Ming Chang

2.0k total citations
109 papers, 1.6k citations indexed

About

Ming Chang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming Chang has authored 109 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 31 papers in Biomedical Engineering and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming Chang's work include Optical measurement and interference techniques (22 papers), Surface Roughness and Optical Measurements (16 papers) and Advanced Measurement and Metrology Techniques (16 papers). Ming Chang is often cited by papers focused on Optical measurement and interference techniques (22 papers), Surface Roughness and Optical Measurements (16 papers) and Advanced Measurement and Metrology Techniques (16 papers). Ming Chang collaborates with scholars based in Taiwan, China and Philippines. Ming Chang's co-authors include Yuh J. Chao, Xiaodong Li, Rizhi Wang, Chien Chou, Juti Rani Deka, Qing Yu, Yaw‐Jen Chang, Yongsheng Gao, Yu‐Hao Lin and Paul Lin and has published in prestigious journals such as Nano Letters, PLoS ONE and Small.

In The Last Decade

Ming Chang

101 papers receiving 1.6k citations

Peers

Ming Chang
Comparison fields: 5 of 129
  • Biomedical Engineering 588
  • Biomaterials 407
  • Electrical and Electronic Engineering 340
  • Materials Chemistry 298
  • Computer Vision and Pattern Recognition 238
Replace Willem Jan Palenstijn with:
Willem Jan Palenstijn Netherlands
Doğa Gürsoy United States
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Guohao Du China
Johann Kastner Austria
Roberto Pini Italy
Michael T. Postek United States
Willem Jan Palenstijn Netherlands View profile →
Citations per field, relative to Ming Chang
Ming Chang · 1×
Citations per year, relative to Ming Chang
Ming Chang · 1×

Countries citing papers authored by Ming Chang

Since Specialization
Citations

This map shows the geographic impact of Ming 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 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 Chang more than expected).

Fields of papers citing papers by Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Chang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 19
5 1
6 19
7 1
8 21
9 6
10 26
11 5
12 7
13 0
14 0
15 1
16 27
17 2
18 18
19 15
20 17

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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