Haizhou Wu

557 total citations
11 papers, 424 citations indexed

About

Haizhou Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Haizhou Wu has authored 11 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Haizhou Wu's work include Metaheuristic Optimization Algorithms Research (8 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Model Reduction and Neural Networks (3 papers). Haizhou Wu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Model Reduction and Neural Networks (3 papers). Haizhou Wu collaborates with scholars based in China and Egypt. Haizhou Wu's co-authors include Yongquan Zhou, Qifang Luo, Xuejun Liu, Mohamed Abdel-Baset, Songcan Chen, Rui Wang, Jian Yu, Zhipeng Wang, Xuejun Liu and Chao Jiang and has published in prestigious journals such as Applied Soft Computing, Knowledge-Based Systems and Computers & Fluids.

In The Last Decade

Haizhou Wu

10 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haizhou Wu China	9	159	126	113	99	57	11	424
Shengyang Luan China	14	102 0.6×	146 1.2×	50 0.4×	70 0.7×	49 0.9×	46	553
Pitikhate Sooraksa Thailand	14	94 0.6×	38 0.3×	63 0.6×	39 0.4×	124 2.2×	84	500
Xiuqiao Xiang China	11	185 1.2×	45 0.4×	31 0.3×	45 0.5×	78 1.4×	21	501
Vasileios Tzoumas United States	8	87 0.5×	31 0.2×	44 0.4×	162 1.6×	145 2.5×	22	476
Laurent Bako France	15	101 0.6×	80 0.6×	35 0.3×	24 0.2×	42 0.7×	53	909
Fenfen Xiong China	18	51 0.3×	53 0.4×	63 0.6×	291 2.9×	53 0.9×	52	781
Jin Xie China	14	235 1.5×	56 0.4×	49 0.4×	14 0.1×	58 1.0×	42	610
Maxim Tyan South Korea	11	37 0.2×	58 0.5×	28 0.2×	199 2.0×	50 0.9×	39	413
Tiantian Liu China	9	66 0.4×	205 1.6×	20 0.2×	28 0.3×	111 1.9×	20	525

Countries citing papers authored by Haizhou Wu

Since Specialization

Citations

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

Fields of papers citing papers by Haizhou Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haizhou Wu

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

All Works

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11 of 11 papers shown

Zhao, Ruxin, Jiajie Kang, Chang Liu, et al.. (2025). Data-driven evolutionary algorithms based on initialization selection strategies, POX crossover and multi-point random mutation for flexible job shop scheduling problems. Applied Soft Computing. 172. 112901–112901.

Wang, Zhipeng, et al.. (2022). A general deep transfer learning framework for predicting the flow field of airfoils with small data. Computers & Fluids. 251. 105738–105738. 36 indexed citations

Wu, Haizhou, et al.. (2021). A generative deep learning framework for airfoil flow field prediction with sparse data. Chinese Journal of Aeronautics. 35(1). 470–484. 43 indexed citations

Wu, Haizhou, et al.. (2019). A deep learning approach for efficiently and accurately evaluating the flow field of supercritical airfoils. Computers & Fluids. 198. 104393–104393. 100 indexed citations

Wu, Haizhou, et al.. (2018). Hybrid symbiotic organisms search algorithm for solving 0-1 knapsack problem. International Journal of Bio-Inspired Computation. 12(1). 23–23. 26 indexed citations

Zhou, Yongquan, Haizhou Wu, Qifang Luo, & Mohamed Abdel-Baset. (2018). Automatic data clustering using nature-inspired symbiotic organism search algorithm. Knowledge-Based Systems. 163. 546–557. 83 indexed citations

Abdel-Baset, Mohamed, et al.. (2017). Elite opposition-flower pollination algorithm for quadratic assignment problem. Journal of Intelligent & Fuzzy Systems. 33(2). 901–911. 19 indexed citations

Wu, Haizhou, et al.. (2017). A complex encoding flower pollination algorithm for constrained engineering optimisation problems. International Journal of Mathematical Modelling and Numerical Optimisation. 8(2). 108–108. 5 indexed citations

Zhou, Yongquan, et al.. (2017). A complex encoding flower pollination algorithm for constrained engineering optimisation problems. International Journal of Mathematical Modelling and Numerical Optimisation. 8(2). 108–108. 10 indexed citations

10.

Wu, Haizhou, et al.. (2016). Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm. Computational Intelligence and Neuroscience. 2016. 1–14. 58 indexed citations

11.

Wang, Rui, et al.. (2015). A hybrid flower pollination algorithm based modified randomized location for multi-threshold medical image segmentation. Bio-Medical Materials and Engineering. 26(1_suppl). S1345–51. 44 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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