Ming-Hung Wu

744 citations
28 papers · 565 · h-index 13

Impact in

Papers in

Ming-Hung Wu

23 papers receiving 538 citations

Peers

Ming-Hung Wu
Comparison fields: 5 of 53
  • Industrial and Manufacturing Engineering 320
  • Building and Construction 138
  • Surfaces, Coatings and Films 29
  • Electrical and Electronic Engineering 167
  • Computer Vision and Pattern Recognition 51
Replace Kyungho Lee with:
Kyungho Lee South Korea
Angelo Merlo Italy
Fabrice Duval France
Meng Zhao China
Tingyu Lin China
Lennie E. N. Lim Singapore
Ya Liu China
Xiaoxi Wang United States
Lixia Wang China
Ming-Hung Wu relative to Kyungho Lee South Korea Kyungho Lee's profile →
Citations per field
00.5×10×14.5×
Kyungho Lee · 1×
Citations per year

Countries citing papers authored by Ming-Hung Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201484
2 200463
3 201161
4 201152
5 200845
6 201438
7 201934
8 201528
9 199927
10 202023
11 199920
12 201319
13 202017
14 200210
15 20039
16 20197
17 20236
18 20195
19 20165
20 20145

About Ming-Hung Wu

Ming-Hung Wu is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Materials Chemistry, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 28 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (7 papers), Semiconductor materials and devices (7 papers), Thin-Film Transistor Technologies (6 papers), Optimization and Packing Problems (5 papers), ZnO doping and properties (4 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Semiconductor Lasers and Optical Devices (3 papers) and Optical Coatings and Gratings (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (320 citations), Building and Construction (138 citations), Surfaces, Coatings and Films (29 citations), Electrical and Electronic Engineering (167 citations) and Computer Vision and Pattern Recognition (51 citations). Ming-Hung Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jason Chao-Hsien Pan, Jyh-Horng Lin, Horng‐Chih Lin, D. Morton, Peter Myler, R. W. Baines, Ping Yang, Xiao‐Wei Zhu, Tiao−Yuan Huang and Tuo‐Hung Hou. Their work appears in journals such as Computers & Industrial Engineering, Japanese Journal of Applied Physics, Scientific Reports, Enterprise Information Systems and Computers in Industry.

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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