Xintong Han

1.8k citations
27 papers · 656 indexed · h-index 10
Topics
Generative Adversarial Networks and Image Synthesis (6 papers)Computer Graphics and Visualization Techniques (4 papers)Social Media and Politics (3 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in ImmunologyACM Transactions on Graphics

In The Last Decade

Xintong Han

20 papers receiving 631 citations

Peers

Xintong Han
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 532
  • Signal Processing 109
  • Computational Mechanics 93
  • Computer Graphics and Computer-Aided Design 92
  • Control and Systems Engineering 55
Replace Yichun Shi with:
Yichun Shi United States
Yuying Ge China
Yuval Alaluf Israel
Duanqing Xu China
Rinon Gal Israel
Yuheng Li United States
Or Patashnik Israel
Ayan Kumar Bhunia United Kingdom
Chun-Hao P. Huang Germany
Xintong Han relative to Yichun Shi United States Yichun Shi's profile →
Citations per field
00.5×1.5×2.0×
Yichun Shi · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 8
5 0
6 1
7 9
8 0
9 1
10 1
11 9
12 4
13 10
14 1
15 13
16 146
17 187
18 155
19 53
20 25

About Xintong Han

Xintong Han is a scholar working on Computer Graphics and Computer-Aided Design, Communication and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 656 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Computer Graphics and Visualization Techniques (4 papers) and Social Media and Politics (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (92 citations), Computer Vision and Pattern Recognition (532 citations) and Signal Processing (109 citations). Xintong Han has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Matthew R. Scott, Weilin Huang, Xiaojun Hu, Yang Zhou, Eli Shechtman, Jose Echevarria, Dingzeyu Li, Evangelos Kalogerakis, Jing Liao and Hongyu Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and ACM Transactions on Graphics.

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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