Miao Qi

92 total papers · 1.1k total citations
61 papers, 753 citations indexed

About

Miao Qi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Miao Qi has authored 61 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 13 papers in Artificial Intelligence. Recurrent topics in Miao Qi's work include Biometric Identification and Security (12 papers), Face and Expression Recognition (11 papers) and Video Surveillance and Tracking Methods (8 papers). Miao Qi is often cited by papers focused on Biometric Identification and Security (12 papers), Face and Expression Recognition (11 papers) and Video Surveillance and Tracking Methods (8 papers). Miao Qi collaborates with scholars based in China, United States and Denmark. Miao Qi's co-authors include Jun Kong, Jianzhong Wang, Yinghua Lu, Baoxue Zhang, Jun Kong, Di Liu, Hui Xu, Jing Gao, Yugen Yi and Mingjun Cai and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Miao Qi

58 papers receiving 722 citations

Author Peers

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

Author						Papers	Cites
Miao Qi	441	137	130	102	83	61	753
Yangxi Li	386 0.9×	56 0.4×	312 2.4×	19 0.2×	22 0.3×	52	791
Jie Chang	313 0.7×	29 0.2×	113 0.9×	141 1.4×	59 0.7×	50	765
Wei Dai	343 0.8×	129 0.9×	100 0.8×	42 0.4×	198 2.4×	91	816
Jingyu Hou	136 0.3×	91 0.7×	143 1.1×	335 3.3×	37 0.4×	79	681
Chunxia Zhang	224 0.5×	160 1.2×	224 1.7×	51 0.5×	38 0.5×	39	694
Trung-Nghia Le	695 1.6×	64 0.5×	98 0.8×	45 0.4×	17 0.2×	45	850
Xiaofeng Zou	142 0.3×	28 0.2×	200 1.5×	62 0.6×	57 0.7×	67	885
Mohamed Roushdy	331 0.8×	61 0.4×	383 2.9×	88 0.9×	64 0.8×	76	902
Tong Liu	123 0.3×	29 0.2×	364 2.8×	30 0.3×	65 0.8×	56	812
Mohammad Shoyaib	501 1.1×	169 1.2×	174 1.3×	61 0.6×	53 0.6×	48	804

Countries citing papers authored by Miao Qi

Since Specialization

Citations

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

Fields of papers citing papers by Miao Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Qi

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