Ming‐Wen Chang

824 citations
51 papers · 675 · h-index 13

Impact in

    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Catalysis and Oxidation Reactions

Papers in

Ming‐Wen Chang

48 papers receiving 638 citations

Peers

Ming‐Wen Chang
Comparison fields: 5 of 105
  • Neurology 54
  • Catalysis 49
  • Biochemistry 42
  • Developmental Neuroscience 15
  • Neurology 51
Replace Tao Lei with:
Tao Lei China
Alexandru Korotcov United States
Jialing Wang China
Ji Qi China
Pei Qin China
Kwang‐Hoon Chun South Korea
Han Zhou China
Weifeng Jin China
Zhiqi Yang China
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Ming‐Wen Chang relative to Tao Lei China Tao Lei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming‐Wen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Wen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Wen Chang. 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‐Wen Chang. The network helps show where Ming‐Wen Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985127
2 201089
3 198777
4 200747
5 198637
6 200129
7 202025
8 198623
9 201619
10 199719
11 201915
12 202113
13 201513
14 199311
15 201411
16 201610
17 19879
18 19958
19 20067
20 20167

About Ming‐Wen Chang

Ming‐Wen Chang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Materials Chemistry and Catalysis, having authored 51 papers that have together received 675 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (7 papers), Catalysis and Oxidation Reactions (7 papers), Photonic and Optical Devices (6 papers), Advanced optical system design (6 papers), Advanced Fiber Optic Sensors (5 papers), Semiconductor Lasers and Optical Devices (5 papers), Photorefractive and Nonlinear Optics (3 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Neurology (54 citations), Catalysis (49 citations), Biochemistry (42 citations), Developmental Neuroscience (15 citations) and Neurology (51 citations). Ming‐Wen Chang has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include S B Hwang, My‐Hanh Lam, Wen‐Shyan Sheu, T. Y. Shen, Mao‐Tsun Lin, Ming‐Shing Young, Thomas W. Doebber, Xiuli Wang, Minmin Wu and Ronghai Li. Their work appears in journals such as Polyhedron, Proceedings of the National Academy of Sciences, Physical Chemistry Chemical Physics, IEEE Transactions on Magnetics and Journal of Catalysis.

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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