Yong Dou

4.4k citations
263 papers · 2.9k · h-index 28

Impact in

Papers in

Yong Dou

236 papers receiving 2.8k citations

Peers

Yong Dou
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 1.3k
  • Hardware and Architecture 351
  • Media Technology 368
  • Artificial Intelligence 997
  • Computational Mathematics 16
Replace Fan Yang with:
Fan Yang China
Mu Li China
Adam Coates United States
Li Zhang China
Sheng‐De Wang Taiwan
Ke Yang China
Jing Chen China
Sebastian Nowozin United Kingdom
Xiao Bai China
Manish Kumar India
Yong Dou relative to Fan Yang China Fan Yang's profile →
Citations per field
00.5×1.5×1.8×
Fan Yang · 1×
Citations per year

Countries citing papers authored by Yong Dou

Since Specialization
Citations

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

Fields of papers citing papers by Yong Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yong Dou, 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 Yong Dou Line = papers co-authored together Yong Dou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005151
2 2015104
3 201997
4 201792
5 201788
6 201784
7
Multiple kernel k -means clustering with matrix-induced regularization
201678
8 201678
9 201573
10 201770
11 201960
12 201760
13 201653
14 201851
15 201949
16
Multiple kernel clustering with local kernel alignment maximization
201638
17 201637
18 201637
19 201537
20 201635

About Yong Dou

Yong Dou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 263 papers that have together received 2.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (39 papers), Advanced Neural Network Applications (35 papers), Advanced Image and Video Retrieval Techniques (23 papers), Face and Expression Recognition (22 papers), Embedded Systems Design Techniques (20 papers), Interconnection Networks and Systems (18 papers), Video Surveillance and Tracking Methods (18 papers) and Machine Learning and ELM (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Hardware and Architecture (351 citations), Media Technology (368 citations), Artificial Intelligence (997 citations) and Computational Mathematics (16 citations). Yong Dou has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xinwang Liu, Qi Lv, Fei Xia, Ke Yang, Yuanwu Lei, Yueqing Wang, Jingfei Jiang, Jianping Yin, En Zhu and Dongsheng Li. Their work appears in journals such as Neurocomputing, IEEE Access, Computational Intelligence and Neuroscience, Electronics and IEEE Signal Processing 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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