Ming Su

1.1k total citations
67 papers, 747 citations indexed

About

Ming Su is a scholar working on Surgery, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Ming Su has authored 67 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 13 papers in Artificial Intelligence and 12 papers in Aerospace Engineering. Recurrent topics in Ming Su's work include Aluminum Alloys Composites Properties (11 papers), Aluminum Alloy Microstructure Properties (11 papers) and Coding theory and cryptography (9 papers). Ming Su is often cited by papers focused on Aluminum Alloys Composites Properties (11 papers), Aluminum Alloy Microstructure Properties (11 papers) and Coding theory and cryptography (9 papers). Ming Su collaborates with scholars based in China, United States and Austria. Ming Su's co-authors include Geng Zhou, Ming‐Hua Li, Yanling Yin, Yueqi Zhu, Zhengxue Han, Xiaoguang Yuan, Jinzhong Li, Arne Winterhof, Xiaoguang Liu and Hua Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Ming Su

60 papers receiving 739 citations

Peers

Ming Su
Comparison fields: 5 of 76
  • Neurology 281
  • Pulmonary and Respiratory Medicine 219
  • Surgery 195
  • Otorhinolaryngology 91
  • Aerospace Engineering 88
Replace Jason W. Sohn with:
Jason W. Sohn United States
Philip Edwards United Kingdom
Pascal Haigron France
Zhikai Liu China
Francesca Albertini Switzerland
Thomas Wendler Germany
C. Kappas Greece
Jaeseok Park South Korea
Yves Trousset France
Cornelis A. Grimbergen Netherlands
Jason W. Sohn United States View profile →
Citations per field, relative to Ming Su
Ming Su · 1×
Citations per year, relative to Ming Su
Ming Su · 1×

Countries citing papers authored by Ming Su

Since Specialization
Citations

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

Fields of papers citing papers by Ming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Su. A scholar is included among the top collaborators of Ming Su 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 Su. Ming Su 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 0
2 0
3 0
4 0
5 1
6 4
7 9
8 9
9 15
10 140
11 84
12 12
13 9
14 8
15 31
16 17
17 19
18
Topology based fragile watermark for binary image
1
19
DROPLET SIZING OF SUBMICRON EMULSIONS BY ULTRASONIC ATTENUATION AND VELOCITY SPECTRA
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20 5

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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