Qingjun Song
Impact in
- Oceanography top 2%
- Marine and coastal ecosystems
- Oceanographic and Atmospheric Processes
-
- Water Quality Monitoring and Analysis
Papers in
- Oceanography 59
- Marine and coastal ecosystems 53
- Oceanographic and Atmospheric Processes 13
-
- Water Quality Monitoring and Analysis 26
- Co-authors
- Junwu TangTingwei CuiChuanmin HuLian FengXiaoling ChenRonghua MaWenting QuanJun Chen
- Journals
- Remote Sensing (13 papers)Optics Express (12 papers)IEEE Transactions on Geoscience and Remote Sensing (7 papers)ISPRS Journal of Photogrammetry and Remote Sensing (4 papers)International Journal of Remote Sensing (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Qingjun Song
78 papers receiving 978 citations
Peers
Comparison fields: 5 of 58
- Oceanography 695
- Industrial and Manufacturing Engineering 284
- Water Science and Technology 278
- Global and Planetary Change 279
- Environmental Engineering 141
Countries citing papers authored by Qingjun Song
This map shows the geographic impact of Qingjun 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 Qingjun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingjun Song more than expected).
Fields of papers citing papers by Qingjun Song
This network shows the impact of papers produced by Qingjun 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 Qingjun Song. The network helps show where Qingjun Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingjun 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 2 | |
| 12 | 2020 | 0 | |
| 13 | 2019 | 44 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 21 | |
| 16 | 2014 | 4 | |
| 17 | 2008 | 7 | |
| 18 | The study on the scattering properties in the Huanghai Sea and East China Sea | 2006 | 17 |
| 19 | Abrasive Water Jet Precise Machining Based on Artificial Neural Network | 2005 | 1 |
| 20 | The statistic inversion algorithms of water constituents for the Huanghai Sea and the East China Sea | 2004 | 39 |
About Qingjun Song
Qingjun Song is a scholar working on Oceanography, Industrial and Manufacturing Engineering, Atmospheric Science, Global and Planetary Change and Media Technology, having authored 90 papers that have together received 1.0k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (53 papers), Water Quality Monitoring and Analysis (26 papers), Water Quality Monitoring Technologies (14 papers), Oceanographic and Atmospheric Processes (13 papers), Calibration and Measurement Techniques (11 papers), Remote Sensing and Land Use (10 papers), Oil Spill Detection and Mitigation (9 papers) and Remote-Sensing Image Classification (9 papers). The work is most often cited by research in Oceanography (695 citations), Industrial and Manufacturing Engineering (284 citations), Water Science and Technology (278 citations), Global and Planetary Change (279 citations) and Environmental Engineering (141 citations). Qingjun Song has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junwu Tang, Tingwei Cui, Chuanmin Hu, Lian Feng, Xiaoling Chen, Ronghua Ma, Wenting Quan, Jun Chen, Jianqiang Liu and Mingsen Lin. Their work appears in journals such as Remote Sensing, Optics Express, IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and International Journal of 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.