Honghua Rao

950 total citations · 1 hit paper
19 papers, 624 citations indexed

About

Honghua Rao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Honghua Rao has authored 19 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Honghua Rao's work include Metaheuristic Optimization Algorithms Research (19 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Evolutionary Algorithms and Applications (8 papers). Honghua Rao is often cited by papers focused on Metaheuristic Optimization Algorithms Research (19 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Evolutionary Algorithms and Applications (8 papers). Honghua Rao collaborates with scholars based in China, Jordan and Malaysia. Honghua Rao's co-authors include Heming Jia, Changsheng Wen, Seyedali Mirjalili, Laith Abualigah, Di Wu, Qingxin Liu, Jinrui Zhang, Chenghao Lu, Zhuo Wang and Hongmin Chen and has published in prestigious journals such as Artificial Intelligence Review, Swarm and Evolutionary Computation and Processes.

In The Last Decade

Honghua Rao

17 papers receiving 600 citations

Hit Papers

Crayfish optimization alg... 2023 2026 2024 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Crayfish optimization algorithm
    2023 337 citations Heming Jia, Honghua Rao et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Honghua Rao China 12 368 190 105 89 81 19 624
Changsheng Wen China 10 355 1.0× 182 1.0× 90 0.9× 82 0.9× 74 0.9× 12 588
Qingxin Liu China 14 450 1.2× 224 1.2× 128 1.2× 67 0.8× 87 1.1× 35 715
Jaffar Atwan Jordan 5 405 1.1× 139 0.7× 104 1.0× 89 1.0× 106 1.3× 11 664
Shijie Zhao China 8 382 1.0× 165 0.9× 84 0.8× 126 1.4× 148 1.8× 28 712
Xinming Zhang China 12 409 1.1× 169 0.9× 119 1.1× 180 2.0× 71 0.9× 33 686
Tianran Zhang China 6 356 1.0× 158 0.8× 61 0.6× 125 1.4× 168 2.1× 11 668
Fengyu Zhou China 7 425 1.2× 172 0.9× 98 0.9× 140 1.6× 105 1.3× 8 634

Countries citing papers authored by Honghua Rao

Since Specialization
Citations

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

Fields of papers citing papers by Honghua Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honghua Rao

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

All Works

19 of 19 papers shown
1.
Rao, Honghua, Heming Jia, Xinyao Zhang, & Laith Abualigah. (2025). Hybrid Adaptive Crayfish Optimization with Differential Evolution for Color Multi-Threshold Image Segmentation. Biomimetics. 10(4). 218–218. 3 indexed citations
2.
Jia, Heming & Honghua Rao. (2025). Experience Exchange Strategy: An evolutionary strategy for meta-heuristic optimization algorithms. Swarm and Evolutionary Computation. 98. 102082–102082.
3.
Shi, Xiaoming, et al.. (2025). Multi-strategy improvement of crayfish optimization algorithm to solve high-dimensional feature selection. International Journal of Machine Learning and Cybernetics. 16(9). 6683–6715. 2 indexed citations
4.
Jia, Heming, et al.. (2024). Improved artificial rabbits algorithm for global optimization and multi-level thresholding color image segmentation. Artificial Intelligence Review. 58(2). 7 indexed citations
5.
Jia, Heming, Jinrui Zhang, Honghua Rao, & Laith Abualigah. (2024). Improved sandcat swarm optimization algorithm for solving global optimum problems. Artificial Intelligence Review. 58(1). 12 indexed citations
6.
7.
Jia, Heming, Chenghao Lu, Di Wu, et al.. (2023). An Improved Reptile Search Algorithm with Ghost Opposition-based Learning for Global Optimization Problems. Journal of Computational Design and Engineering. 10(4). 1390–1422. 21 indexed citations
8.
Jia, Heming, et al.. (2023). Improve coati optimization algorithm for solving constrained engineering optimization problems. Journal of Computational Design and Engineering. 10(6). 2223–2250. 21 indexed citations
9.
Wu, Di, Changsheng Wen, Honghua Rao, et al.. (2023). Modified reptile search algorithm with multi-hunting coordination strategy for global optimization problems. Mathematical Biosciences & Engineering. 20(6). 10090–10134. 11 indexed citations
10.
Jia, Heming, Honghua Rao, Changsheng Wen, & Seyedali Mirjalili. (2023). Crayfish optimization algorithm. Artificial Intelligence Review. 56(S2). 1919–1979. 337 indexed citations breakdown →
11.
Jia, Heming, et al.. (2023). Improved snow ablation optimizer with heat transfer and condensation strategy for global optimization problem. Journal of Computational Design and Engineering. 10(6). 2177–2199. 16 indexed citations
12.
Jia, Heming, Yongchao Li, Di Wu, et al.. (2023). Multi-strategy Remora Optimization Algorithm for solving multi-extremum problems. Journal of Computational Design and Engineering. 10(4). 1315–1349. 19 indexed citations
13.
Chen, Hongmin, Zhuo Wang, Di Wu, et al.. (2023). An improved multi-strategy beluga whale optimization for global optimization problems. Mathematical Biosciences & Engineering. 20(7). 13267–13317. 18 indexed citations
14.
Jia, Heming, Di Wu, Honghua Rao, et al.. (2023). Modified Artificial Gorilla Troop Optimization Algorithm for Solving Constrained Engineering Optimization Problems. Mathematics. 11(5). 1256–1256. 11 indexed citations
15.
Rao, Honghua, Heming Jia, Di Wu, et al.. (2022). A Modified Group Teaching Optimization Algorithm for Solving Constrained Engineering Optimization Problems. Mathematics. 10(20). 3765–3765. 22 indexed citations
16.
Wen, Changsheng, Heming Jia, Di Wu, et al.. (2022). Modified Remora Optimization Algorithm with Multistrategies for Global Optimization Problem. Mathematics. 10(19). 3604–3604. 33 indexed citations
17.
Rao, Honghua, Changsheng Wen, Heming Jia, et al.. (2022). Improved Remora Optimization Algorithm with Mutualistic Strategy for Solving Constrained Engineering Optimization Problems. Processes. 10(12). 2606–2606. 6 indexed citations
18.
Wu, Di, Honghua Rao, Changsheng Wen, et al.. (2022). Modified Sand Cat Swarm Optimization Algorithm for Solving Constrained Engineering Optimization Problems. Mathematics. 10(22). 4350–4350. 84 indexed citations
19.

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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