Hongrun Wu

1.2k total citations
40 papers, 898 citations indexed

About

Hongrun Wu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Hongrun Wu has authored 40 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Hongrun Wu's work include Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (10 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Hongrun Wu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (10 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Hongrun Wu collaborates with scholars based in China, United Kingdom and Singapore. Hongrun Wu's co-authors include Xuewen Xia, Fei Yu, Bo Wei, Ling Gui, Yinglong Zhang, Zhi‐Hui Zhan, Guoliang He, Xing Xu, Yinglong Zhang and Yuanxiang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Hongrun Wu

36 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongrun Wu China	13	552	308	145	96	84	40	898
Nandar Lynn Singapore	5	677 1.2×	412 1.3×	149 1.0×	65 0.7×	39 0.5×	8	974
Sukanta Nama India	20	653 1.2×	372 1.2×	90 0.6×	98 1.0×	56 0.7×	26	901
Tianran Zhang China	6	356 0.6×	158 0.5×	125 0.9×	61 0.6×	31 0.4×	11	668
Qinqin Fan China	17	512 0.9×	386 1.3×	135 0.9×	61 0.6×	58 0.7×	60	841
Mojtaba Khayatazad Belgium	5	574 1.0×	454 1.5×	68 0.5×	67 0.7×	273 3.3×	10	934
Sebastian Schmitt Germany	10	251 0.5×	202 0.7×	67 0.5×	25 0.3×	35 0.4×	28	648
Bilal India	6	319 0.6×	174 0.6×	100 0.7×	54 0.6×	61 0.7×	10	691
Shubin Tan China	16	327 0.6×	302 1.0×	196 1.4×	35 0.4×	31 0.4×	71	684
Giacomo Nannicini United States	14	191 0.3×	144 0.5×	75 0.5×	52 0.5×	25 0.3×	41	634
Qingxin Liu China	14	450 0.8×	224 0.7×	67 0.5×	128 1.3×	21 0.3×	35	715

Countries citing papers authored by Hongrun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hongrun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongrun Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yao, Honghao, Wenxuan Wang, Hongrun Wu, et al.. (2025). Manipulating phonon transport in BaCu2Se2 for improved thermoelectric performance. Chemical Engineering Journal. 525. 170613–170613.

Yan, Yingwei, et al.. (2025). Images and deep learning in human and urban infrastructure interactions pertinent to sustainable urban studies: Review and perspective. International Journal of Applied Earth Observation and Geoinformation. 136. 104352–104352. 2 indexed citations

Wu, Hongrun, et al.. (2025). Consensus for nonlinear multi-agent systems with input saturation by sampled-data based event-triggered mechanism. Nonlinear Dynamics. 113(18). 24803–24820.

Wu, Hongrun, et al.. (2024). Multi-population differential evolution approach for feature selection with mutual information ranking. Expert Systems with Applications. 260. 125404–125404. 21 indexed citations

Wu, Hongrun, et al.. (2024). Agent-Network-Computation-Based Evolutionary Game Model in Language Competition. IEEE Transactions on Computational Social Systems. 11(3). 4226–4241. 2 indexed citations

Hu, Xianglin, Hongrun Wu, Yani Kang, et al.. (2024). Establishing patient-derived tumor organoids of bone metastasis from lung adenocarcinoma reveals the transcriptomic changes underlying denosumab treatment. Clinical & Experimental Metastasis. 42(1). 8–8. 3 indexed citations

Tang, Bo, et al.. (2023). An Interactive Differential Evolution Algorithm Based on Backtracking Strategy Applied in Interior Layout Design. Algorithms. 16(6). 275–275. 1 indexed citations

Wang, Hui, et al.. (2023). Distributed Deep Reinforcement Learning With Prioritized Replay for Power Allocation in Underwater Acoustic Communication Networks. IEEE Internet of Things Journal. 11(6). 9915–9928. 2 indexed citations

Wang, Hui, et al.. (2023). Multi-Agent Transfer Reinforcement Learning for Resource Management in Underwater Acoustic Communication Networks. IEEE Transactions on Network Science and Engineering. 11(2). 2012–2023. 2 indexed citations

10.

Wu, Hongrun, et al.. (2023). Lens imaging opposition-based learning for differential evolution with cauchy perturbation. Applied Soft Computing. 152. 111211–111211. 33 indexed citations

11.

Xia, Xuewen, et al.. (2023). A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows. Swarm and Evolutionary Computation. 84. 101425–101425. 34 indexed citations

12.

Zhang, Mingjie, et al.. (2023). Multi-view contrastive learning for multilayer network embedding. Journal of Computational Science. 67. 101975–101975. 4 indexed citations

13.

Qin, Yong, Jun Huang, & Hongrun Wu. (2023). An Interval Observer for a Class of Cyber–Physical Systems with Disturbance. Axioms. 13(1). 18–18. 2 indexed citations

14.

Xia, Xuewen, Ling Gui, Yinglong Zhang, et al.. (2020). A fitness-based adaptive differential evolution algorithm. Information Sciences. 549. 116–141. 76 indexed citations

15.

Li, Yuanxiang, et al.. (2020). Bimodal Emotion Recognition Model for Minnan Songs. Information. 11(3). 145–145. 3 indexed citations

16.

Gui, Ling, Xuewen Xia, Fei Yu, et al.. (2019). A multi-role based differential evolution. Swarm and Evolutionary Computation. 50. 100508–100508. 47 indexed citations

17.

Xia, Xuewen, Ling Gui, Fei Yu, et al.. (2019). Triple Archives Particle Swarm Optimization. IEEE Transactions on Cybernetics. 50(12). 4862–4875. 185 indexed citations

18.

Wu, Hongrun, et al.. (2018). Error analysis of HDG approximations for elliptic variational inequality: obstacle problem. Numerical Algorithms. 81(2). 445–463. 6 indexed citations

19.

Li, Renjie, et al.. (2015). REGIONAL WEBGIS USER ACCESS PATTERNS BASED ON A WEIGHTED BIPARTITE NETWORK. SHILAP Revista de lepidopterología. II-4/W2. 137–141. 2 indexed citations

20.

Wu, Hongrun, et al.. (2014). A simple model clarifies the complicated relationships of complex networks. Scientific Reports. 4(1). 6197–6197. 10 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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