T.X. Han

439 citations
14 papers · 305 · h-index 8

Impact in

Papers in

T.X. Han

14 papers receiving 289 citations

Peers

T.X. Han
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 249
  • Human-Computer Interaction 20
  • Signal Processing 22
  • Automotive Engineering 24
  • Artificial Intelligence 64
Replace Ka Keung Lee with:
Ka Keung Lee Hong Kong
Arnaldo J. Abrantes Portugal
Matthias Eichner Germany
Sikandar Amin Germany
İbrahim Furkan İnce Türkiye
Guang Han China
Carlos Orrite Spain
Tapas Badal India
Biying Fu Germany
T.X. Han relative to Ka Keung Lee Hong Kong Ka Keung Lee's profile →
Citations per field
00.5×1.5×
Ka Keung Lee · 1×
Citations per year

Countries citing papers authored by T.X. Han

Since Specialization
Citations

This map shows the geographic impact of T.X. 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 T.X. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.X. Han more than expected).

Fields of papers citing papers by T.X. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T.X. Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T.X. Han Line = papers co-authored together T.X. Han links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200896
2 201164
3 200938
4 201225
5 201222
6 200621
7 201010
8 20059
9
Performance Evaluation of SIFT-Based Descriptors for Object Recognition
20137
10 20064
11 20034
12 20052
13 20062
14 20231

About T.X. Han

T.X. Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Molecular Biology and General Health Professions, having authored 14 papers that have together received 305 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Vision and Imaging (4 papers), Human Pose and Action Recognition (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Face recognition and analysis (2 papers), Gait Recognition and Analysis (2 papers), Image Enhancement Techniques (2 papers) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (249 citations), Human-Computer Interaction (20 citations), Signal Processing (22 citations), Automotive Engineering (24 citations) and Artificial Intelligence (64 citations). T.X. Han has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Thomas S. Huang, James M. Keller, Zhihai He, Xi Chen, Stephen Lin, Yanwu Xu, Dong Xu, Xianbin Cao, Xuelong Li and Xiaoyu Wang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Journal of Media Literacy Education, International Journal of Knowledge-based and Intelligent Engineering Systems and Internet Technology Letters.

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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