Tengfei Xing

836 citations
15 papers · 226 indexed · h-index 7
Topics
Advanced Neural Network Applications (6 papers)Video Surveillance and Tracking Methods (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Tengfei Xing

15 papers receiving 216 citations

Peers

Tengfei Xing
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 82
  • Artificial Intelligence 50
  • Experimental and Cognitive Psychology 41
  • Signal Processing 32
  • Automotive Engineering 28
Replace M. Balasubramanian with:
M. Balasubramanian India
Abdelmajid Farchi Morocco
Mohamad Hoseyn Sigari Iran
Siyao Li China
Mingqiang Yang China
Hafeez Anwar Pakistan
Brian A. Smith United States
Runmin Liu China
Mohammed Awad United Arab Emirates
Tengfei Xing relative to M. Balasubramanian India M. Balasubramanian's profile →
Citations per field
00.5×6.4×
M. Balasubramanian · 1×
Citations per year

Countries citing papers authored by Tengfei Xing

Since Specialization
Citations

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

Fields of papers citing papers by Tengfei Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tengfei Xing

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 5
3 3
4 6
5 5
6 18
7 10
8 14
9 82
10 3
11 1
12 3
13 11
14 1
15 63

About Tengfei Xing

Tengfei Xing is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Human-Computer Interaction, having authored 15 papers that have together received 226 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (82 citations), Experimental and Cognitive Psychology (41 citations) and Signal Processing (32 citations). Tengfei Xing has collaborated with scholars based in China and United States. Frequent co-authors include Shuai Huang, Runbo Hu, Hua Chai, Sicheng Zhao, Pengfei Xu, Yunsheng Ma, Yang Gu, Jufeng Yang, Kurt Keutzer and Xuanmeng He. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Alloys and Compounds and Information Fusion.

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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