Yan Han

33 total papers · 1.7k total citations
23 papers, 1.1k citations indexed

About

Yan Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yan Han has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Yan Han's work include Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers) and Financial Markets and Investment Strategies (3 papers). Yan Han is often cited by papers focused on Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers) and Financial Markets and Investment Strategies (3 papers). Yan Han collaborates with scholars based in China, Australia and Netherlands. Yan Han's co-authors include Yu Zhang, Li Zhang, Xiaolin Zhao, Yü Liu, Peng Sun, Xiao‐Guang Yue, Shunli Zhang, Lou Boves, Wei Liu and Xuefeng Shao and has published in prestigious journals such as The Annals of Statistics, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Yan Han

21 papers receiving 1.1k citations

Hit Papers

IFCNN: A general image fu... 2019 2026 2021 2023 2019 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. IFCNN: A general image fusion framework based on convolutional neural network
    2019 897 citations Yu Zhang, Yü Liu et al. Information Fusion profile →

Author Peers

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

Author Last Decade Papers Cites
Yan Han 863 690 204 98 83 23 1.1k
Mi Luo 133 0.2× 442 0.6× 71 0.3× 88 0.9× 205 2.5× 21 1.2k
Xinyi Zhang 343 0.4× 804 1.2× 31 0.2× 35 0.4× 95 1.1× 19 1.4k
Licheng Liu 378 0.4× 750 1.1× 31 0.2× 68 0.7× 287 3.5× 63 1.3k
Jiangtao Xie 178 0.2× 727 1.1× 69 0.3× 62 0.6× 468 5.6× 10 1.1k
Huan Yang 333 0.4× 886 1.3× 33 0.2× 54 0.6× 182 2.2× 31 1.2k
Xiaolin Li 118 0.1× 413 0.6× 38 0.2× 35 0.4× 243 2.9× 41 1.1k
Haibin Huang 255 0.3× 997 1.4× 145 0.7× 91 0.9× 110 1.3× 46 1.4k
Shin‐Jye Lee 241 0.3× 309 0.4× 68 0.3× 34 0.3× 243 2.9× 58 945
Fan Wang 63 0.1× 440 0.6× 82 0.4× 68 0.7× 147 1.8× 58 1.0k
Qiang Cheng 139 0.2× 478 0.7× 10 0.0× 40 0.4× 314 3.8× 53 935

Countries citing papers authored by Yan Han

Since Specialization
Citations

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

Fields of papers citing papers by Yan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Han. A scholar is included among the top collaborators of Yan Han 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 Yan Han. Yan Han 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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2026