Jia Song
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- Geographic Information Systems Studies 15
- Global and Planetary Change top 5%
- Plant Water Relations and Carbon Dynamics 7
- Flood Risk Assessment and Management 5
- Media Technology top 5%
- Atmospheric Science top 10%
- Tree-ring climate responses 6
- Environmental Engineering top 10%
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- Advanced Computational Techniques and Applications 8
- Semantic Web and Ontologies 7
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- Data Management and Algorithms 8
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- Advanced Measurement and Detection Methods 5
- Journals
- ISPRS International Journal of Geo-Information (6 papers)Tree Physiology (4 papers)Remote Sensing (4 papers)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Jia Song
79 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 117
- Geography, Planning and Development 139
- Global and Planetary Change 320
- Media Technology 110
- Atmospheric Science 186
- Environmental Engineering 123
Countries citing papers authored by Jia Song
This map shows the geographic impact of Jia 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 Jia Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Song more than expected).
Fields of papers citing papers by Jia Song
This network shows the impact of papers produced by Jia 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 Jia Song. The network helps show where Jia Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jia 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 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 28 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 21 | |
| 16 | Image segmentation method of lettuce leaf based on improved Otsu algorithm. | 2018 | 2 |
| 17 | 2018 | 26 | |
| 18 | 2014 | 3 | |
| 19 | An Analysis of Value-Creating Ability of Listed Companies in Shandong Island Blue Economic Zone Using EVA | 2012 | 1 |
| 20 | Study on Flowing and Moving Old People: Comments on Foreign Documents | 2005 | 1 |
About Jia Song
Jia Song is a scholar working on Geography, Planning and Development, Environmental Engineering and Signal Processing, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (15 papers), Advanced Computational Techniques and Applications (8 papers), Data Management and Algorithms (8 papers), Plant Water Relations and Carbon Dynamics (7 papers), Semantic Web and Ontologies (7 papers), Tree-ring climate responses (6 papers), Flood Risk Assessment and Management (5 papers) and Advanced Measurement and Detection Methods (5 papers). The work is most often cited by research in Geography, Planning and Development (139 citations), Global and Planetary Change (320 citations) and Media Technology (110 citations). Jia Song has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Yunqiang Zhu, Shaohua Gao, Guang‐You Hao, Kai Sun, Yaping Yang, Yangxiaoyue Liu, Da Yang, Xiaodan Zhao, Wenlong Jing and Miao Wang. Their work appears in journals such as ISPRS International Journal of Geo-Information, Tree Physiology, Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and The Journal of Engineering.
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.