Mei-Ling Wu

612 citations
57 papers · 498 · h-index 11

Impact in

Papers in

Mei-Ling Wu

50 papers receiving 479 citations

Peers

Mei-Ling Wu
Comparison fields: 5 of 64
  • Mechanics of Materials 184
  • Electrical and Electronic Engineering 215
  • Biomedical Engineering 159
  • Speech and Hearing 17
  • Industrial and Manufacturing Engineering 30
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Tengjiang Hu China
Rikesh Patel United Kingdom
Kepeng Qiu China
Bohua Sun China
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Gil Ho Yoon South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Mei-Ling Wu

Since Specialization
Citations

This map shows the geographic impact of Mei-Ling 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 Mei-Ling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Ling Wu more than expected).

Fields of papers citing papers by Mei-Ling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200969
2 200864
3 199738
4 199737
5 201832
6 201731
7 200928
8 201327
9 201621
10 199812
11 200912
12 20129
13 20089
14 20098
15
Perceptions of work engagement of nurses in Taiwan
20107
16 20176
17 20216
18 20096
19 20146
20 20185

About Mei-Ling Wu

Mei-Ling Wu is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials, Mechanical Engineering, Biomedical Engineering and Automotive Engineering, having authored 57 papers that have together received 498 indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (36 papers), 3D IC and TSV technologies (27 papers), Metal Forming Simulation Techniques (9 papers), Mechanical Behavior of Composites (5 papers), Advanced Surface Polishing Techniques (5 papers), Acoustic Wave Phenomena Research (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Material Properties and Processing (4 papers). The work is most often cited by research in Mechanics of Materials (184 citations), Electrical and Electronic Engineering (215 citations), Biomedical Engineering (159 citations), Speech and Hearing (17 citations) and Industrial and Manufacturing Engineering (30 citations). Mei-Ling Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Lien-Wen Chen, Liang-Yu Wu, William D. Sproul, Yip-Wah Chung, Vinayak P. Dravid, Yip‐Wah Chung, Lien-Wen Chen, Yusin Lee, Dung‐Ying Lin and Donald E. Barker. Their work appears in journals such as IEEE Transactions on Components Packaging and Manufacturing Technology, Microelectronics Reliability, Smart Materials and Structures, Physica B Condensed Matter and Transportation Research Part B Methodological.

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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