Mingqian Tang

38 total papers · 565 total citations
13 papers, 238 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 238 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, Singapore and United States. Mingqian Tang's co-authors include Rong Jin, Yiliang Lv, Xiangteng He, Nong Sang, Zhiwu Qing, Xiang Wang, Changxin Gao, Shiwei Zhang, Jing Liu and Ziyuan Huang 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 235 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mingqian Tang	189	140	26	12	11	13	238
Vivek Sharma	189 1.0×	117 0.8×	55 2.1×	13 1.1×	24 2.2×	9	238
Zhanning Gao	231 1.2×	122 0.9×	23 0.9×	15 1.3×	7 0.6×	20	257
Xuanchong Li	237 1.3×	131 0.9×	48 1.8×	8 0.7×	18 1.6×	10	268
Sheng Yu	108 0.6×	74 0.5×	35 1.3×	4 0.3×	14 1.3×	10	220
Sina Honari	134 0.7×	45 0.3×	25 1.0×	24 2.0×	21 1.9×	15	161
Alexandros Stergiou	113 0.6×	68 0.5×	21 0.8×	3 0.3×	16 1.5×	13	156
Pyry Matikainen	182 1.0×	91 0.7×	40 1.5×	5 0.4×	28 2.5×	7	212
Dezhao Luo	255 1.3×	150 1.1×	21 0.8×	8 0.7×	4 0.4×	10	281
Haisheng Su	248 1.3×	164 1.2×	55 2.1×	15 1.3×	23 2.1×	7	259
Daochang Liu	213 1.1×	139 1.0×	56 2.2×	18 1.5×	8 0.7×	11	264

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

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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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