Lei Meng

1.2k total citations
60 papers, 652 citations indexed

About

Lei Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Lei Meng has authored 60 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Lei Meng's work include Advanced Image and Video Retrieval Techniques (11 papers), Generative Adversarial Networks and Image Synthesis (10 papers) and Multimodal Machine Learning Applications (10 papers). Lei Meng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Generative Adversarial Networks and Image Synthesis (10 papers) and Multimodal Machine Learning Applications (10 papers). Lei Meng collaborates with scholars based in China, Singapore and United States. Lei Meng's co-authors include Ah‐Hwee Tan, Tat‐Seng Chua, Xiangxu Meng, Chunyan Miao, Dong Xu, Cyril Leung, Liqiang Nie, Xuelong Li, Luming Zhang and Xiaojun Chang and has published in prestigious journals such as Information Sciences, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Lei Meng

52 papers receiving 641 citations

Peers

Lei Meng
Comparison fields: 5 of 84
  • Artificial Intelligence 345
  • Computer Vision and Pattern Recognition 328
  • Information Systems 95
  • Signal Processing 39
  • Media Technology 33
Replace Shengjie Luo with:
Shengjie Luo Taiwan
Shuangfei Zhai United States
Fangxiang Feng China
Jinpeng Wang China
Shoou-I Yu United States
Neeta Nain India
Priyanka Singh India
Rongfei Jia China
Xiaoming Liu China
Yan‐Ming Zhang China
Shengjie Luo Taiwan View profile →
Citations per field, relative to Lei Meng
Lei Meng · 1×
Citations per year, relative to Lei Meng
Lei Meng · 1×

Countries citing papers authored by Lei Meng

Since Specialization
Citations

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

Fields of papers citing papers by Lei Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Meng. A scholar is included among the top collaborators of Lei Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Meng. Lei Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 8
5 3
6 1
7 0
8 1
9 0
10 10
11 17
12 12
13 8
14 3
15 11
16 1
17 41
18 22
19 10
20 8

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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