Haitong Zhao

461 total citations
22 papers, 362 citations indexed

About

Haitong Zhao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Haitong Zhao has authored 22 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Haitong Zhao's work include Advanced Multi-Objective Optimization Algorithms (12 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Evolutionary Algorithms and Applications (6 papers). Haitong Zhao is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (12 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Evolutionary Algorithms and Applications (6 papers). Haitong Zhao collaborates with scholars based in China, United States and Australia. Haitong Zhao's co-authors include Changsheng Zhang, Bin Zhang, Changsheng Zhang, Jiaxu Ning, Peibo Duan, Yang Yang, Chen Zhang, Mengjie Zhang, Bin Zhang and Bin Zhang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Haitong Zhao

20 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haitong Zhao China 9 127 98 85 46 44 22 362
Juxia Xiong China 6 118 0.9× 53 0.5× 63 0.7× 32 0.7× 96 2.2× 16 387
Kaiping Luo China 11 153 1.2× 65 0.7× 107 1.3× 31 0.7× 37 0.8× 38 439
Urszula Boryczka Poland 11 156 1.2× 43 0.4× 100 1.2× 22 0.5× 24 0.5× 35 369
Francisco Herrera Triguero Spain 10 200 1.6× 45 0.5× 69 0.8× 37 0.8× 38 0.9× 26 380
Maryam Karimi-Mamaghan France 6 122 1.0× 48 0.5× 257 3.0× 37 0.8× 49 1.1× 6 445
Zhongbao Zhou China 7 155 1.2× 158 1.6× 46 0.5× 63 1.4× 45 1.0× 15 388
Milad Baghalzadeh Shishehgarkhaneh Australia 12 179 1.4× 72 0.7× 87 1.0× 58 1.3× 38 0.9× 20 556
Daqing Wu China 11 150 1.2× 41 0.4× 124 1.5× 26 0.6× 70 1.6× 21 466
Praveen Kumar Tripathi India 7 258 2.0× 176 1.8× 56 0.7× 49 1.1× 99 2.3× 27 582
Tunçhan Cura Türkiye 9 184 1.4× 44 0.4× 98 1.2× 167 3.6× 51 1.2× 14 452

Countries citing papers authored by Haitong Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Haitong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haitong Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Haitong Zhao. A scholar is included among the top collaborators of Haitong Zhao 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 Haitong Zhao. Haitong Zhao 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.
Yang, Yufei, Changsheng Zhang, Yi Liu, & Haitong Zhao. (2025). Surrogate-assisted evolutionary algorithm with stage-adaptive infill sampling criterion for expensive multimodal multi-objective optimization. Swarm and Evolutionary Computation. 98. 102068–102068.
2.
Sun, Baiqing, Changsheng Zhang, Haitong Zhao, & Yu Zhang. (2024). Scalable benchmarks and performance measures for dynamic multi-objective optimization. Applied Soft Computing. 159. 111600–111600. 1 indexed citations
3.
Yang, Shaoqiong, et al.. (2024). A new dead reckoning method for HAUVs assisted by a dynamic model with ocean current information. Ocean Engineering. 295. 116847–116847. 5 indexed citations
4.
5.
Liu, Qianqian, Haitong Zhao, Tingting He, et al.. (2023). Prognostic value of lymph node micrometastasis in esophageal cancer: A systematic review and meta-analysis. Frontiers in Oncology. 12. 1025855–1025855. 3 indexed citations
6.
Tian, Huidong, Qiangsheng He, Yanfei Li, et al.. (2023). Association of modifiable lifestyle with colorectal cancer incidence and mortality according to metabolic status: prospective cohort study. Frontiers in Oncology. 13. 1162221–1162221. 4 indexed citations
7.
Zhao, Haitong, et al.. (2022). A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation. IEEE Transactions on Evolutionary Computation. 28(3). 810–824. 6 indexed citations
8.
Chen, Jing, et al.. (2022). Community Evolution Prediction Based on Multivariate Feature Sets and Potential Structural Features. Mathematics. 10(20). 3802–3802. 2 indexed citations
9.
Zhao, Haitong, et al.. (2021). A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches. Swarm and Evolutionary Computation. 68. 100977–100977. 19 indexed citations
10.
Ning, Jiaxu, Haitong Zhao, & Chang Liu. (2020). An improved exhausted-food-sources-identification mechanism for the artificial bee colony algorithm. Wireless Networks. 27(5). 3561–3572. 1 indexed citations
11.
Zhao, Haitong, Changsheng Zhang, & Bin Zhang. (2020). A decomposition-based many-objective ant colony optimization algorithm with adaptive reference points. Information Sciences. 540. 435–448. 37 indexed citations
12.
Zhao, Haitong, et al.. (2019). A comparative study of the evolutionary many-objective algorithms. Progress in Artificial Intelligence. 8(1). 15–43. 8 indexed citations
13.
Liu, Zhuoran, et al.. (2019). A Novel Fireworks Algorithm for the Protein-Ligand Docking on the AutoDock. Mobile Networks and Applications. 26(2). 657–668. 6 indexed citations
14.
Zhao, Haitong, Yi Li, & Shouhua Luo. (2019). Ring Artifacts Reduction in CBCT: Pixels Detection and Patch Based Correction. Molecular & cellular biomechanics. 16(4). 265–273. 1 indexed citations
15.
Zhao, Haitong, Changsheng Zhang, & Jiaxu Ning. (2019). A core firework updating information guided dynamic fireworks algorithm for global optimization. Soft Computing. 24(2). 1185–1211. 4 indexed citations
16.
Zhao, Haitong & Changsheng Zhang. (2019). An online-learning-based evolutionary many-objective algorithm. Information Sciences. 509. 1–21. 165 indexed citations
17.
Zhao, Haitong & Changsheng Zhang. (2019). A decomposition-based many-objective artificial bee colony algorithm with reinforcement learning. Applied Soft Computing. 86. 105879–105879. 29 indexed citations
18.
Zhao, Haitong, et al.. (2018). Decomposition-based sub-problem optimal solution updating direction-guided evolutionary many-objective algorithm. Information Sciences. 448-449. 91–111. 25 indexed citations
19.
Zhao, Haitong, Changsheng Zhang, & Jiaxu Ning. (2017). A best firework updating information guided adaptive fireworks algorithm. Neural Computing and Applications. 31(1). 79–99. 9 indexed citations
20.
Ning, Jiaxu, et al.. (2016). A multi-objective optimization method for service composition problem with sharing property. 38. 696–701. 1 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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