Maofa Wang

603 citations
56 papers · 398 · h-index 11

Impact in

    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Seismology and Earthquake Studies
    • Underwater Vehicles and Communication Systems

Papers in

Maofa Wang

47 papers receiving 387 citations

Peers

Maofa Wang
Comparison fields: 5 of 107
  • Artificial Intelligence 154
  • Ocean Engineering 42
  • Computer Vision and Pattern Recognition 53
  • Oceanography 31
  • Computational Theory and Mathematics 38
Replace Agnieszka E. Piotrowska with:
Agnieszka E. Piotrowska Poland
Alexey Zaytsev Russia
Jiangnan Zhang China
Mingyang Pan China
Hasan Al-Marzouqi United Arab Emirates
Muhammad Rashid Pakistan
Guo Wei China
Guoliang Zhang China
Maofa Wang relative to Agnieszka E. Piotrowska Poland Agnieszka E. Piotrowska's profile →
Citations per field
00.5×5.2×
Agnieszka E. Piotrowska · 1×
Citations per year

Countries citing papers authored by Maofa Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Maofa Wang Line = papers co-authored together Maofa Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202235
2 202229
3 202329
4 202327
5 202227
6 202126
7 202223
8 202318
9 202314
10 200812
11 202110
12 202110
13 20239
14 20228
15 20248
16 20228
17 20237
18 20227
19 20097
20 20197

About Maofa Wang

Maofa Wang is a scholar working on Artificial Intelligence, Ocean Engineering, Electrical and Electronic Engineering, Oceanography and Geophysics, having authored 56 papers that have together received 398 indexed citations. Recurring topics across this work include Underwater Acoustics Research (8 papers), Underwater Vehicles and Communication Systems (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Seismology and Earthquake Studies (5 papers), Earthquake Detection and Analysis (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Nanowire Synthesis and Applications (4 papers) and Silicon Nanostructures and Photoluminescence (4 papers). The work is most often cited by research in Artificial Intelligence (154 citations), Ocean Engineering (42 citations), Computer Vision and Pattern Recognition (53 citations), Oceanography (31 citations) and Computational Theory and Mathematics (38 citations). Maofa Wang has collaborated with scholars based in China, Iran and South Korea. Frequent co-authors include Huiling Chen, Weifeng Shan, Ali Asghar Heidari, Haijun Liu, Zhennao Cai, Sujay Raghavendra Naganna, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mohammad Rezaie-Balf, Lili Xing and Khan Muhammad. Their work appears in journals such as Applied Sciences, Journal of Computational Design and Engineering, Journal of Nanoscience and Nanotechnology, Computers & Geosciences and Atmosphere.

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.

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