Tian-Xing Xu

11 papers receiving 1.5k citations

Hit Papers

Attention mechanisms in computer vision: A survey202220262023202420224008001.2k

Peers

Tian-Xing Xu
Comparison fields: 5 of 137
  • Computer Vision and Pattern Recognition 706
  • Artificial Intelligence 347
  • Media Technology 205
  • Radiology, Nuclear Medicine and Imaging 128
  • Aerospace Engineering 124
Replace Zichen Zhang with:
Zichen Zhang China
Yu-Bin Yang China
Pengfei Chen China
Ard Oerlemans Netherlands
Quan Zhou China
Syed Afaq Ali Shah Australia
Zehua Huang China
Zihang Jiang China
Ralph R. Martin United Kingdom
Dipti Prasad Mukherjee India
Tian-Xing Xu relative to Zichen Zhang China Zichen Zhang's profile →
Citations per field
00.5×1.5×
Zichen Zhang · 1×
Citations per year

Countries citing papers authored by Tian-Xing Xu

Since Specialization
Citations

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

Fields of papers citing papers by Tian-Xing Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian-Xing Xu. 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 Tian-Xing Xu. The network helps show where Tian-Xing Xu may publish in the future.

Co-authorship network of co-authors of Tian-Xing Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Tian-Xing Xu. A scholar is included among the top collaborators of Tian-Xing Xu 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 Tian-Xing Xu. Tian-Xing Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 22
3 22
4 1
5 9
6
Attention mechanisms in computer vision: A surveybreakdown →
1465
7 2
8 2
9 0
10 1
11 6
12
[Correlation between Pet-CO2 and PaCO2 in morbidly obese patients during anesthesia for laparoscopic gastric bypass surgery].
1

About Tian-Xing Xu

Tian-Xing Xu is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (3 papers), Visual Attention and Saliency Detection (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (706 citations), Media Technology (205 citations) and Artificial Intelligence (347 citations). Tian-Xing Xu has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Song–Hai Zhang, Meng-Hao Guo, Zheng-Ning Liu, Peng-Tao Jiang, Tai‐Jiang Mu, Ming‐Ming Cheng, Ralph R. Martin, Shi‐Min Hu, Jiangjiang Liu and Yu‐Kun Lai. Their work appears in journals such as Saudi Journal of Biological Sciences, Computational Visual Media and Virtual Reality & Intelligent Hardware.

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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