Qi Han

37 total papers · 660 total citations
14 papers, 351 citations indexed

About

Qi Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Qi Han has authored 14 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Qi Han's work include Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Qi Han is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Qi Han collaborates with scholars based in China, France and Egypt. Qi Han's co-authors include Ming‐Ming Cheng, Jun Xu, Yi Zhang, Kai Zhao, Pai Peng, Shanghua Gao, Duo Li, Liang Wang, Zhongyu Li and Yunsheng Fan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Sensors Journal.

In The Last Decade

Qi Han

12 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Qi Han 271 52 47 46 40 14 351
Songyuan Li 283 1.0× 91 1.8× 36 0.8× 27 0.6× 39 1.0× 20 387
Shuhan Chen 247 0.9× 52 1.0× 43 0.9× 27 0.6× 51 1.3× 17 314
Qian He 298 1.1× 20 0.4× 92 2.0× 78 1.7× 34 0.8× 8 387
Kan Huang 259 1.0× 30 0.6× 54 1.1× 49 1.1× 39 1.0× 29 385
Çağlar Aytekin 223 0.8× 76 1.5× 56 1.2× 12 0.3× 23 0.6× 20 383
Xiaohong Qian 289 1.1× 42 0.8× 84 1.8× 28 0.6× 11 0.3× 25 393
Niklas Bergström 173 0.6× 35 0.7× 17 0.4× 93 2.0× 18 0.5× 26 317
Lv Tang 257 0.9× 52 1.0× 33 0.7× 29 0.6× 22 0.6× 28 372
Zaiyang Yu 141 0.5× 63 1.2× 25 0.5× 22 0.5× 25 0.6× 20 303
Wenkai Chen 182 0.7× 67 1.3× 45 1.0× 66 1.4× 16 0.4× 17 389

Countries citing papers authored by Qi Han

Since Specialization
Citations

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

Fields of papers citing papers by Qi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Han

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