Changjun Zhou

1.0k total citations
68 papers, 664 citations indexed

About

Changjun Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Changjun Zhou has authored 68 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 17 papers in Molecular Biology. Recurrent topics in Changjun Zhou's work include Metaheuristic Optimization Algorithms Research (13 papers), Face and Expression Recognition (9 papers) and DNA and Biological Computing (8 papers). Changjun Zhou is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Face and Expression Recognition (9 papers) and DNA and Biological Computing (8 papers). Changjun Zhou collaborates with scholars based in China, Australia and United States. Changjun Zhou's co-authors include Qiang Zhang, Xiong Chen, Donglin Zhu, Xiaopeng Wei, Donglin Zhu, Lan Wang, Jiankai Xue, Siwei Wang, Liping Shen and Liyuan Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.

In The Last Decade

Changjun Zhou

63 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changjun Zhou China 13 245 213 119 109 90 68 664
Patrick S. P. Wang United States 17 139 0.6× 572 2.7× 84 0.7× 145 1.3× 70 0.8× 73 844
Aznul Qalid Md Sabri Malaysia 15 252 1.0× 173 0.8× 36 0.3× 61 0.6× 39 0.4× 44 697
Ibrahim Venkat Malaysia 13 81 0.3× 178 0.8× 34 0.3× 40 0.4× 70 0.8× 49 469
Satoru Hayamizu Japan 19 515 2.1× 323 1.5× 71 0.6× 472 4.3× 92 1.0× 108 1.2k
Yong-Guk Kim South Korea 13 165 0.7× 208 1.0× 94 0.8× 33 0.3× 34 0.4× 59 602
Ranjeet Kumar Rout India 14 113 0.5× 260 1.2× 115 1.0× 96 0.9× 75 0.8× 62 591
Mohit Jain India 6 522 2.1× 100 0.5× 50 0.4× 30 0.3× 18 0.2× 9 1.0k
Huarong Xu China 12 302 1.2× 343 1.6× 19 0.2× 28 0.3× 15 0.2× 28 777
Javier de Lope Spain 14 139 0.6× 143 0.7× 57 0.5× 37 0.3× 6 0.1× 43 459
Wanting Ji China 15 211 0.9× 358 1.7× 41 0.3× 61 0.6× 7 0.1× 37 632

Countries citing papers authored by Changjun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Changjun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Changjun Zhou. A scholar is included among the top collaborators of Changjun Zhou 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 Changjun Zhou. Changjun Zhou 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.
2.
Ouyang, Chengtian, et al.. (2025). Federated Learning for Extreme Label Noise: Enhanced Knowledge Distillation and Particle Swarm Optimization. Electronics. 14(2). 366–366. 1 indexed citations
3.
Zhou, Changjun, et al.. (2024). P2AT: Pyramid pooling axial transformer for real-time semantic segmentation. Expert Systems with Applications. 255. 124610–124610. 12 indexed citations
4.
Zhu, Donglin, Jiaying Shen, Ian Li, et al.. (2024). Multi-strategy particle swarm optimization with adaptive forgetting for base station layout. Swarm and Evolutionary Computation. 91. 101737–101737. 13 indexed citations
5.
Zhou, Changjun, et al.. (2024). Real-time semantic segmentation for autonomous driving: A review of CNNs, Transformers, and Beyond. Journal of King Saud University - Computer and Information Sciences. 36(10). 102226–102226. 7 indexed citations
6.
Ouyang, Chengtian, et al.. (2024). Compound improved Harris hawks optimization for global and engineering optimization. Cluster Computing. 27(7). 9509–9568. 3 indexed citations
7.
Ge, Yong-Feng, et al.. (2024). CADIF-OSN: Detecting Cloned Accounts with Missing Profile Attributes on Online Social Networks. Victoria University Research Repository (Victoria University). 1795–1803.
8.
Zhu, Donglin, et al.. (2024). A Jaya algorithm based on self-adaptive method for parameters identification of photovoltaic cell and module. Cluster Computing. 28(2). 1 indexed citations
9.
Jin, Haiyan, et al.. (2024). Compressive sensing and DNA coding operation: Revolutionary approach to colour medical image compression‐encryption algorithm. IET Image Processing. 18(14). 4589–4606. 1 indexed citations
10.
Zhu, Donglin, et al.. (2024). Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging. Health Information Science and Systems. 12(1). 24–24. 10 indexed citations
11.
Chang, Liao, et al.. (2024). Integrated improved Harris hawks optimization for global and engineering optimization. Scientific Reports. 14(1). 7445–7445. 8 indexed citations
12.
Zhu, Donglin, et al.. (2023). Manta ray foraging optimization based on mechanics game and progressive learning for multiple optimization problems. Applied Soft Computing. 145. 110561–110561. 39 indexed citations
13.
Wang, Pengfei, et al.. (2023). Labeled graph partitioning scheme for distributed edge caching. Future Generation Computer Systems. 153. 492–504. 1 indexed citations
14.
Zhang, Wenyu, et al.. (2023). Improved Multi-Strategy Matrix Particle Swarm Optimization for DNA Sequence Design. Electronics. 12(3). 547–547. 5 indexed citations
15.
Huang, Xueyu, et al.. (2023). An Improved Sparrow Search Algorithm for Global Optimization with Customization-Based Mechanism. Axioms. 12(8). 767–767. 3 indexed citations
16.
Ouyang, Chengtian, Yongkang Gong, Donglin Zhu, & Changjun Zhou. (2023). Improved Whale Optimization Algorithm Based on Fusion Gravity Balance. Axioms. 12(7). 664–664. 3 indexed citations
17.
Zhang, Zhicong, et al.. (2023). Printed circuit board solder joint quality inspection based on lightweight classification network. SHILAP Revista de lepidopterología. 5(4). 3 indexed citations
18.
Wang, Siwei, et al.. (2023). DNA Sequence Optimization Design of Arithmetic Optimization Algorithm Based on Billiard Hitting Strategy. Interdisciplinary Sciences Computational Life Sciences. 15(2). 231–248. 9 indexed citations
19.
Zhu, Donglin, et al.. (2022). K-Means Segmentation of Underwater Image Based on Improved Manta Ray Algorithm. Computational Intelligence and Neuroscience. 2022. 1–26. 6 indexed citations
20.
Zhou, Changjun, Xiaopeng Wei, Qiang Zhang, & Xiao‐Yong Fang. (2010). Fisher’s linear discriminant (FLD) and support vector machine (SVM) in non-negative matrix factorization (NMF) residual space for face recognition. Optica Applicata. 40. 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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