Yan Dong

61 total papers · 621 total citations
35 papers, 368 citations indexed

About

Yan Dong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Yan Dong has authored 35 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Yan Dong's work include Industrial Vision Systems and Defect Detection (12 papers), Image Processing Techniques and Applications (12 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Yan Dong is often cited by papers focused on Industrial Vision Systems and Defect Detection (12 papers), Image Processing Techniques and Applications (12 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Yan Dong collaborates with scholars based in China, United States and United Kingdom. Yan Dong's co-authors include Chunlei Li, Zhoufeng Liu, Xingshi He, Qingqing Zhang, Shanliang Liu, Dongya Wu, Boyang Qu, Guangshuai Gao, Xiaohong Su and Yongsheng Zhu and has published in prestigious journals such as IEEE Access, Smart Materials and Structures and Signal Processing.

In The Last Decade

Yan Dong

32 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Yan Dong 161 156 75 58 55 35 368
Matti Niskanen 186 1.2× 134 0.9× 41 0.5× 26 0.4× 40 0.7× 20 360
Lian Zou 202 1.3× 68 0.4× 111 1.5× 21 0.4× 28 0.5× 42 405
Vilas H. Gaidhane 233 1.4× 86 0.6× 90 1.2× 49 0.8× 42 0.8× 40 382
Xuewu Zhang 221 1.4× 155 1.0× 80 1.1× 54 0.9× 28 0.5× 34 421
Xi Yang 103 0.6× 125 0.8× 38 0.5× 62 1.1× 54 1.0× 25 358
Flavio Piccoli 155 1.0× 99 0.6× 67 0.9× 28 0.5× 139 2.5× 20 407
Xianli Lang 202 1.3× 120 0.8× 54 0.7× 50 0.9× 28 0.5× 23 442
Radek Mařík 173 1.1× 147 0.9× 36 0.5× 46 0.8× 18 0.3× 37 344
Xiaochen Liu 139 0.9× 25 0.2× 37 0.5× 70 1.2× 51 0.9× 37 341
Dan Li 173 1.1× 223 1.4× 21 0.3× 40 0.7× 24 0.4× 27 360

Countries citing papers authored by Yan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Dong

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