Zhang Yon

9.8k total citations · 6 hit papers
352 papers, 7.5k citations indexed

About

Zhang Yon is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhang Yon has authored 352 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Artificial Intelligence, 67 papers in Control and Systems Engineering and 66 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhang Yon's work include Metaheuristic Optimization Algorithms Research (73 papers), Advanced Multi-Objective Optimization Algorithms (51 papers) and Evolutionary Algorithms and Applications (31 papers). Zhang Yon is often cited by papers focused on Metaheuristic Optimization Algorithms Research (73 papers), Advanced Multi-Objective Optimization Algorithms (51 papers) and Evolutionary Algorithms and Applications (31 papers). Zhang Yon collaborates with scholars based in China, United States and Finland. Zhang Yon's co-authors include Dunwei Gong, Xiaoyan Sun, Xianfang Song, Jianhua Zhang, Ying Hu, Xiao‐Zhi Gao, Wanqiu Zhang, Dunwei Gong, Jianwei Cheng and Zhonghai Ding and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Zhang Yon

308 papers receiving 7.3k citations

Hit Papers

Binary differential evolution with self-lea... 2012 2026 2016 2021 2019 2012 2015 2020 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhang Yon China 46 3.9k 1.9k 1.6k 848 816 352 7.5k
Ahmed A. Ewees Egypt 48 4.5k 1.2× 1.3k 0.7× 1.5k 1.0× 701 0.8× 1.4k 1.7× 152 8.6k
Esmat Rashedi Iran 19 4.4k 1.1× 1.9k 1.0× 1.1k 0.7× 1.1k 1.3× 1.6k 2.0× 45 7.6k
Saeı̈d Saryazdi Iran 16 4.2k 1.1× 1.8k 1.0× 1.2k 0.8× 1.1k 1.3× 1.6k 1.9× 46 7.3k
Diego Oliva Mexico 49 4.6k 1.2× 1.3k 0.7× 1.8k 1.1× 717 0.8× 1.3k 1.6× 215 8.1k
Weiping Ding China 52 5.3k 1.4× 2.9k 1.5× 2.9k 1.9× 840 1.0× 655 0.8× 587 11.6k
Xizhao Wang China 53 5.6k 1.5× 3.1k 1.6× 2.3k 1.5× 925 1.1× 894 1.1× 366 10.7k
Ying Tan China 41 2.8k 0.7× 1.4k 0.7× 761 0.5× 607 0.7× 549 0.7× 352 6.0k
Patrick Siarry France 38 2.8k 0.7× 1.8k 1.0× 1.1k 0.7× 1.1k 1.3× 1.0k 1.3× 196 7.1k
Yongquan Zhou China 41 3.4k 0.9× 1.3k 0.7× 1.0k 0.7× 887 1.0× 821 1.0× 302 6.2k
Frank Hutter Germany 39 5.0k 1.3× 1.3k 0.7× 1.4k 0.9× 418 0.5× 1.0k 1.2× 109 10.1k

Countries citing papers authored by Zhang Yon

Since Specialization
Citations

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

Fields of papers citing papers by Zhang Yon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhang Yon

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

All Works

20 of 20 papers shown
1.
Gong, Dunwei, et al.. (2025). Acceptable cost-driven multivariate load forecasting for integrated coal mine energy systems. Applied Energy. 397. 126341–126341.
2.
Zhang, Wanqiu, et al.. (2024). A multiple surrogate-assisted hybrid evolutionary feature selection algorithm. Swarm and Evolutionary Computation. 92. 101809–101809. 1 indexed citations
3.
Li, Jian, et al.. (2024). Risk causation analysis and prevention strategy of working fluid systems based on accident data and complex network theory. Reliability Engineering & System Safety. 252. 110445–110445. 13 indexed citations
4.
Yon, Zhang, et al.. (2024). A two-stage frequency-domain generation algorithm based on differential evolution for black-box adversarial samples. Expert Systems with Applications. 249. 123741–123741. 3 indexed citations
5.
Zhou, Longyu, Zhang Yon, Haochong Chen, et al.. (2024). Soybean yield estimation and lodging classification based on UAV multi-source data and self-supervised contrastive learning. Computers and Electronics in Agriculture. 230. 109822–109822. 7 indexed citations
6.
Yon, Zhang, et al.. (2024). A Multitask Multiobjective Operation Optimization Method for Coal Mine Integrated Energy System. IEEE Transactions on Industrial Informatics. 20(9). 11149–11160. 6 indexed citations
7.
Sun, Xiaoyan, et al.. (2024). Linear Regression-Based Autonomous Intelligent Optimization for Constrained Multiobjective Problems. IEEE Transactions on Artificial Intelligence. 5(9). 4620–4634. 3 indexed citations
8.
Tai, Yu, et al.. (2023). Comprehensive analysis and evaluation of the geometric errors of the rotating axis of five-axis double-pendulum machine tools based on S-shaped samples. The International Journal of Advanced Manufacturing Technology. 129(11-12). 5135–5148. 1 indexed citations
10.
Yang, Yuguang, et al.. (2023). Long term 5G network traffic forecasting via modeling non-stationarity with deep learning. Communications Engineering. 2(1). 6 indexed citations
11.
Yon, Zhang. (2021). Power Knowledge Text Mining Based on FP-Growth Algorithm and GRNN. SHILAP Revista de lepidopterología.
12.
Hao, Guosheng, et al.. (2020). A Molecular Interactions-Based Social Learning Particle Swarm Optimization Algorithm. IEEE Access. 8. 135661–135674. 7 indexed citations
13.
Yon, Zhang, et al.. (2019). Broken Rotor Bar Fault Detection of Induction Motors Using a Joint Algorithm of Trust Region and Modified Bare-bones Particle Swarm Optimization. Chinese Journal of Mechanical Engineering. 32(1). 7 indexed citations
14.
Yon, Zhang, Shi Cheng, Yuhui Shi, Dunwei Gong, & Xinchao Zhao. (2019). Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm. Expert Systems with Applications. 137. 46–58. 171 indexed citations
15.
Yon, Zhang, et al.. (2018). IBPSO-Based MUSIC Algorithm for Broken Rotor Bars Fault Detection of Induction Motors. Chinese Journal of Mechanical Engineering. 31(1). 10 indexed citations
16.
Yon, Zhang. (2015). Layer bare-bones particle swarm optimization algorithm with few control parameters. Systems Engineering - Theory & Practice.
17.
Yon, Zhang. (2014). Research on the carbon emission evolution of land use and its influential factors of Chizhou City in Anhui Province. Zhongguo Nongye Daxue xuebao.
18.
Yon, Zhang. (2014). Effects of different light qualities on morphological and photosynthetic physiological parameters of soybean seedlings. Zhongguo youliao zuowu xuebao. 2 indexed citations
19.
Yon, Zhang, et al.. (2012). Least square estimation based mobile robot gas source localization in stable-airflow environment. Chinese Control Conference. 7000–7004. 4 indexed citations
20.
Yon, Zhang, et al.. (2007). Research on Fault Diagnosis Method Based on Local Wave Method-Rough Sets Theory-NN. Neiranji gongcheng. 2 indexed citations

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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