Maofa Wang
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Seismology and Earthquake Studies
- Ocean Engineering top 10%
- Underwater Vehicles and Communication Systems
Papers in
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- Metaheuristic Optimization Algorithms Research 6
- Seismology and Earthquake Studies 5
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- Underwater Vehicles and Communication Systems 8
- Co-authors
- Huiling Chen (9 shared papers)Weifeng Shan (13 shared papers)Ali Asghar Heidari (5 shared papers)Haijun Liu (3 shared papers)Zhennao Cai (2 shared papers)Mohammad Rezaie-Balf (1 shared paper)Zaher Mundher Yaseen (1 shared paper)Sujay Raghavendra Naganna (1 shared paper)
In The Last Decade
Maofa Wang
48 papers receiving 423 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 155
- Ocean Engineering 50
- Oceanography 34
- Computer Vision and Pattern Recognition 55
- Computational Theory and Mathematics 38
Countries citing papers authored by Maofa Wang
This map shows the geographic impact of Maofa Wang'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 Maofa Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maofa Wang more than expected).
Fields of papers citing papers by Maofa Wang
This network shows the impact of papers produced by Maofa Wang. 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 Maofa Wang. The network helps show where Maofa Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Maofa Wang, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 38 | |
| 2 | 2023 | 33 | |
| 3 | 2022 | 29 | |
| 4 | 2023 | 29 | |
| 5 | 2022 | 28 | |
| 6 | 2022 | 27 | |
| 7 | 2021 | 27 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 14 | |
| 10 | 2008 | 12 | |
| 11 | 2023 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2021 | 8 |
About Maofa Wang
Maofa Wang is a scholar working on Artificial Intelligence, Ocean Engineering, Oceanography, Electrical and Electronic Engineering and Geophysics, having authored 58 papers that have together received 435 indexed citations. Recurring topics across this work include Underwater Acoustics Research (9 papers), Underwater Vehicles and Communication Systems (8 papers), Metaheuristic Optimization Algorithms Research (6 papers), Earthquake Detection and Analysis (5 papers), Seismology and Earthquake Studies (5 papers), Silicon Nanostructures and Photoluminescence (4 papers), Nanowire Synthesis and Applications (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (155 citations), Ocean Engineering (50 citations), Oceanography (34 citations), Computer Vision and Pattern Recognition (55 citations) and Computational Theory and Mathematics (38 citations). Maofa Wang has collaborated with scholars based in China, Iran and Iraq. Frequent co-authors include Huiling Chen, Weifeng Shan, Ali Asghar Heidari, Haijun Liu, Zhennao Cai, Mohammad Rezaie-Balf, Zaher Mundher Yaseen, Sujay Raghavendra Naganna, Lili Xing and Youping Gong. Their work appears in journals such as Applied Sciences, Journal of Computational Design and Engineering, Computers & Geosciences, Journal of Nanoscience and Nanotechnology and PeerJ Computer Science.
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.