Meiqing Wang

875 total citations
70 papers, 544 citations indexed

About

Meiqing Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Meiqing Wang has authored 70 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Meiqing Wang's work include Medical Image Segmentation Techniques (9 papers), Image and Object Detection Techniques (9 papers) and Mathematical Dynamics and Fractals (8 papers). Meiqing Wang is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Image and Object Detection Techniques (9 papers) and Mathematical Dynamics and Fractals (8 papers). Meiqing Wang collaborates with scholars based in China, United Kingdom and Singapore. Meiqing Wang's co-authors include Xiaochen Zheng, Joaquín Ordieres‐Meré, Hang Cheng, Fei Chen, Choi-Hong Lai, Ximeng Liu, Huaxiong Wang, Fang Yan, Yayu Liu and Ming–Hsuan Yang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Access.

In The Last Decade

Meiqing Wang

64 papers receiving 518 citations

Peers

Meiqing Wang
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 217
  • Artificial Intelligence 164
  • Electrical and Electronic Engineering 61
  • Mathematical Physics 60
  • Computer Networks and Communications 58
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Citations per field, relative to Meiqing Wang
Meiqing Wang · 1×
Citations per year, relative to Meiqing Wang
Meiqing Wang · 1×

Countries citing papers authored by Meiqing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meiqing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiqing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Meiqing Wang. A scholar is included among the top collaborators of Meiqing Wang 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 Meiqing Wang. Meiqing Wang 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 1
2 0
3 0
4 5
5 2
6 4
7 3
8 42
9 0
10 1
11 1
12 27
13 5
14
Research on the reliability information management system for aerospace products
0
15 1
16
An image matching algorithm base on Harris and improved SIFT algorithm
3
17 2
18 16
19
VSA-bades Fractal Image Compression.
2
20 5

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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