Ming Diao
Impact in
- Aerospace Engineering top 5%
- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Artificial Intelligence top 5%
- Wireless Signal Modulation Classification
- Metaheuristic Optimization Algorithms Research
Papers in ⓘ
-
- Direction-of-Arrival Estimation Techniques 18
- Speech and Audio Processing 12
- Soil Science 10
- Irrigation Practices and Water Management 10
- Co-authors
- Zhang Ming (3 shared papers)Hongyuan Gao (19 shared papers)Limin Guo (1 shared paper)Huiying Liu (11 shared papers)Jinxia Cui (6 shared papers)Lutao Liu (3 shared papers)Lipeng Gao (7 shared papers)Long Ma (1 shared paper)
In The Last Decade
Ming Diao
96 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 118
- Aerospace Engineering 370
- Artificial Intelligence 473
- Plant Science 497
- Signal Processing 100
- Soil Science 81
Countries citing papers authored by Ming Diao
This map shows the geographic impact of Ming Diao'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 Ming Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Diao more than expected).
Fields of papers citing papers by Ming Diao
This network shows the impact of papers produced by Ming Diao. 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 Ming Diao. The network helps show where Ming Diao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Diao, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 185 | |
| 2 | 2017 | 183 | |
| 3 | 2016 | 102 | |
| 4 | 2011 | 76 | |
| 5 | 2017 | 59 | |
| 6 | 2018 | 55 | |
| 7 | 2021 | 53 | |
| 8 | 2018 | 49 | |
| 9 | 2019 | 49 | |
| 10 | 2020 | 39 | |
| 11 | 2015 | 33 | |
| 12 | 2019 | 28 | |
| 13 | 2014 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2018 | 24 | |
| 16 | 2015 | 22 | |
| 17 | 2015 | 21 | |
| 18 | 2010 | 21 | |
| 19 | 2022 | 21 | |
| 20 | 2022 | 20 |
About Ming Diao
Ming Diao is a scholar working on Signal Processing, Soil Science, Aerospace Engineering, Plant Science and Artificial Intelligence, having authored 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (18 papers), Speech and Audio Processing (12 papers), Plant Stress Responses and Tolerance (10 papers), Irrigation Practices and Water Management (10 papers), Radar Systems and Signal Processing (9 papers), Greenhouse Technology and Climate Control (9 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Advanced Adaptive Filtering Techniques (6 papers). The work is most often cited by research in Aerospace Engineering (370 citations), Artificial Intelligence (473 citations), Plant Science (497 citations), Signal Processing (100 citations) and Soil Science (81 citations). Ming Diao has collaborated with scholars based in China, Taiwan and Spain. Frequent co-authors include Zhang Ming, Hongyuan Gao, Limin Guo, Huiying Liu, Jinxia Cui, Lutao Liu, Lipeng Gao, Long Ma, Jianwei Wang and Qian Sun. Their work appears in journals such as Agronomy, Frontiers in Plant Science, Agricultural Water Management, IEEE Access and Scientia Horticulturae.
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.