Wei Hong Lim

3.9k total citations · 1 hit paper
125 papers, 2.4k citations indexed

About

Wei Hong Lim is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Wei Hong Lim has authored 125 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 35 papers in Electrical and Electronic Engineering and 21 papers in Control and Systems Engineering. Recurrent topics in Wei Hong Lim's work include Metaheuristic Optimization Algorithms Research (24 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Evolutionary Algorithms and Applications (16 papers). Wei Hong Lim is often cited by papers focused on Metaheuristic Optimization Algorithms Research (24 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Evolutionary Algorithms and Applications (16 papers). Wei Hong Lim collaborates with scholars based in Malaysia, India and China. Wei Hong Lim's co-authors include Nor Ashidi Mat Isa, Leehter Yao, Koon Meng Ang, M. F. Ahmad, Sew Sun Tiang, Elango Natarajan, Chun Kit Ang, Chin Hong Wong, Iyad Dayoub and Kaïs Hassan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Power Systems.

In The Last Decade

Wei Hong Lim

105 papers receiving 2.3k citations

Hit Papers

Differential evolution: A recent review based on state-of... 2021 2026 2022 2024 2021 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
Wei Hong Lim Malaysia 28 888 794 394 384 351 125 2.4k
Zhenxing Zhang China 21 1.4k 1.6× 719 0.9× 648 1.6× 1.1k 2.9× 232 0.7× 48 3.4k
Xiaofang Yuan China 30 895 1.0× 1.1k 1.4× 340 0.9× 1.0k 2.7× 739 2.1× 155 3.3k
Nima Khodadadi United States 32 1.5k 1.7× 563 0.7× 771 2.0× 398 1.0× 146 0.4× 111 3.6k
Satvir Singh India 24 1.4k 1.6× 828 1.0× 681 1.7× 387 1.0× 69 0.2× 92 3.2k
Sadiq M. Sait Saudi Arabia 33 1.4k 1.6× 383 0.5× 1.0k 2.6× 375 1.0× 231 0.7× 61 2.9k
Sumit Kumar Australia 29 874 1.0× 265 0.3× 853 2.2× 209 0.5× 118 0.3× 52 2.0k
Hassan Noura France 34 965 1.1× 961 1.2× 164 0.4× 2.0k 5.1× 294 0.8× 231 4.6k
Betül Sultan Yıldız Türkiye 39 1.6k 1.8× 419 0.5× 1.2k 3.1× 467 1.2× 349 1.0× 77 3.6k
Hanning Chen China 26 701 0.8× 485 0.6× 359 0.9× 202 0.5× 86 0.2× 123 2.0k

Countries citing papers authored by Wei Hong Lim

Since Specialization
Citations

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

Fields of papers citing papers by Wei Hong Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Hong Lim. 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 Wei Hong Lim. The network helps show where Wei Hong Lim may publish in the future.

Co-authorship network of co-authors of Wei Hong Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Hong Lim. A scholar is included among the top collaborators of Wei Hong Lim 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 Wei Hong Lim. Wei Hong Lim 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.
Solihin, Mahmud Iwan, et al.. (2025). Advancing Intelligent Logistics: YOLO-Based Object Detection with Modified Loss Functions for X-Ray Cargo Screening. Future Transportation. 5(3). 120–120.
2.
Mong, Guo Ren, Jong Boon Ooi, Keng Yinn Wong, et al.. (2025). N2O formation pathways in swirl-stabilised NH3/CH4 and NH3/Biogas combustion. Journal of the Energy Institute. 121. 102176–102176.
3.
Lim, Wei Hong, et al.. (2024). Hybrid Inductive Power Transfer Topologies for Dynamic Wireless Power Transfer. Computers & Electrical Engineering. 118. 109431–109431. 2 indexed citations
4.
Lim, Wei Hong, et al.. (2024). A robust wrapper-based feature selection technique based on modified teaching learning based optimization with hierarchical learning scheme. Engineering Science and Technology an International Journal. 61. 101935–101935. 2 indexed citations
5.
Ang, Koon Meng, Chin Hong Wong, Abhishek Sharma, et al.. (2024). Optimized Convolutional Neural Network Towards Effective Wafer Defects Classification. Proceedings of International Conference on Artificial Life and Robotics. 29. 865–870.
6.
Berghout, Tarek, Eric Bechhoefer, F. Djeffal, & Wei Hong Lim. (2024). Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery. Machines. 12(10). 729–729. 7 indexed citations
9.
Sharma, Abhishek, Abhinav Sharma, Moshe Averbukh, et al.. (2023). Performance investigation of state-of-the-art metaheuristic techniques for parameter extraction of solar cells/module. Scientific Reports. 13(1). 11134–11134. 27 indexed citations
10.
Ang, Koon Meng, Wei Hong Lim, Sew Sun Tiang, et al.. (2023). Optimizing Image Classification: Automated Deep Learning Architecture Crafting with Network and Learning Hyperparameter Tuning. Biomimetics. 8(7). 525–525. 2 indexed citations
11.
Berghout, Tarek, Toufik Bentrcia, Wei Hong Lim, & Mohamed Benbouzid. (2023). A Neural Network Weights Initialization Approach for Diagnosing Real Aircraft Engine Inter-Shaft Bearing Faults. Machines. 11(12). 1089–1089. 10 indexed citations
13.
Wong, Chin Hong, et al.. (2023). Chaotic African Vultures Optimization Algorithm for Feature Selection. Proceedings of International Conference on Artificial Life and Robotics. 28. 591–596. 1 indexed citations
14.
Alrifaey, Moath, Wei Hong Lim, Chun Kit Ang, et al.. (2022). Hybrid Deep Learning Model for Fault Detection and Classification of Grid-Connected Photovoltaic System. IEEE Access. 10. 13852–13869. 52 indexed citations
15.
Abdelhamid, Abdelaziz A., El‐Sayed M. El‐kenawy, Fadwa Alrowais, et al.. (2022). Deep Learning with Dipper Throated Optimization Algorithm for Energy Consumption Forecasting in Smart Households. Energies. 15(23). 9125–9125. 10 indexed citations
16.
Berghout, Tarek, Mohamed Benbouzid, Toufik Bentrcia, Wei Hong Lim, & Yassine Amirat. (2022). Federated Learning for Condition Monitoring of Industrial Processes: A Review on Fault Diagnosis Methods, Challenges, and Prospects. Electronics. 12(1). 158–158. 22 indexed citations
17.
Natarajan, Elango, et al.. (2021). Effects of bone-plate materials on the healing process of fractured tibia bone under time-varying conditions: a finite element analysis. Materials Research Express. 8(9). 95308–95308. 9 indexed citations
18.
Yao, Leehter, et al.. (2018). Demand Bidding Optimization for an Aggregator with a Genetic Algorithm. Energies. 11(10). 2498–2498. 9 indexed citations
19.
Yao, Leehter & Wei Hong Lim. (2017). Optimal Purchase Strategy for Demand Bidding. IEEE Transactions on Power Systems. 33(3). 2754–2762. 18 indexed citations
20.
Yao, Leehter, et al.. (2016). A Real-Time Charging Scheme for Demand Response in Electric Vehicle Parking Station. IEEE Transactions on Smart Grid. 8(1). 52–62. 238 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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