Peng Wang

4.3k total citations · 1 hit paper
230 papers, 3.2k citations indexed

About

Peng Wang is a scholar working on Ocean Engineering, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Peng Wang has authored 230 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Ocean Engineering, 65 papers in Computational Theory and Mathematics and 63 papers in Artificial Intelligence. Recurrent topics in Peng Wang's work include Advanced Multi-Objective Optimization Algorithms (62 papers), Metaheuristic Optimization Algorithms Research (49 papers) and Underwater Vehicles and Communication Systems (37 papers). Peng Wang is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (62 papers), Metaheuristic Optimization Algorithms Research (49 papers) and Underwater Vehicles and Communication Systems (37 papers). Peng Wang collaborates with scholars based in China, Canada and United States. Peng Wang's co-authors include Huachao Dong, Baowei Song, Zhouquan Zhu, Xinjing Wang, Yonghu Wang, Zuomin Dong, Jiangtao Shen, Shuchao Cao, Jinglu Li and Peng Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Water Resources Research.

In The Last Decade

Peng Wang

205 papers receiving 3.1k citations

Hit Papers

A novel hybrid MCDM model combining the SAW, TOPSIS and G... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Wang China 30 895 894 804 420 373 230 3.2k
R. Timothy Marler United States 10 972 1.1× 257 0.3× 623 0.8× 452 1.1× 358 1.0× 11 4.9k
Min‐Yuan Cheng Taiwan 33 704 0.8× 225 0.3× 1.3k 1.7× 808 1.9× 99 0.3× 145 4.8k
Yu‐Jun Zheng China 30 425 0.5× 260 0.3× 1.2k 1.5× 140 0.3× 284 0.8× 112 3.1k
N. Srinivas India 3 2.2k 2.5× 340 0.4× 1.7k 2.1× 404 1.0× 388 1.0× 14 5.5k
Chen Jiang China 30 821 0.9× 157 0.2× 348 0.4× 344 0.8× 240 0.6× 166 2.9k
Kincho H. Law United States 43 235 0.3× 1.0k 1.1× 681 0.8× 274 0.7× 529 1.4× 326 7.5k
Guanjun Liu China 31 477 0.5× 178 0.2× 1.5k 1.8× 145 0.3× 165 0.4× 305 4.1k
Apu Kumar Saha India 32 821 0.9× 148 0.2× 1.4k 1.7× 321 0.8× 87 0.2× 141 2.8k
Xuesong Yan China 27 315 0.4× 243 0.3× 1.1k 1.4× 227 0.5× 100 0.3× 143 2.7k
Tapabrata Ray Australia 40 3.3k 3.7× 537 0.6× 3.3k 4.1× 905 2.2× 367 1.0× 237 6.4k

Countries citing papers authored by Peng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Wang. A scholar is included among the top collaborators of Peng Wang 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 Peng Wang. Peng Wang 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.
Wang, Xinjing, et al.. (2025). Design of pump-jet propulsor based on data-driven optimization method. Ocean Engineering. 325. 120626–120626.
3.
Tong, Xiangrong, et al.. (2024). A pareto fronts relationship identification-based two-stage constrained evolutionary algorithm. Applied Soft Computing. 159. 111674–111674. 4 indexed citations
4.
Wang, Peng, Huan Yuan, Baoluo He, et al.. (2024). NIR-light-induced plasmonic liquid metal/ionic liquid/MXene polyurethane films with excellent antifouling and self-healing capabilities. Journal of Material Science and Technology. 221. 1–10. 14 indexed citations
5.
Wang, Peng, et al.. (2024). Structural characteristics and spatiotemporal changes of a reticular river network based on complex network theory. Journal of Hydrology. 638. 131577–131577. 5 indexed citations
6.
Wang, Wenxin, Huachao Dong, Xinjing Wang, et al.. (2024). A surrogate-assisted expensive constrained multi-objective global optimization algorithm and application. Applied Soft Computing. 167. 112226–112226. 1 indexed citations
7.
Wang, Peng, et al.. (2024). A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems. Applied Soft Computing. 163. 111857–111857. 5 indexed citations
8.
Shen, Jiangtao, et al.. (2023). An inverse model-guided two-stage evolutionary algorithm for multi-objective optimization. Expert Systems with Applications. 225. 120198–120198. 8 indexed citations
9.
Wang, Peng, et al.. (2023). Tip clearance influence on hydrodynamic performance and pressure fluctuation of a composite ducted propeller using a two-way FSI method. Ocean Engineering. 282. 114698–114698. 7 indexed citations
10.
Wang, Peng, et al.. (2023). Fabrication of zwitterionic polymer-functionalized MXene nanosheets for anti-bacterial and anti-biofouling applications. Progress in Organic Coatings. 183. 107727–107727. 33 indexed citations
11.
Li, Jinglu, et al.. (2023). Multi-objective constrained black-box optimization algorithm based on feasible region localization and performance-improvement exploration. Applied Soft Computing. 148. 110874–110874. 8 indexed citations
12.
Wang, Peng, et al.. (2023). GRM: Gaussian response module for visual tracking. Displays. 79. 102509–102509. 1 indexed citations
13.
Wang, Xinjing, et al.. (2023). A model-based shape conceptual design framework of blend-wing-body underwater gliders with curved wings. Ships and Offshore Structures. 19(4). 497–508. 6 indexed citations
14.
Dong, Huachao, et al.. (2022). A model-based multidisciplinary conceptual design for blended-wing-body underwater gliders. Ships and Offshore Structures. 18(11). 1519–1527. 7 indexed citations
15.
Wang, Peng, et al.. (2022). A dynamic space reduction ant colony optimization for capacitated vehicle routing problem. Soft Computing. 26(17). 8745–8756. 7 indexed citations
16.
Shen, Jiangtao, Peng Wang, & Xinjing Wang. (2020). A Controlled Strengthened Dominance Relation for Evolutionary Many-Objective Optimization. IEEE Transactions on Cybernetics. 52(5). 3645–3657. 45 indexed citations
17.
Li, Chengshan, Peng Wang, Huachao Dong, & Xinjing Wang. (2018). A simplified shape optimization strategy for blended-wing-body underwater gliders. Structural and Multidisciplinary Optimization. 58(5). 2189–2202. 29 indexed citations
18.
Dong, Huachao, Baowei Song, Zuomin Dong, & Peng Wang. (2018). SCGOSR: Surrogate-based constrained global optimization using space reduction. Applied Soft Computing. 65. 462–477. 57 indexed citations
19.
Pan, Guang, et al.. (2014). A Novel Latin Hypercube Algorithm via Translational Propagation. The Scientific World JOURNAL. 2014. 1–15. 11 indexed citations
20.
Wang, Peng. (2002). MDSR Based on Hybrid HMM/ RBF. Jisuanji gongcheng. 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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