Meina Qiao

1.0k citations
12 papers · 680 indexed · 1 hit paper · h-index 8
Co-authors
Hichem SnoussiTian WangYang ChenCe LiZhiwei LinZhe LiuChang ChoiYi Yang
Topics
Video Surveillance and Tracking Methods (6 papers)Anomaly Detection Techniques and Applications (6 papers)Human Pose and Action Recognition (4 papers)
Partner nations
ChinaFranceUnited States

In The Last Decade

Meina Qiao

12 papers receiving 658 citations

Hit Papers

A fast and robust convolutional neural network-based defe...20172026202020232017100200300

Peers

Meina Qiao
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 317
  • Industrial and Manufacturing Engineering 303
  • Artificial Intelligence 235
  • Computer Networks and Communications 116
  • Mechanical Engineering 108
Replace Xiao Lu with:
Xiao Lu China
Tianyuan Liu China
Jingming Xie China
Shuai Zheng China
Leopoldo Armesto Spain
Pavol Božek Slovakia
Rômulo Gonçalves Lins Brazil
Yinhui Ao China
Shaowei Liu China
Yong Tao China
Meina Qiao relative to Xiao Lu China Xiao Lu's profile →
Citations per field
00.5×2.7×
Xiao Lu · 1×
Citations per year

Countries citing papers authored by Meina Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Meina Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meina Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Meina Qiao. A scholar is included among the top collaborators of Meina Qiao 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 Meina Qiao. Meina Qiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 21
3 21
4 20
5 1
6 66
7 113
8
A fast and robust convolutional neural network-based defect detection model in product quality controlbreakdown →
352
9 43
10 34
11 6
12 2

About Meina Qiao

Meina Qiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Physical Therapy, Sports Therapy and Rehabilitation, having authored 12 papers that have together received 680 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (303 citations), Computer Vision and Pattern Recognition (317 citations) and Artificial Intelligence (235 citations). Meina Qiao has collaborated with scholars based in China, France and United States. Frequent co-authors include Hichem Snoussi, Tian Wang, Yang Chen, Tian Wang, Ce Li, Zhiwei Lin, Zhe Liu, Chang Choi, Yi Yang and Mingjie Zhang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE/ACM Transactions on Networking and The International Journal of Advanced Manufacturing Technology.

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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