Meng Xing

422 citations
30 papers · 199 · h-index 10

Impact in

Papers in

Meng Xing

28 papers receiving 195 citations

Peers

Meng Xing
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 91
  • Artificial Intelligence 123
  • Human-Computer Interaction 10
  • Computer Networks and Communications 38
  • Management of Technology and Innovation 9
Replace Iveta Dirgová Ľuptáková with:
Iveta Dirgová Ľuptáková Slovakia
Sandra Ebert Germany
Duc Anh Duong Vietnam
Fangqiang Hu China
Lucas Pascotti Valem Brazil
Tuong Do United Kingdom
Kyung-Hee Lee South Korea
Gal Lavee Israel
Young-Seol Lee South Korea
Yuji Watanabe Japan
Meng Xing relative to Iveta Dirgová Ľuptáková Slovakia Iveta Dirgová Ľuptáková's profile →
Citations per field
00.5×1.5×2.1×
Iveta Dirgová Ľuptáková · 1×
Citations per year

Countries citing papers authored by Meng Xing

Since Specialization
Citations

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

Fields of papers citing papers by Meng Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202425
2 202417
3 202116
4 202015
5 202314
6 202312
7 202412
8 202011
9 202110
10 20239
11 20258
12 20197
13 20186
14 20185
15 20185
16 20234
17 20243
18 20193
19 20253
20 20243

About Meng Xing

Meng Xing is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Computer Networks and Communications and Social Psychology, having authored 30 papers that have together received 199 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (14 papers), Anomaly Detection Techniques and Applications (12 papers), Video Surveillance and Tracking Methods (8 papers), Network Security and Intrusion Detection (5 papers), Gait Recognition and Analysis (5 papers), Privacy-Preserving Technologies in Data (3 papers), Mental Health via Writing (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (91 citations), Artificial Intelligence (123 citations), Human-Computer Interaction (10 citations), Computer Networks and Communications (38 citations) and Management of Technology and Innovation (9 citations). Meng Xing has collaborated with scholars based in China, United Kingdom and Russia. Frequent co-authors include Yong Su, Simin An, Zhiyong Feng, Jianhai Zhang, Weilong Peng, Zhiyong Feng, Shizhan Chen, Hongyue Wu, Huiming Zhu and Chunhui He. Their work appears in journals such as Knowledge-Based Systems, ACM Transactions on Multimedia Computing Communications and Applications, Pattern Recognition, Information Fusion and Ad Hoc Networks.

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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