Jia Yan

53 total papers · 1.4k total citations
35 papers, 856 citations indexed

About

Jia Yan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Jia Yan has authored 35 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 3 papers in Signal Processing. Recurrent topics in Jia Yan's work include Advanced Image Fusion Techniques (11 papers), Image and Video Quality Assessment (10 papers) and Image Enhancement Techniques (8 papers). Jia Yan is often cited by papers focused on Advanced Image Fusion Techniques (11 papers), Image and Video Quality Assessment (10 papers) and Image Enhancement Techniques (8 papers). Jia Yan collaborates with scholars based in China, United States and Canada. Jia Yan's co-authors include Dexiang Deng, Weixia Zhang, Zhou Wang, Kede Ma, Lian Zou, Wenxuan Shi, Cien Fan, Yifeng Liu, Jie Li and Tao Qu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Jia Yan

32 papers receiving 832 citations

Hit Papers

Blind Image Quality Asses... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jia Yan 671 361 57 55 49 35 856
K. S. Sim 651 1.0× 329 0.9× 43 0.8× 62 1.1× 49 1.0× 66 907
Rony Ferzli 695 1.0× 429 1.2× 42 0.7× 67 1.2× 21 0.4× 29 900
Wentao Liu 796 1.2× 381 1.1× 79 1.4× 39 0.7× 50 1.0× 29 1.0k
T.R. Reed 643 1.0× 196 0.5× 109 1.9× 45 0.8× 52 1.1× 52 992
Ki-Sang Hong 778 1.2× 243 0.7× 74 1.3× 27 0.5× 59 1.2× 57 999
Guohou Li 683 1.0× 296 0.8× 31 0.5× 29 0.5× 35 0.7× 29 933
Weixia Zhang 838 1.2× 427 1.2× 77 1.4× 28 0.5× 40 0.8× 22 970
Dehuan Zhang 784 1.2× 345 1.0× 32 0.6× 46 0.8× 15 0.3× 37 983
Min Liu 679 1.0× 315 0.9× 56 1.0× 21 0.4× 27 0.6× 31 791
Da Yang 507 0.8× 127 0.4× 116 2.0× 43 0.8× 28 0.6× 40 827

Countries citing papers authored by Jia Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jia Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Yan

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