Tengda Han

42 total papers · 3.0k total citations
7 papers, 148 citations indexed

About

Tengda Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Tengda Han has authored 7 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Civil and Structural Engineering. Recurrent topics in Tengda Han's work include Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Tengda Han is often cited by papers focused on Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Tengda Han collaborates with scholars based in United Kingdom, China and Australia. Tengda Han's co-authors include Andrew Zisserman, Max Bain, Jaesung Huh, Weidi Xie, Anoop Cherian, Sam Toyer, Stephen Jay Gould, Arsha Nagrani, Gül Varol and Andrew Zisserman and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Neural Information Processing Systems.

In The Last Decade

Tengda Han

7 papers receiving 144 citations

Author Peers

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

Author Last Decade Papers Cites
Tengda Han 78 75 31 11 8 7 148
Olivier Lebeltel 37 0.5× 84 1.1× 12 0.4× 8 0.7× 2 0.3× 9 138
Yake Wei 130 1.7× 108 1.4× 78 2.5× 17 1.5× 4 0.5× 8 246
Wayne Xiong 36 0.5× 170 2.3× 86 2.8× 9 0.8× 2 0.3× 5 231
Brendan Shillingford 93 1.2× 121 1.6× 153 4.9× 8 0.7× 4 0.5× 8 265
Alice Caplier 104 1.3× 27 0.4× 41 1.3× 20 1.8× 9 138
Khawar Mehmood 32 0.4× 222 3.0× 65 2.1× 17 1.5× 2 0.3× 8 290
Mahmoud Al Ismail 58 0.7× 84 1.1× 107 3.5× 19 1.7× 6 0.8× 5 185
Shraman Pramanick 66 0.8× 107 1.4× 15 0.5× 6 0.5× 3 0.4× 11 169
Dídac Surís 135 1.7× 85 1.1× 43 1.4× 6 0.5× 2 0.3× 9 192
Brian Dolhansky 147 1.9× 72 1.0× 28 0.9× 6 0.5× 8 209

Countries citing papers authored by Tengda Han

Since Specialization
Citations

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

Fields of papers citing papers by Tengda Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tengda Han

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