Miao Song
- Oceanography top 5%
- Marine and coastal ecosystems 19
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- Water Quality Monitoring and Analysis 11
- Media Technology top 2%
- Environmental Chemistry top 5%
- Aquatic Ecosystems and Phytoplankton Dynamics 8
- Water Science and Technology top 5%
- Water Quality Monitoring Technologies 6
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- Face Recognition and Perception 9
- Neural and Behavioral Psychology Studies 9
- Visual perception and processing mechanisms 6
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- Visual Attention and Saliency Detection 5
- Co-authors
- Heng LyuYunmei LiJie XuMeng MuShun BiShaohua LeiBaolong GuoQian Qian
- Journals
- Ecological Indicators (4 papers)IEEE Transactions on Geoscience and Remote Sensing (4 papers)Psychological Research (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Miao Song
44 papers receiving 719 citations
Peers
Comparison fields: 5 of 87
- Oceanography 329
- Industrial and Manufacturing Engineering 189
- Media Technology 149
- Environmental Chemistry 141
- Water Science and Technology 189
Countries citing papers authored by Miao Song
This map shows the geographic impact of Miao Song'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 Miao Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Song more than expected).
Fields of papers citing papers by Miao Song
This network shows the impact of papers produced by Miao Song. 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 Miao Song. The network helps show where Miao Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miao Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 39 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 34 | |
| 14 | 2019 | 46 | |
| 15 | 2019 | 32 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 50 | |
| 18 | 2019 | 25 | |
| 19 | 2017 | 3 | |
| 20 | 2015 | 3 |
About Miao Song
Miao Song is a scholar working on Oceanography, Industrial and Manufacturing Engineering and Environmental Chemistry, having authored 48 papers that have together received 757 indexed citations. Recurring topics across this work include Marine and coastal ecosystems (19 papers), Water Quality Monitoring and Analysis (11 papers), Face Recognition and Perception (9 papers), Neural and Behavioral Psychology Studies (9 papers), Aquatic Ecosystems and Phytoplankton Dynamics (8 papers), Visual perception and processing mechanisms (6 papers), Water Quality Monitoring Technologies (6 papers) and Visual Attention and Saliency Detection (5 papers). The work is most often cited by research in Oceanography (329 citations), Industrial and Manufacturing Engineering (189 citations) and Media Technology (149 citations). Miao Song has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Heng Lyu, Yunmei Li, Jie Xu, Meng Mu, Shun Bi, Shaohua Lei, Baolong Guo, Qian Qian, Shuai Zeng and Qiao Wang. Their work appears in journals such as Ecological Indicators, IEEE Transactions on Geoscience and Remote Sensing, Psychological Research, Attention Perception & Psychophysics and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.