Qinggang Meng

6.0k citations
168 papers · 4.2k indexed · 3 hit papers · h-index 29

Qinggang Meng

158 papers receiving 4.1k citations

Hit Papers

PGA-Net: Pyramid Feature Fusion and Global Context Atte...3792015202620182022250500750

Peers

Qinggang Meng
Comparison fields: 5 of 155
  • Industrial and Manufacturing Engineering 1.2k
  • Computer Vision and Pattern Recognition 1.7k
  • Media Technology 361
  • Computer Networks and Communications 830
  • Civil and Structural Engineering 423
Replace Hichem Snoussi with:
Hichem Snoussi France
Quan Zhang China
De Xu China
Erfu Yang United Kingdom
Emil M. Petriu Canada
Dikai Liu Australia
Jürgen Beyerer Germany
Hong Qiao China
S.-H. Gary Chan Hong Kong
G.K.H. Pang Hong Kong
Qinggang Meng relative to Hichem Snoussi France Hichem Snoussi's profile →
Citations per field
00.5×3.7×
Hichem Snoussi · 1×
Citations per year

Countries citing papers authored by Qinggang Meng

Since Specialization
Citations

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

Fields of papers citing papers by Qinggang Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20246
5 20248
6 202327
7 202217
8 20203
9 2020153
10 202054
11 202022
12 202025
13 20198
14 201916
15 20189
16 201846
17 201837
18 201831
19 201638
20
Developmental Robotics from Developmental Psychology
20060

About Qinggang Meng

Qinggang Meng is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Human-Computer Interaction, having authored 168 papers that have together received 4.2k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (16 papers), Visual Attention and Saliency Detection (15 papers), Robot Manipulation and Learning (14 papers), Human Pose and Action Recognition (14 papers), Image and Video Quality Assessment (14 papers), Robotic Path Planning Algorithms (12 papers), Advanced Vision and Imaging (12 papers) and Reinforcement Learning in Robotics (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.2k citations), Computer Vision and Pattern Recognition (1.7k citations) and Media Technology (361 citations). Qinggang Meng has collaborated with scholars based in United Kingdom, China and Malaysia. Frequent co-authors include Kechen Song, Yunhui Yan, Yu He, P.W.H. Chung, Jiachen Yang, Baihua Li, Tingwen Huang, Bin Jiang, Amanda Whitbrook and Hongwen Dong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

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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