Junzhao Yu

1.5k total citations · 1 hit paper
12 papers, 1.2k citations indexed

About

Junzhao Yu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junzhao Yu has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junzhao Yu's work include Advanced Algorithms and Applications (7 papers), Face and Expression Recognition (4 papers) and Advanced Sensor and Control Systems (4 papers). Junzhao Yu is often cited by papers focused on Advanced Algorithms and Applications (7 papers), Face and Expression Recognition (4 papers) and Advanced Sensor and Control Systems (4 papers). Junzhao Yu collaborates with scholars based in China and Taiwan. Junzhao Yu's co-authors include Shifei Ding, Chunyang Su, Fengxiang Jin, Hui Li, Huajuan Huang, Xiekai Zhang, Huajuan Huang, Han Zhao, Han Zhao and Ru Nie and has published in prestigious journals such as Neural Computing and Applications, Artificial Intelligence Review and International Journal of Machine Learning and Cybernetics.

In The Last Decade

Junzhao Yu

12 papers receiving 1.1k citations

Hit Papers

An optimizing BP neural network algorithm based on geneti... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junzhao Yu China 8 399 215 196 174 120 12 1.2k
Chunyang Su China 11 378 0.9× 167 0.8× 117 0.6× 186 1.1× 134 1.1× 21 1.2k
A. K. Malik India 11 555 1.4× 120 0.6× 253 1.3× 158 0.9× 102 0.8× 15 1.5k
Guilherme A. Barreto Brazil 17 630 1.6× 350 1.6× 219 1.1× 230 1.3× 95 0.8× 106 1.4k
Eiji Mizutani Taiwan 10 727 1.8× 311 1.4× 179 0.9× 280 1.6× 128 1.1× 48 1.6k
Boriana L. Milenova United States 7 398 1.0× 170 0.8× 91 0.5× 132 0.8× 108 0.9× 11 1.1k
Hang Lei China 11 370 0.9× 87 0.4× 153 0.8× 162 0.9× 114 0.9× 68 1.4k
Dalwinder Singh India 10 420 1.1× 80 0.4× 164 0.8× 135 0.8× 106 0.9× 21 1.4k
Lawrence A. Klein United States 12 286 0.7× 261 1.2× 220 1.1× 219 1.3× 80 0.7× 37 1.3k
Erkan Beşdok Türkiye 19 630 1.6× 193 0.9× 468 2.4× 176 1.0× 74 0.6× 55 1.6k

Countries citing papers authored by Junzhao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Junzhao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junzhao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Junzhao Yu. A scholar is included among the top collaborators of Junzhao 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 Junzhao Yu. Junzhao Yu 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
1.
Ding, Shifei, Xiekai Zhang, & Junzhao Yu. (2015). Twin support vector machines based on fruit fly optimization algorithm. International Journal of Machine Learning and Cybernetics. 7(2). 193–203. 55 indexed citations
2.
Ding, Shifei, et al.. (2014). Polynomial Smooth Twin Support Vector Machines Based on Invasive Weed Optimization Algorithm. Journal of Computers. 9(5). 2 indexed citations
3.
Ding, Shifei, et al.. (2013). An overview on nonparallel hyperplane support vector machine algorithms. Neural Computing and Applications. 25(5). 975–982. 51 indexed citations
4.
Ding, Shifei, et al.. (2013). Twin Support Vector Machines Based on Quantum Particle Swarm Optimization. Journal of Software. 8(7). 6 indexed citations
5.
Ding, Shifei, Junzhao Yu, Huajuan Huang, & Han Zhao. (2013). Twin Support Vector Machines Based on Particle Swarm Optimization. Journal of Computers. 8(9). 19 indexed citations
6.
Ding, Shifei, Huajuan Huang, Junzhao Yu, & Han Zhao. (2013). Research on the hybrid models of granular computing and support vector machine. Artificial Intelligence Review. 43(4). 565–577. 23 indexed citations
7.
Ding, Shifei, et al.. (2012). A Support Vector Extraction Method Based on Clustering Membership. International Journal of Digital Content Technology and its Applications. 6(13). 1–10. 1 indexed citations
8.
Ding, Shifei, et al.. (2012). An overview on twin support vector machines. Artificial Intelligence Review. 42(2). 245–252. 81 indexed citations
9.
Ding, Shifei, et al.. (2012). A fast fuzzy support vector machine based on information granulation. Neural Computing and Applications. 23(S1). 139–144. 14 indexed citations
10.
Yu, Junzhao, et al.. (2012). Twin Support Vector Machines Based on Rough Sets. International Journal of Digital Content Technology and its Applications. 6(20). 493–500. 7 indexed citations
11.
Ding, Shifei, Hui Li, Chunyang Su, Junzhao Yu, & Fengxiang Jin. (2011). Evolutionary artificial neural networks: a review. Artificial Intelligence Review. 39(3). 251–260. 297 indexed citations
12.
Ding, Shifei, Chunyang Su, & Junzhao Yu. (2011). An optimizing BP neural network algorithm based on genetic algorithm. Artificial Intelligence Review. 36(2). 153–162. 597 indexed citations breakdown →

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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