Teng Yu

63 total papers · 652 total citations
43 papers, 442 citations indexed

About

Teng Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Civil and Structural Engineering. According to data from OpenAlex, Teng Yu has authored 43 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 6 papers in Civil and Structural Engineering. Recurrent topics in Teng Yu's work include Image Enhancement Techniques (10 papers), Advanced Image Fusion Techniques (10 papers) and Advanced Image Processing Techniques (9 papers). Teng Yu is often cited by papers focused on Image Enhancement Techniques (10 papers), Advanced Image Fusion Techniques (10 papers) and Advanced Image Processing Techniques (9 papers). Teng Yu collaborates with scholars based in China, South Korea and United Kingdom. Teng Yu's co-authors include Hyunchul Shin, Chenglizhao Chen, Huan Yang, Guowei Yang, Yuchun Ma, Wayne Luk, Bo Feng, Haohuan Fu, Guangwen Yang and Pu Miao and has published in prestigious journals such as Construction and Building Materials, Magnetic Resonance in Medicine and IEEE Access.

In The Last Decade

Teng Yu

39 papers receiving 431 citations

Author Peers

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

Author Last Decade Papers Cites
Teng Yu 298 152 70 44 43 43 442
Zaifeng Shi 248 0.8× 108 0.7× 53 0.8× 27 0.6× 48 1.1× 61 428
Aditya Deshpande 247 0.8× 37 0.2× 72 1.0× 46 1.0× 9 0.2× 18 408
Xiaoqiang Guo 111 0.4× 41 0.3× 55 0.8× 19 0.4× 38 0.9× 60 385
Zhiwei Zhong 250 0.8× 87 0.6× 48 0.7× 37 0.8× 43 1.0× 44 427
Kai Chen 224 0.8× 51 0.3× 69 1.0× 39 0.9× 38 0.9× 46 465
Rakesh Ranjan 243 0.8× 109 0.7× 26 0.4× 26 0.6× 35 0.8× 52 468
Wenjun Zhang 261 0.9× 131 0.9× 51 0.7× 20 0.5× 20 0.5× 34 431
Nannan Li 152 0.5× 209 1.4× 34 0.5× 30 0.7× 80 1.9× 57 443
Pengyu Zhang 278 0.9× 47 0.3× 77 1.1× 38 0.9× 42 1.0× 37 452
Xiaohan Yang 132 0.4× 75 0.5× 53 0.8× 66 1.5× 24 0.6× 51 411

Countries citing papers authored by Teng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Teng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Yu

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