Weijing Song
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Remote Sensing and Land Use
Papers in
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- Remote-Sensing Image Classification 8
- Advanced Image Fusion Techniques 3
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- Image and Signal Denoising Methods 3
- Journals
- Multimedia Tools and Applications (3 papers)ISPRS International Journal of Geo-Information (2 papers)Remote Sensing (2 papers)International Journal of Applied Earth Observation and Geoinformation (2 papers)IEEE Systems Journal (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Weijing Song
32 papers receiving 568 citations
Peers
Comparison fields: 5 of 90
- Media Technology 169
- Atmospheric Science 99
- Global and Planetary Change 116
- Ecology 124
- Computer Vision and Pattern Recognition 90
Countries citing papers authored by Weijing Song
This map shows the geographic impact of Weijing 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 Weijing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijing Song more than expected).
Fields of papers citing papers by Weijing Song
This network shows the impact of papers produced by Weijing 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 Weijing Song. The network helps show where Weijing Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijing 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 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 28 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 4 | |
| 11 | 2019 | 1 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 4 | |
| 15 | 2017 | 6 | |
| 16 | 2017 | 1 | |
| 17 | 2017 | 9 | |
| 18 | 2016 | 15 | |
| 19 | 2014 | 6 | |
| 20 | 2013 | 9 |
About Weijing Song
Weijing Song is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Management and Management Science and Operations Research, having authored 33 papers that have together received 588 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Remote Sensing and Land Use (6 papers), Distributed and Parallel Computing Systems (4 papers), Image and Signal Denoising Methods (3 papers), Advanced Image Fusion Techniques (3 papers), Remote Sensing in Agriculture (3 papers), Time Series Analysis and Forecasting (3 papers) and Auction Theory and Applications (3 papers). The work is most often cited by research in Media Technology (169 citations), Atmospheric Science (99 citations), Global and Planetary Change (116 citations), Ecology (124 citations) and Computer Vision and Pattern Recognition (90 citations). Weijing Song has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lizhe Wang, Jining Yan, Xiaodao Chen, Ze Deng, Runyu Fan, Peng Liu, Yunliang Chen, Peng Liu, Wei Han and Jingbo Wei. Their work appears in journals such as Multimedia Tools and Applications, ISPRS International Journal of Geo-Information, Remote Sensing, International Journal of Applied Earth Observation and Geoinformation and IEEE Systems Journal.
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.