Ming Yan

2.4k citations
176 papers · 1.7k · h-index 24

Impact in

Papers in

Ming Yan

148 papers receiving 1.6k citations

Peers

Ming Yan
Comparison fields: 5 of 137
  • Computer Networks and Communications 359
  • Computer Vision and Pattern Recognition 298
  • Human-Computer Interaction 53
  • Mechanics of Materials 199
  • Aerospace Engineering 190
Replace Dong Guo with:
Dong Guo China
Jon Rigelsford United Kingdom
Ce Li China
Jongwon Kim South Korea
Abhishek Kumar India
Tian Zhang China
Zhang Li China
Jianhua Liu China
Rong Liu China
Ming Yan relative to Dong Guo China Dong Guo's profile →
Citations per field
00.5×1.5×2.1×
Dong Guo · 1×
Citations per year

Countries citing papers authored by Ming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 202156
3 198956
4 202155
5 202355
6 200347
7 201946
8 201946
9 198945
10 202344
11 202243
12 201341
13 202140
14 201838
15 201636
16 199734
17 200034
18 202233
19 202329
20 200028

About Ming Yan

Ming Yan is a scholar working on Computer Networks and Communications, Mechanical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 176 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (11 papers), Interconnection Networks and Systems (11 papers), Embedded Systems Design Techniques (10 papers), Opportunistic and Delay-Tolerant Networks (9 papers), High Temperature Alloys and Creep (9 papers), Caching and Content Delivery (9 papers), Parallel Computing and Optimization Techniques (7 papers) and Telecommunications and Broadcasting Technologies (7 papers). The work is most often cited by research in Computer Networks and Communications (359 citations), Computer Vision and Pattern Recognition (298 citations), Human-Computer Interaction (53 citations), Mechanics of Materials (199 citations) and Aerospace Engineering (190 citations). Ming Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chien Aun Chan, André F. Gygax, Bhaskar D. Rao, I Chih‐Lin, Ampalavanapillai Nirmalathas, Chunguo Li, Shuhua Zhang, Xue‐Ren Wu, Wenxia Zhao and Yinghua Shen. Their work appears in journals such as Sensors, Engineering Fracture Mechanics, Heritage Science, Journal of Materials Science and Materials Science and Engineering A.

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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