Kaishan Song
- Ecology top 0.5%
- Oceanography top 0.2%
- Global and Planetary Change top 0.5%
- Water Science and Technology top 0.2%
- Environmental Engineering top 0.5%
- Topics
- Marine and coastal ecosystems (142 papers)Water Quality Monitoring and Analysis (77 papers)Land Use and Ecosystem Services (50 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kaishan Song
281 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Ecology 3.4k
- Oceanography 3.3k
- Global and Planetary Change 3.1k
- Water Science and Technology 2.4k
- Environmental Engineering 1.6k
Countries citing papers authored by Kaishan Song
This map shows the geographic impact of Kaishan 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 Kaishan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaishan Song more than expected).
Fields of papers citing papers by Kaishan Song
This network shows the impact of papers produced by Kaishan 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 Kaishan Song. The network helps show where Kaishan Song may publish in the future.
Co-authorship network of co-authors of Kaishan Song
This figure shows the co-authorship network connecting the top 25 collaborators of Kaishan Song. A scholar is included among the top collaborators of Kaishan Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaishan Song. Kaishan Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 39 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 21 | |
| 7 | 24 | |
| 8 | Mapping global distribution of mangrove forests at 10-m resolutionbreakdown → | 173 |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | 40 | |
| 14 | 70 | |
| 15 | 2 | |
| 16 | 26 | |
| 17 | [Seasonal Variability of Greenhouse Gas Emissions in the Urban Lakes in Changchun, China]. | 5 |
| 18 | [Absorption Characteristics of Particulates and CDOM in Waters of Chagan Lake and Xinlicheng Reservoir in Autumn]. | 4 |
| 19 | 74 | |
| 20 | RISK ASSESSMENT AND IDENTIFICATION OF CRITICAL SOURCE AREAS FOR DIFFUSEPHOSPHORUS LOSS IN SHUANGYANG RIVER WATERSHED, NORTHEAST CHINA | 1 |
About Kaishan Song
Kaishan Song is a scholar working on Oceanography, Industrial and Manufacturing Engineering and Water Science and Technology, having authored 289 papers that have together received 9.3k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (142 papers), Water Quality Monitoring and Analysis (77 papers) and Land Use and Ecosystem Services (50 papers). The work is most often cited by research in Oceanography (3.3k citations), Industrial and Manufacturing Engineering (1.6k citations) and Water Science and Technology (2.4k citations). Kaishan Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zongming Wang, Zhidan Wen, Yingxin Shang, Ge Liu, Chong Fang, Jia Du, Lili Lyu, Bai Zhang, Mingming Jia and Dianwei Liu. Their work appears in journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.
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.