Meng-Hui Chen
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
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)Chin-Hung Teng (2 shared papers)Jheng-Long Wu (2 shared papers)Chia‐Yu Hsu (2 shared papers)Shih-Hsin Chen (2 shared papers)Jianyi Wang (3 shared papers)Zhida Chen (3 shared papers)
In The Last Decade
Meng-Hui Chen
33 papers receiving 437 citations
Peers
Comparison fields: 5 of 94
- Computer Science Applications 41
- Industrial and Manufacturing Engineering 75
- Information Systems 146
- Artificial Intelligence 151
- Computer Networks and Communications 55
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 | 65 | |
| 2 | 2016 | 61 | |
| 3 | 2016 | 58 | |
| 4 | 2021 | 24 | |
| 5 | 2019 | 23 | |
| 6 | 2017 | 19 | |
| 7 | 2015 | 18 | |
| 8 | 2017 | 16 | |
| 9 | 2013 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2015 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2022 | 9 | |
| 17 | 2014 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2021 | 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 450 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 Computer Science Applications (41 citations), Industrial and Manufacturing Engineering (75 citations), Information Systems (146 citations), Artificial Intelligence (151 citations) and Computer Networks and Communications (55 citations). Meng-Hui Chen has collaborated with scholars based in China, Taiwan and India. Frequent co-authors include Pei‐Chann Chang, Cheng-Hui Lin, Chin-Hung Teng, Jheng-Long Wu, Chia‐Yu Hsu, Shih-Hsin Chen, Jianyi Wang, Zhida Chen, Manoj Kumar Tiwari and Rui Gong. Their work appears in journals such as Soft Computing, Diagnostic Pathology, Computers & Industrial Engineering, International Journal of Biological Macromolecules and Materials Science in Semiconductor Processing.
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.