Chyh-Ming Lai

575 total citations
32 papers, 434 citations indexed

About

Chyh-Ming Lai is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Chyh-Ming Lai has authored 32 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Industrial and Manufacturing Engineering and 5 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Chyh-Ming Lai's work include Metaheuristic Optimization Algorithms Research (10 papers), Vehicle Routing Optimization Methods (7 papers) and Facility Location and Emergency Management (5 papers). Chyh-Ming Lai is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Vehicle Routing Optimization Methods (7 papers) and Facility Location and Emergency Management (5 papers). Chyh-Ming Lai collaborates with scholars based in Taiwan, Australia and China. Chyh-Ming Lai's co-authors include Wei‐Chang Yeh, Chung‐Yi Chang, Tsung-Hua Wu, Chia‐Ling Huang, Kuei‐Hu Chang, Yun-Chia Liang, Yuk Ying Chung, Ming‐Lang Tseng, Yunzhi Jiang and Chien‐Ming Chen and has published in prestigious journals such as PLoS ONE, Neurocomputing and Applied Soft Computing.

In The Last Decade

Chyh-Ming Lai

31 papers receiving 425 citations

Peers

Chyh-Ming Lai

IME

SRRQ

CVPR

Daniele Apiletti Italy

François de Bertrand de Beuvron France

Hossein Javedani Sadaei Brazil

José Luis Flores Spain

Seyed Mohammad Hossein Hasheminejad Iran

Pavan Kumar India

Yueyang Wang China

Fangwei Zhang China

Jinyun Xue China

Piotr Jędrzejowicz Poland

Daniele Apiletti Italy

Chyh-Ming Lai

184 ×1.2

30 ×0.4

56 ×0.9

IME

33 ×0.6

SRRQ

62 ×1.3

CVPR

Citations per year, relative to Chyh-Ming Lai Chyh-Ming Lai (= 1×) peers Daniele Apiletti

Countries citing papers authored by Chyh-Ming Lai

Since Specialization

Citations

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

Fields of papers citing papers by Chyh-Ming Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chyh-Ming Lai. 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 Chyh-Ming Lai. The network helps show where Chyh-Ming Lai may publish in the future.

Co-authorship network of co-authors of Chyh-Ming Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Chyh-Ming Lai. A scholar is included among the top collaborators of Chyh-Ming Lai 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 Chyh-Ming Lai. Chyh-Ming Lai 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

Lai, Chyh-Ming, et al.. (2025). A nondominated sorting simplified swarm optimization with local search mechanisms for multi-objective vehicle routing problems with time windows. Applied Soft Computing. 174. 112989–112989. 2 indexed citations

Lai, Chyh-Ming, et al.. (2024). An Optimal Computing Allocation Strategy for Swarm-Based Algorithm in Simulation-Based Optimization Problem with Stochastic Constraint. Asia Pacific Journal of Operational Research. 1 indexed citations

Yeh, Wei‐Chang, et al.. (2023). Simplified swarm optimization for hyperparameters of convolutional neural networks. Computers & Industrial Engineering. 177. 109076–109076. 30 indexed citations

Lai, Chyh-Ming, et al.. (2022). A hybrid feature selection algorithm using simplified swarm optimization for body fat prediction. Computer Methods and Programs in Biomedicine. 226. 107183–107183. 4 indexed citations

Lai, Chyh-Ming & Ming‐Lang Tseng. (2022). Designing a reliable hierarchical military logistic network using an improved simplified swarm optimization. Computers & Industrial Engineering. 169. 108153–108153. 7 indexed citations

Lai, Chyh-Ming. (2022). The application of simplified swarm optimization in a precautionary evacuation model. Swarm and Evolutionary Computation. 75. 101189–101189. 3 indexed citations

Lai, Chyh-Ming, et al.. (2020). A gene selection algorithm using simplified swarm optimization with multi-filter ensemble technique. Applied Soft Computing. 100. 106994–106994. 19 indexed citations

Huang, Chia‐Ling, Chyh-Ming Lai, Yuk Ying Chung, et al.. (2019). Optimization of a Convolutional Neural Network Using a Hybrid Algorithm. 1–8. 4 indexed citations

Yeh, Wei‐Chang, et al.. (2019). Nurse scheduling problem using Simplified Swarm Optimization. Journal of Physics Conference Series. 1411(1). 12010–12010.

10.

Lai, Chyh-Ming. (2019). Integrating simplified swarm optimization with AHP for solving capacitated military logistic depot location problem. Applied Soft Computing. 78. 1–12. 24 indexed citations

11.

Yeh, Wei‐Chang, et al.. (2019). Fog computing task scheduling optimization based on multi-objective simplified swarm optimization. Journal of Physics Conference Series. 1411(1). 12007–12007. 10 indexed citations

12.

Yeh, Wei‐Chang, et al.. (2019). Multi-objective optimal operation of renewable energy hybrid CCHP system using SSO. Journal of Physics Conference Series. 1411(1). 12016–12016. 2 indexed citations

13.

Huang, Chia‐Ling, Yunzhi Jiang, Ying Yin, et al.. (2018). Multi Objective Scheduling in Cloud Computing Using MOSSO. 11 indexed citations

14.

Yeh, Wei‐Chang, et al.. (2017). Simplified swarm optimization for task assignment problem in distributed computing system. 46. 773–776. 3 indexed citations

15.

Lai, Chyh-Ming, Wei‐Chang Yeh, & Chung‐Yi Chang. (2016). Gene selection using information gain and improved simplified swarm optimization. Neurocomputing. 218. 331–338. 75 indexed citations

16.

Lai, Chyh-Ming & Wei‐Chang Yeh. (2016). Two-stage simplified swarm optimization for the redundancy allocation problem in a multi-state bridge system. Reliability Engineering & System Safety. 156. 148–158. 41 indexed citations

17.

Jiang, Yunzhi, et al.. (2016). Integrated use of soft computing and clustering for capacitated clustering single-facility location problem with one-time delivery. 24. 2701–2705. 1 indexed citations

18.

Yeh, Wei‐Chang, et al.. (2016). Simplified swarm optimization for repairable redundancy allocation problem in multi-state systems with bridge topology. 10. 3935–3941. 1 indexed citations

19.

Huang, Chia‐Ling, et al.. (2016). A novel 3D binary-state angle network and its reliability evaluate. 1876–1880. 1 indexed citations

20.

Yeh, Wei‐Chang & Chyh-Ming Lai. (2015). Accelerated Simplified Swarm Optimization with Exploitation Search Scheme for Data Clustering. PLoS ONE. 10(9). e0137246–e0137246. 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.

Explore authors with similar magnitude of impact