Meng-Hui Chen
Impact in
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Metaheuristic Optimization Algorithms Research 10
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- Scheduling and Optimization Algorithms 6
- Vehicle Routing Optimization Methods 3
- Co-authors
- Pei‐Chann Chang (16 shared papers)Cheng-Hui Lin (2 shared papers)Jheng-Long Wu (2 shared papers)Chin-Hung Teng (2 shared papers)Chia‐Yu Hsu (2 shared papers)Shih-Hsin Chen (2 shared papers)Jianyi Wang (3 shared papers)Manli Chen (1 shared paper)
In The Last Decade
Meng-Hui Chen
32 papers receiving 409 citations
Peers
Comparison fields: 5 of 92
- Industrial and Manufacturing Engineering 70
- Computer Science Applications 37
- Information Systems 135
- Artificial Intelligence 142
- Computer Networks and Communications 53
Countries citing papers authored by Meng-Hui Chen
This map shows the geographic impact of Meng-Hui Chen'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 Meng-Hui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng-Hui Chen more than expected).
Fields of papers citing papers by Meng-Hui Chen
This network shows the impact of papers produced by Meng-Hui Chen. 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 Meng-Hui Chen. The network helps show where Meng-Hui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng-Hui Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2016 | 56 | |
| 3 | 2016 | 55 | |
| 4 | 2019 | 22 | |
| 5 | 2021 | 22 | |
| 6 | 2017 | 19 | |
| 7 | 2015 | 17 | |
| 8 | 2013 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2024 | 15 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2019 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2022 | 9 | |
| 17 | 2014 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2021 | 5 | |
| 20 | 2016 | 5 |
About Meng-Hui Chen
Meng-Hui Chen is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Biomedical Engineering, Electrical and Electronic Engineering and Information Systems, having authored 36 papers that have together received 421 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Scheduling and Optimization Algorithms (6 papers), Artificial Immune Systems Applications (4 papers), Advanced Battery Materials and Technologies (3 papers), Vehicle Routing Optimization Methods (3 papers), Advancements in Battery Materials (3 papers), Advanced battery technologies research (3 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (70 citations), Computer Science Applications (37 citations), Information Systems (135 citations), Artificial Intelligence (142 citations) and Computer Networks and Communications (53 citations). Meng-Hui Chen has collaborated with scholars based in China, Taiwan and India. Frequent co-authors include Pei‐Chann Chang, Cheng-Hui Lin, Jheng-Long Wu, Chin-Hung Teng, Chia‐Yu Hsu, Shih-Hsin Chen, Jianyi Wang, Manli Chen, Haibin Li and Zhida Chen. Their work appears in journals such as Soft Computing, Applied Materials Today, Textile Research Journal, Engineering Applications of Artificial Intelligence and Electrochimica Acta.
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.