Tengda Han

About

Tengda Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Tengda Han has authored 7 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Tengda Han’s work include Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (3 papers). Tengda Han is often cited by papers focused on Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (3 papers). Tengda Han collaborates with scholars based in United Kingdom, China and Australia. Tengda Han's co-authors include Andrew Zisserman, Weidi Xie, Max Bain, Jaesung Huh, Anoop Cherian, Stephen Jay Gould, Arsha Nagrani, Gül Varol, Yuki Asano and Andrew Zisserman and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Tengda Han i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

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.

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).

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.

Explore authors with similar magnitude of impact