Meng Chen

2.4k citations
122 papers · 1.6k · h-index 21

Impact in

Papers in

Meng Chen

112 papers receiving 1.6k citations

Peers

Meng Chen
Comparison fields: 5 of 159
  • Computer Vision and Pattern Recognition 249
  • Biomedical Engineering 515
  • Human-Computer Interaction 60
  • Polymers and Plastics 152
  • Cellular and Molecular Neuroscience 168
Replace Zhen Zhang with:
Zhen Zhang China
Olatunji Mumini Omisore China
Wenshuo Wang China
Yuliang Zhao China
Long Liu China
Bin He China
Pejman Iravani United Kingdom
Jiahao Chen China
Tong Li China
Meng Chen relative to Zhen Zhang China Zhen Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Meng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019188
2 2018119
3 201781
4 202462
5 201859
6 200951
7 202249
8 202446
9 201745
10 201944
11 202442
12 202338
13 200736
14 200732
15 202030
16 202129
17 201328
18 200727
19 202322
20 202321

About Meng Chen

Meng Chen is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 122 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (12 papers), Anomaly Detection Techniques and Applications (8 papers), Gait Recognition and Analysis (8 papers), Context-Aware Activity Recognition Systems (5 papers), Hand Gesture Recognition Systems (5 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Robotics and Sensor-Based Localization (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (249 citations), Biomedical Engineering (515 citations), Human-Computer Interaction (60 citations), Polymers and Plastics (152 citations) and Cellular and Molecular Neuroscience (168 citations). Meng Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yangsheng Xu, Vellaisamy A. L. Roy, Wen J. Li, Bufu Huang, Ye Zhou, Su‐Ting Han, Ziyu Lv, Yan Wang, Dong Han and Hong Nie. Their work appears in journals such as IEEE Internet of Things Journal, Advanced Science, Advanced Functional Materials, Measurement Science and Technology and Cement and Concrete Composites.

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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