Ming-Hung Lin

50 papers receiving 1.1k citations

Ming-Hung Lin's Hit Papers

A Study of the Effects of Digital Learning on Learning Motivation and Learning Outcome 2017 · 497 citations
4970+3+6Years since publication100200300400

Peers

Ming-Hung Lin
Comparison fields: 5 of 164
  • Education 360
  • Information Systems 242
  • Computer Science Applications 56
  • Endocrine and Autonomic Systems 66
  • Oral Surgery 64
Replace Chien‐Hsu Chen with:
Chien‐Hsu Chen Taiwan
Sanghoon Park South Korea
Hyunsu Lee South Korea
Min-Kyung Lee South Korea
Ming‐Chun Chen Taiwan
Zhe Li China
Yu‐Shan Chang Taiwan
Qing Ma China
Nosayba Al‐Azzam Jordan
Christopher Watson Australia
Ming-Hung Lin relative to Chien‐Hsu Chen Taiwan Chien‐Hsu Chen's profile →
Citations per field
00.5×10×20×32×
Chien‐Hsu Chen · 1×
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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Study of the Effects of Digital Learning on Learning Motivation and Learning Outcome
Hit paper breakdown →
2017497
2 2015125
3 200984
4 200656
5 201443
6 200237
7 200734
8 200932
9 201526
10 201325
11
Antiplatelet action of dehydrokawain derivatives isolated from Alpinia speciosa rhizoma.
199024
12 199518
13 200715
14 200114
15 200114
16 202113
17 200013
18 199913
19 200312
20 201911

About Ming-Hung Lin

Ming-Hung Lin is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Industrial and Manufacturing Engineering, Mechanical Engineering and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (5 papers), Advanced Machining and Optimization Techniques (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Scheduling and Optimization Algorithms (4 papers), Advanced machining processes and optimization (3 papers), Shape Memory Alloy Transformations (3 papers), Menstrual Health and Disorders (3 papers) and Advanced materials and composites (3 papers). The work is most often cited by research in Education (360 citations), Information Systems (242 citations), Computer Science Applications (56 citations), Endocrine and Autonomic Systems (66 citations) and Oral Surgery (64 citations). Ming-Hung Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shu‐Feng Hsieh, Hsin-Chih Lin, Li‐Chen Fu, Yu‐Wen Chen, Bin Zhao, Ren‐Yeong Huang, David L. Cochran, Jyh‐Hong Lee, Chun‐An Chen and Kong-Sang Wan. Their work appears in journals such as PLoS ONE, Optics Express, Journal of Alloys and Compounds, Scientific Reports and International Archives of Occupational and Environmental Health.

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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