Yan Meng

413 citations
29 papers · 280 indexed · h-index 10

Impact in

Papers in

Yan Meng

27 papers receiving 270 citations

Peers

Yan Meng
Comparison fields: 5 of 61
  • Computer Networks and Communications 91
  • Health Informatics 5
  • Mechanical Engineering 118
  • Control and Systems Engineering 73
  • Computer Vision and Pattern Recognition 46
Replace Raymond Sheh with:
Raymond Sheh Australia
Shumaila Javaid China
Kiattisin Kanjanawanishkul Thailand
Golnaz Habibi United States
Tan Li China
Dianye Huang China
Fredy Hernán Martínez Sarmiento Colombia
M. Ramkumar Raja Saudi Arabia
Ruffin White United States
Yan Meng relative to Raymond Sheh Australia Raymond Sheh's profile →
Citations per field
00.5×4.5×
Raymond Sheh · 1×
Citations per year

Countries citing papers authored by Yan Meng

Since Specialization
Citations

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

Fields of papers citing papers by Yan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20241
5 20242
6 20241
7 20232
8 20216
9 20143
10 20133
11 20131
12 201248
13 201124
14
Application Of Support Vector Machine In Slope Engineering
20101
15 201015
16 20103
17 20105
18 200910
19 20089
20 20064

About Yan Meng

Yan Meng is a scholar working on Mechanical Engineering, Control and Systems Engineering, Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 280 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (8 papers), Gene Regulatory Network Analysis (3 papers), Fault Detection and Control Systems (3 papers), Nerve injury and regeneration (3 papers), Robot Manipulation and Learning (3 papers), Mineral Processing and Grinding (3 papers), Artificial Immune Systems Applications (2 papers) and Distributed Control Multi-Agent Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (91 citations), Health Informatics (5 citations), Mechanical Engineering (118 citations), Control and Systems Engineering (73 citations) and Computer Vision and Pattern Recognition (46 citations). Yan Meng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yaochu Jin, Hongliang Guo, Jun Yin, Jia Zhang, Wei Sun, Jinsong Zhao, Hao Zhang, Jianhua Su, Ahmet Palazoğlu and Xiaojun Yu. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Journal of Process Control, Journal of Materials Processing Technology, Engineering Fracture Mechanics and ACM Transactions on Autonomous and Adaptive Systems.

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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