Ming Gan

614 citations
23 papers · 438 indexed · h-index 11

Impact in

Papers in

Ming Gan

22 papers receiving 427 citations

Peers

Ming Gan
Comparison fields: 5 of 64
  • Automotive Engineering 170
  • Ceramics and Composites 67
  • Industrial and Manufacturing Engineering 58
  • Mechanical Engineering 213
  • Mechanics of Materials 74
Replace Renaud G. Rinaldi with:
Renaud G. Rinaldi France
Tim Schubert Germany
Scott Roberts United States
Atsushi Yumoto Japan
Sergei Evsevleev Germany
Martin Corfield United Kingdom
Suraj Rawal United States
Jun Liang China
Dong-Yeol Yang South Korea
Santanu Kumar Karmakar India
Ming Gan relative to Renaud G. Rinaldi France Renaud G. Rinaldi's profile →
Citations per field
00.5×3.6×
Renaud G. Rinaldi · 1×
Citations per year

Countries citing papers authored by Ming Gan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202312
3 201913
4 201930
5 201814
6 201738
7 20172
8 2016142
9 20147
10 201423
11 201410
12 201411
13 20149
14
Uncertainty quantification in Liquid Composite Moulding processes
20121
15 20119
16 201031
17 201010
18 201038
19 20097
20 20068

About Ming Gan

Ming Gan is a scholar working on General Engineering, Ceramics and Composites, Automotive Engineering, Mechanical Engineering and Obstetrics and Gynecology, having authored 23 papers that have together received 438 indexed citations. Recurring topics across this work include Nanowire Synthesis and Applications (5 papers), Additive Manufacturing Materials and Processes (4 papers), Advanced materials and composites (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Thermal properties of materials (3 papers), Metal and Thin Film Mechanics (3 papers), Advanced ceramic materials synthesis (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Automotive Engineering (170 citations), Ceramics and Composites (67 citations), Industrial and Manufacturing Engineering (58 citations), Mechanical Engineering (213 citations) and Mechanics of Materials (74 citations). Ming Gan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include C.H. Wong, Vikas Tomar, Hansung Kim, Li Yang, R.T. Wu, Y.C. Zhou, Jie Xia, Ling Zhang, Yang Zhang and Junxiang Shi. Their work appears in journals such as Journal of the European Ceramic Society, IEEE Signal Processing Letters, Scientific Reports, Journal of Materials Processing Technology and Ceramics International.

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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