Minglang Qiao

26 total papers · 633 total citations
14 papers, 277 citations indexed

About

Minglang Qiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Minglang Qiao has authored 14 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Human-Computer Interaction. Recurrent topics in Minglang Qiao's work include Visual Attention and Saliency Detection (7 papers), Image and Video Quality Assessment (4 papers) and Neural Networks and Applications (3 papers). Minglang Qiao is often cited by papers focused on Visual Attention and Saliency Detection (7 papers), Image and Video Quality Assessment (4 papers) and Neural Networks and Applications (3 papers). Minglang Qiao collaborates with scholars based in China, United States and Canada. Minglang Qiao's co-authors include Mai Xu, Zulin Wang, Yuhang Song, Jianyi Wang, Liangyu Huo, Ali Borji, Peng Lei, Lai Jiang, Shi-Jie Wen and Yunjin Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Minglang Qiao

13 papers receiving 272 citations

Author Peers

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

Author						Papers	Cites
Minglang Qiao	213	72	35	31	28	14	277
Habib Khan	104 0.5×	35 0.5×	24 0.7×	15 0.5×	18 0.6×	15	310
Vamsidhar Reddy Gaddam	259 1.2×	111 1.5×	14 0.4×	14 0.5×	9 0.3×	17	324
Muhtahir O. Oloyede	180 0.8×	127 1.8×	24 0.7×	9 0.3×	12 0.4×	11	270
Jinsoo Choi	133 0.6×	28 0.4×	14 0.4×	21 0.7×	28 1.0×	23	171
Iván Huerta	229 1.1×	30 0.4×	17 0.5×	22 0.7×	21 0.8×	14	268
Chieteuk Ahn	193 0.9×	44 0.6×	50 1.4×	8 0.3×	85 3.0×	23	294
Vinod Kumar Malamal Vadakital	212 1.0×	128 1.8×	38 1.1×	12 0.4×	39 1.4×	20	279
Savvas Argyropoulos	250 1.2×	163 2.3×	17 0.5×	33 1.1×	50 1.8×	24	322
Xavier Marichal	274 1.3×	20 0.3×	95 2.7×	45 1.5×	11 0.4×	20	310
M. Tanimoto	238 1.1×	141 2.0×	23 0.7×	9 0.3×	48 1.7×	21	311

Countries citing papers authored by Minglang Qiao

Since Specialization

Citations

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

Fields of papers citing papers by Minglang Qiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minglang Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Minglang Qiao. A scholar is included among the top collaborators of Minglang 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 Minglang Qiao. Minglang Qiao 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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