Mengxiang Chen
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Solar Radiation and Photovoltaics
- Machine Learning and ELM
-
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Machine Learning and ELM 2
- Metaheuristic Optimization Algorithms Research 2
- Neural Networks and Reservoir Computing 2
- Co-authors
- Huiling Chen (4 shared papers)Mingjing Wang (3 shared papers)Ali Asghar Heidari (3 shared papers)Xuehua Zhao (2 shared papers)Kai Cheng (1 shared paper)Caiyang Yu (1 shared paper)Fangjun Kuang (1 shared paper)Chengye Li (2 shared papers)
In The Last Decade
Mengxiang Chen
17 papers receiving 333 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 155
- Computational Theory and Mathematics 56
- Health Informatics 3
- Modeling and Simulation 8
- Renewable Energy, Sustainability and the Environment 27
Countries citing papers authored by Mengxiang Chen
This map shows the geographic impact of Mengxiang 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 Mengxiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengxiang Chen more than expected).
Fields of papers citing papers by Mengxiang Chen
This network shows the impact of papers produced by Mengxiang 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 Mengxiang Chen. The network helps show where Mengxiang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengxiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 128 | |
| 2 | 2020 | 117 | |
| 3 | 2020 | 27 | |
| 4 | 2021 | 18 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 |
About Mengxiang Chen
Mengxiang Chen is a scholar working on Artificial Intelligence, Molecular Biology, Pharmacology, Mechanics of Materials and Infectious Diseases, having authored 17 papers that have together received 344 indexed citations. Recurring topics across this work include Machine Learning and ELM (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Neural Networks and Reservoir Computing (2 papers), Banking stability, regulation, efficiency (1 paper), Engineering Diagnostics and Reliability (1 paper), Digital Imaging for Blood Diseases (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Polysaccharides and Plant Cell Walls (1 paper). The work is most often cited by research in Artificial Intelligence (155 citations), Computational Theory and Mathematics (56 citations), Health Informatics (3 citations), Modeling and Simulation (8 citations) and Renewable Energy, Sustainability and the Environment (27 citations). Mengxiang Chen has collaborated with scholars based in China, Iran and Singapore. Frequent co-authors include Huiling Chen, Mingjing Wang, Ali Asghar Heidari, Xuehua Zhao, Kai Cheng, Caiyang Yu, Fangjun Kuang, Chengye Li, Chao Ma and Xueding Cai. Their work appears in journals such as IEEE Access, Infection Genetics and Evolution, Petroleum Science and Technology, Medicine and Engineering With Computers.
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.