Meng Cai

2.0k citations
139 papers · 1.4k · h-index 19

Impact in

Papers in

Meng Cai

129 papers receiving 1.3k citations

Peers

Meng Cai
Comparison fields: 5 of 141
  • Computer Vision and Pattern Recognition 429
  • Signal Processing 180
  • Media Technology 106
  • Artificial Intelligence 322
  • Aerospace Engineering 163
Replace Yuichi Motai with:
Yuichi Motai United States
Bogusław Cyganek Poland
Longlong Jing United States
Bin Sheng China
Anoop Cherian United States
Tao Jiang China
Wee Kheng Leow Singapore
Sajid Javed United Arab Emirates
Xin Yang China
Vishnu Naresh Boddeti United States
Meng Cai relative to Yuichi Motai United States Yuichi Motai's profile →
Citations per field
00.5×4.2×
Yuichi Motai · 1×
Citations per year

Countries citing papers authored by Meng Cai

Since Specialization
Citations

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

Fields of papers citing papers by Meng Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200491
2 201582
3 202057
4 201857
5 201955
6 201353
7 201845
8 201742
9 201338
10 201833
11 200129
12 201726
13 201523
14 201522
15 202222
16 201820
17 201720
18 202119
19 201419
20 202018

About Meng Cai

Meng Cai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering and Aerospace Engineering, having authored 139 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (26 papers), Natural Language Processing Techniques (16 papers), Speech and Audio Processing (15 papers), Robotics and Sensor-Based Localization (14 papers), Soft Robotics and Applications (13 papers), Music and Audio Processing (13 papers), Optical Network Technologies (12 papers) and Image and Object Detection Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (429 citations), Signal Processing (180 citations), Media Technology (106 citations), Artificial Intelligence (322 citations) and Aerospace Engineering (163 citations). Meng Cai has collaborated with scholars based in China, Australia and Philippines. Frequent co-authors include Jia Liu, Fugen Zhou, Tianmiao Wang, Xiangzhi Bai, Zhaoxi Li, Shaoya Guan, Wei-Qiang Zhang, Qi Wang, Yuru Zhang and Wusheng Chou. Their work appears in journals such as Chinese Journal of Mechanical Engineering, IEEE Access, Journal of Lightwave Technology, Machine Vision and Applications and IEEE Journal of Biomedical and Health Informatics.

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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