Ming Sun
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
Papers in
-
- Speech and Audio Processing 10
-
- Target Tracking and Data Fusion in Sensor Networks 11
- Co-authors
- K. C. Ho (12 shared papers)Le Yang (5 shared papers)Zafer Şahinoğlu (2 shared papers)Yong Min (5 shared papers)Lei Chen (5 shared papers)Fei Xu (1 shared paper)Ruikuo Liu (1 shared paper)Yunyi Wu (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (4 papers)Signal Processing (4 papers)IET Generation Transmission & Distribution (2 papers)Energy & Fuels (2 papers)IEEE Signal Processing Letters (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Ming Sun
42 papers receiving 687 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 206
- Energy Engineering and Power Technology 44
- Electrical and Electronic Engineering 545
- Ocean Engineering 138
- Artificial Intelligence 187
Countries citing papers authored by Ming Sun
This map shows the geographic impact of Ming Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Sun more than expected).
Fields of papers citing papers by Ming Sun
This network shows the impact of papers produced by Ming Sun. 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 Sun. The network helps show where Ming Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Sun, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 129 | |
| 2 | 2008 | 97 | |
| 3 | 2007 | 78 | |
| 4 | 2022 | 48 | |
| 5 | 2012 | 30 | |
| 6 | 2012 | 30 | |
| 7 | 2012 | 26 | |
| 8 | 2009 | 25 | |
| 9 | 2013 | 24 | |
| 10 | 2008 | 20 | |
| 11 | 2009 | 19 | |
| 12 | 2011 | 19 | |
| 13 | 2005 | 16 | |
| 14 | 2017 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2020 | 11 | |
| 18 | 2012 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2004 | 8 |
About Ming Sun
Ming Sun is a scholar working on Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering, Ocean Engineering and Control and Systems Engineering, having authored 46 papers that have together received 724 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (14 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers), Speech and Audio Processing (10 papers), Underwater Vehicles and Communication Systems (5 papers), Frequency Control in Power Systems (3 papers), Ultrasonics and Acoustic Wave Propagation (3 papers), Wind Turbine Control Systems (3 papers) and Power Systems and Renewable Energy (3 papers). The work is most often cited by research in Signal Processing (206 citations), Energy Engineering and Power Technology (44 citations), Electrical and Electronic Engineering (545 citations), Ocean Engineering (138 citations) and Artificial Intelligence (187 citations). Ming Sun has collaborated with scholars based in China, United States and Russia. Frequent co-authors include K. C. Ho, Le Yang, Zafer Şahinoğlu, Yong Min, Lei Chen, Fei Xu, Ruikuo Liu, Yunyi Wu, Xian‐Yong Wei and Hong Zhang. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IET Generation Transmission & Distribution, Energy & Fuels and IEEE Signal Processing Letters.
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.