Qi Qi

24 total papers · 838 total citations
15 papers, 577 citations indexed

About

Qi Qi is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Qi Qi has authored 15 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Cognitive Neuroscience. Recurrent topics in Qi Qi's work include Image Enhancement Techniques (10 papers), Advanced Image Processing Techniques (7 papers) and Image and Signal Denoising Methods (5 papers). Qi Qi is often cited by papers focused on Image Enhancement Techniques (10 papers), Advanced Image Processing Techniques (7 papers) and Image and Signal Denoising Methods (5 papers). Qi Qi collaborates with scholars based in China, Canada and United States. Qi Qi's co-authors include Kunqian Li, Kun Sun, Dalei Song, Guojia Hou, Haiyong Zheng, Xiang Gao, Zheng-Jun Zha, Q. M. Jonathan Wu, Xueyang Fu and Xinghao Ding and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Industrial & Engineering Chemistry Research.

In The Last Decade

Qi Qi

14 papers receiving 569 citations

Hit Papers

SGUIE-Net: Semantic Atten... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Qi Qi 518 187 43 28 27 15 577
Shuzhou Yang 555 1.1× 186 1.0× 37 0.9× 26 0.9× 35 1.3× 9 617
Xueyan Ding 504 1.0× 247 1.3× 37 0.9× 28 1.0× 50 1.9× 25 612
Kashif Iqbal 632 1.2× 278 1.5× 25 0.6× 51 1.8× 30 1.1× 9 682
Ling-Hao Han 514 1.0× 174 0.9× 20 0.5× 14 0.5× 19 0.7× 10 567
Chia-Hung Yeh 472 0.9× 93 0.5× 36 0.8× 53 1.9× 11 0.4× 30 563
Keming Cao 629 1.2× 282 1.5× 21 0.5× 29 1.0× 22 0.8× 6 693
Prashant W. Patil 526 1.0× 131 0.7× 9 0.2× 12 0.4× 14 0.5× 27 565
Chinmaya Panigrahy 327 0.6× 318 1.7× 3 0.1× 22 0.8× 56 2.1× 18 584
Stephan Didas 376 0.7× 88 0.5× 4 0.1× 7 0.3× 72 2.7× 18 543
Zhihua Liu 433 0.8× 56 0.3× 40 0.9× 36 1.3× 51 1.9× 22 611

Countries citing papers authored by Qi Qi

Since Specialization
Citations

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

Fields of papers citing papers by Qi Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Qi

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