Song Song
- General Energy top 5%
- Economics and Econometrics top 5%
-
- Monetary Policy and Economic Impact 3
- Finance top 5%
- Media Technology top 5%
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- Optical Wireless Communication Technologies 27
- Advanced Photonic Communication Systems 17
- Optical Network Technologies 9
- Advanced Fiber Optic Sensors 3
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- Statistical Methods and Inference 8
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- Radio Wave Propagation Studies 4
- Satellite Communication Systems 4
- Journals
- Optics Express (5 papers)Journal of Lightwave Technology (3 papers)Journal of Multivariate Analysis (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Song Song
63 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- General Energy 18
- Economics and Econometrics 370
- General Economics, Econometrics and Finance 110
- Finance 129
- Media Technology 77
Countries citing papers authored by Song Song
This map shows the geographic impact of Song 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 Song Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Song more than expected).
Fields of papers citing papers by Song Song
This network shows the impact of papers produced by Song 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 Song Song. The network helps show where Song Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song 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 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 1 | |
| 15 | Predictive Link Switching for Energy Efficient FSO/RF Communication System | 2019 | 2 |
| 16 | 2017 | 5 | |
| 17 | Inhibition mechanism of ammonium bicarbonate on Fusarium oxysporum | 2015 | 2 |
| 18 | 2013 | 15 | |
| 19 | 2012 | 97 | |
| 20 | TVD-STYLE FINITE VOLUME METHOD ON UNSTRUCTURED MESHES IN TWO DIMENSIONS | 2001 | 1 |
About Song Song
Song Song is a scholar working on Statistics and Probability, General Decision Sciences, Electrical and Electronic Engineering, Aerospace Engineering and Biological Psychiatry, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Optical Wireless Communication Technologies (27 papers), Advanced Photonic Communication Systems (17 papers), Optical Network Technologies (9 papers), Statistical Methods and Inference (8 papers), Radio Wave Propagation Studies (4 papers), Satellite Communication Systems (4 papers), Advanced Fiber Optic Sensors (3 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in General Energy (18 citations), Economics and Econometrics (370 citations), General Economics, Econometrics and Finance (110 citations), Finance (129 citations) and Media Technology (77 citations). Song Song has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wolfgang Karl Härdle, Kiho Jeong, Yejun Liu, Lei Guo, Hui Li, Jian Zhou, Mingfeng Xu, Lei Feng, Jun Shen and Victor C. Li. Their work appears in journals such as Optics Express, Journal of Lightwave Technology, Journal of Multivariate Analysis, Optics Letters 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.