Xintong Han

65 total papers · 1.8k total citations
26 papers, 638 citations indexed

About

Xintong Han is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Information Systems. According to data from OpenAlex, Xintong Han has authored 26 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Molecular Biology and 4 papers in Information Systems. Recurrent topics in Xintong Han's work include Generative Adversarial Networks and Image Synthesis (6 papers), Computer Graphics and Visualization Techniques (4 papers) and Social Media and Politics (3 papers). Xintong Han is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (6 papers), Computer Graphics and Visualization Techniques (4 papers) and Social Media and Politics (3 papers). Xintong Han collaborates with scholars based in China, Canada and United Kingdom. Xintong Han's co-authors include Weilin Huang, Matthew R. Scott, Xiaojun Hu, Yang Zhou, Evangelos Kalogerakis, Dingzeyu Li, Jose Echevarria, Eli Shechtman, Hongyu Liu and Ziyu Wan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and ACM Transactions on Graphics.

In The Last Decade

Xintong Han

19 papers receiving 615 citations

Author Peers

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

Author Last Decade Papers Cites
Xintong Han 524 109 93 89 55 26 638
Yichun Shi 398 0.8× 85 0.8× 97 1.0× 78 0.9× 33 0.6× 25 556
Yang Zhou 451 0.9× 206 1.9× 105 1.1× 72 0.8× 152 2.8× 27 654
Lele Chen 566 1.1× 233 2.1× 110 1.2× 114 1.3× 61 1.1× 30 735
Rinon Gal 650 1.2× 50 0.5× 79 0.8× 165 1.9× 42 0.8× 20 784
Jie Li 458 0.9× 81 0.7× 66 0.7× 34 0.4× 14 0.3× 39 618
Natalia Neverova 331 0.6× 39 0.4× 123 1.3× 45 0.5× 64 1.2× 35 602
Lincheng Li 570 1.1× 193 1.8× 44 0.5× 29 0.3× 89 1.6× 38 717
Gengshan Yang 552 1.1× 36 0.3× 132 1.4× 84 0.9× 55 1.0× 17 655
Edouard Lamboray 526 1.0× 102 0.9× 92 1.0× 248 2.8× 26 0.5× 18 640
Shiry Ginosar 454 0.9× 55 0.5× 58 0.6× 46 0.5× 91 1.7× 14 652

Countries citing papers authored by Xintong Han

Since Specialization
Citations

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

Fields of papers citing papers by Xintong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xintong Han

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