Chia Li. Their work appears in journals such as Sustainability, European Journal of Medicinal Chemistry, IEEE Systems Journal, IEEE Transactions on Robotics and Automation and International Journal of Machine Learning and Cybernetics.

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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