Mingqian Tang

570 total citations
13 papers, 242 citations indexed

About

Mingqian Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Marketing. According to data from OpenAlex, Mingqian Tang has authored 13 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Marketing. Recurrent topics in Mingqian Tang's work include Multimodal Machine Learning Applications (7 papers), Human Pose and Action Recognition (7 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Mingqian Tang is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Human Pose and Action Recognition (7 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Mingqian Tang collaborates with scholars based in China, United States and Singapore. Mingqian Tang's co-authors include Rong Jin, Xiangteng He, Yiliang Lv, Nong Sang, Zhiwu Qing, Changxin Gao, Xiang Wang, Shiwei Zhang, Ziyuan Huang and Peng Wu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Mingqian Tang

13 papers receiving 239 citations

Peers

Mingqian Tang
Comparison fields: 5 of 31
  • Computer Vision and Pattern Recognition 193
  • Artificial Intelligence 142
  • Biomedical Engineering 28
  • Endocrinology, Diabetes and Metabolism 12
  • Human-Computer Interaction 11
Replace Zhanning Gao with:
Zhanning Gao China
Dan Kondratyuk United States
Xuanchong Li United States
Yunlu Xu China
Pyry Matikainen United States
Lucas Pascotti Valem Brazil
Sina Honari Switzerland
Haisheng Su China
Dezhao Luo China
Yujie Zhong China
Zhanning Gao China View profile →
Citations per field, relative to Mingqian Tang
Mingqian Tang · 1×
Citations per year, relative to Mingqian Tang
Mingqian Tang · 1×

Countries citing papers authored by Mingqian Tang

Since Specialization
Citations

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

Fields of papers citing papers by Mingqian Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingqian Tang

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 2
2 15
3 10
4 9
5 81
6 16
7 1
8 3
9 15
10 37
11 12
12 37
13 4

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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2026