Lianghong Wu

1.8k total citations
67 papers, 1.4k citations indexed

About

Lianghong Wu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Lianghong Wu has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 21 papers in Control and Systems Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Lianghong Wu's work include Metaheuristic Optimization Algorithms Research (15 papers), Adaptive Control of Nonlinear Systems (6 papers) and Evolutionary Algorithms and Applications (6 papers). Lianghong Wu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (15 papers), Adaptive Control of Nonlinear Systems (6 papers) and Evolutionary Algorithms and Applications (6 papers). Lianghong Wu collaborates with scholars based in China, United Kingdom and United States. Lianghong Wu's co-authors include Xiaofang Yuan, Yaonan Wang, Shaowu Zhou, Zhaohua Liu, Cili Zuo, Hongqiang Zhang, Kan Liu, Chaoyang Chen, Zhenlong Chen and Hua‐Liang Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Journal of Cleaner Production.

In The Last Decade

Lianghong Wu

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianghong Wu China 19 543 390 386 256 131 67 1.4k
Eva Trojovská Czechia 14 389 0.7× 270 0.7× 743 1.9× 285 1.1× 60 0.5× 26 1.5k
Mohsen Zare Iran 22 1.1k 2.0× 590 1.5× 460 1.2× 193 0.8× 69 0.5× 53 1.8k
Mojtaba Ghasemi Iran 19 683 1.3× 290 0.7× 588 1.5× 253 1.0× 40 0.3× 32 1.7k
Ramin Rajabioun Türkiye 7 287 0.5× 288 0.7× 442 1.1× 153 0.6× 34 0.3× 13 1.2k
Dexuan Zou China 29 897 1.7× 342 0.9× 942 2.4× 511 2.0× 62 0.5× 111 2.6k
Mojtaba Ahmadieh Khanesar Iran 23 346 0.6× 727 1.9× 782 2.0× 153 0.6× 52 0.4× 71 1.6k
Baseem Khan Ethiopia 19 659 1.2× 312 0.8× 329 0.9× 87 0.3× 184 1.4× 66 1.3k
Fang Tang China 12 183 0.3× 290 0.7× 640 1.7× 170 0.7× 76 0.6× 36 1.3k
Vikram Kumar Kamboj India 19 725 1.3× 297 0.8× 557 1.4× 307 1.2× 38 0.3× 70 1.4k
Hui Song China 20 425 0.8× 187 0.5× 615 1.6× 493 1.9× 44 0.3× 86 1.5k

Countries citing papers authored by Lianghong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lianghong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianghong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lianghong Wu. A scholar is included among the top collaborators of Lianghong 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 Lianghong Wu. Lianghong Wu 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.
Jin, Jie, et al.. (2024). A New-Type Zeroing Neural Network Model and Its Application in Dynamic Cryptography. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 176–191. 34 indexed citations
2.
Cai, Chen, Yumeng Zhang, Kaiming Peng, et al.. (2024). Technology-driven carbon-neutral pathway analysis for Urban Wastewater Treatment Plants. Journal of Cleaner Production. 475. 143696–143696. 7 indexed citations
3.
Wu, Lianghong, et al.. (2024). White blood cell classification network using MobileNetv2 with multiscale feature extraction module and attention mechanism. Biomedical Signal Processing and Control. 99. 106820–106820. 9 indexed citations
4.
Wu, Lianghong, et al.. (2024). A lightweight white blood cells detection network based on CenterNet and feature fusion modules. Measurement Science and Technology. 35(7). 75702–75702. 2 indexed citations
5.
Jin, Jie, Lan Zhou, Chaoyang Chen, et al.. (2024). A Complex-Valued Variant-Parameter Robust Zeroing Neural Network Model and its Applications. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(2). 1303–1321. 25 indexed citations
6.
Chen, Liang, et al.. (2024). Contamination Detection in the Cultivation of Leukocyte Based on Image Sparsity Evaluation. International Journal of Automation and Control. 19(1).
7.
Chen, Liang, et al.. (2023). Lightweight Underwater Target Detection Algorithm Based on Dynamic Sampling Transformer and Knowledge-Distillation Optimization. Journal of Marine Science and Engineering. 11(2). 426–426. 9 indexed citations
8.
9.
Xiao, Qing, et al.. (2023). Probabilistic Optimal Power Flow Computation Using Stratified Quadrature Rule. IEEE Transactions on Power Systems. 39(1). 671–680. 2 indexed citations
10.
Wu, Lianghong, et al.. (2023). Optimal scheduling of solar-surface water source heat pump system based on an improved arithmetic optimization algorithm. Egyptian Informatics Journal. 24(4). 100415–100415. 5 indexed citations
11.
12.
Jia, Rui, Lianghong Wu, & Wei Wang. (2022). Optimal Scheduling of Ground Source Heat Pump Based on a New Variable Neighborhood Particle Swarm Optimization Algorithm. 2022 41st Chinese Control Conference (CCC). 1821–1826.
13.
Xiao, Qing, Lianghong Wu, & Chaoyang Chen. (2021). Probabilistic power flow computation using nested point estimate method. IET Generation Transmission & Distribution. 16(6). 1064–1082. 5 indexed citations
14.
Chen, Chaoyang, Feng Liu, Lianghong Wu, et al.. (2020). Tracking Performance Limitations of Networked Control Systems With Repeated Zeros and Poles. IEEE Transactions on Automatic Control. 66(4). 1902–1909. 21 indexed citations
15.
Chen, Chaoyang, Weihua Gui, Lianghong Wu, Zhaohua Liu, & Huaicheng Yan. (2019). Tracking Performance Limitations of MIMO Networked Control Systems With Multiple Communication Constraints. IEEE Transactions on Cybernetics. 50(7). 2982–2995. 37 indexed citations
16.
Xiao, Qing, Shaowu Zhou, Lianghong Wu, Yanming Zhao, & You Zhou. (2019). Investigating Univariate Dimension Reduction Model for Probabilistic Power Flow Computation. Electric Power Components and Systems. 47(6-7). 561–572. 5 indexed citations
17.
Chen, Chaoyang, Yang Tang, Lianghong Wu, et al.. (2018). Adaptive Neural-Network-Based Control for a Class of Nonlinear Systems With Unknown Output Disturbance and Time Delays. IEEE Access. 7. 7702–7716. 13 indexed citations
18.
Wu, Lianghong, Huiying Wang, Cili Zuo, & Hua‐Liang Wei. (2018). Multi-objective Fruit Fly Optimization Based on Cloud Model. 335–340. 2 indexed citations
19.
Zuo, Cili, et al.. (2017). Stochastic Fractal Based Multiobjective Fruit Fly Optimization. SHILAP Revista de lepidopterología. 9 indexed citations
20.
Wu, Lianghong, et al.. (2015). Bimodal fruit fly optimization algorithm based on cloud model learning. Soft Computing. 21(7). 1877–1893. 22 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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