Minglei Fu
Impact in
- Acoustics and Ultrasonics top 10%
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
- Air Quality Monitoring and Forecasting
Papers in
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- Advanced Optical Network Technologies 15
- Advanced Photonic Communication Systems 13
- Optical Network Technologies 9
- Photonic and Optical Devices 6
- Energy Load and Power Forecasting 5
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- Robotics and Sensor-Based Localization 7
- Co-authors
- Zichun Le (30 shared papers)Zaher Mundher Yaseen (8 shared papers)Nadhir Al‐Ansari (1 shared paper)Sinan Q. Salih (1 shared paper)Ravinesh C. Deo (2 shared papers)Ahmed El‐Shafie (1 shared paper)Wan Hanna Melini Wan Mohtar (1 shared paper)Wang Chen (1 shared paper)
In The Last Decade
Minglei Fu
64 papers receiving 621 citations
Peers
Comparison fields: 5 of 89
- Acoustics and Ultrasonics 16
- Environmental Engineering 218
- Water Science and Technology 162
- Global and Planetary Change 154
- Health, Toxicology and Mutagenesis 46
Countries citing papers authored by Minglei Fu
This map shows the geographic impact of Minglei Fu'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 Minglei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minglei Fu more than expected).
Fields of papers citing papers by Minglei Fu
This network shows the impact of papers produced by Minglei Fu. 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 Minglei Fu. The network helps show where Minglei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Minglei Fu, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 146 | |
| 2 | 2018 | 83 | |
| 3 | 2015 | 52 | |
| 4 | 2020 | 23 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 21 | |
| 7 | 2011 | 19 | |
| 8 | 2018 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2017 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2011 | 7 |
About Minglei Fu
Minglei Fu is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 70 papers that have together received 635 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (15 papers), Advanced Photonic Communication Systems (13 papers), Optical Network Technologies (9 papers), Robotics and Sensor-Based Localization (7 papers), Photonic and Optical Devices (6 papers), Software-Defined Networks and 5G (6 papers), Robotic Path Planning Algorithms (5 papers) and Energy Load and Power Forecasting (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (16 citations), Environmental Engineering (218 citations), Water Science and Technology (162 citations), Global and Planetary Change (154 citations) and Health, Toxicology and Mutagenesis (46 citations). Minglei Fu has collaborated with scholars based in China, Ukraine and Belarus. Frequent co-authors include Zichun Le, Zaher Mundher Yaseen, Nadhir Al‐Ansari, Sinan Q. Salih, Ravinesh C. Deo, Ahmed El‐Shafie, Wan Hanna Melini Wan Mohtar, Wang Chen, Weiwen Wang and Mahdi Safaei Khorram. Their work appears in journals such as Optik, Physica A Statistical Mechanics and its Applications, Optics Express, IEEE photonics journal and Scientific Reports.
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.