Song Yang
- Materials Chemistry top 10%
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- K.-M. LauFengjia FanHuaibin ShenHaiguang ZhaoJiaojiao SongAbolfazl BayatSougato BoseHuaiyu Xu
- Topics
- Quantum Information and Cryptography (11 papers)Quantum Dots Synthesis And Properties (7 papers)Quantum Mechanics and Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyApplied Physics Letters
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Song Yang
32 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Materials Chemistry 400
- Atmospheric Science 388
- Global and Planetary Change 388
- Electrical and Electronic Engineering 289
- Atomic and Molecular Physics, and Optics 217
Countries citing papers authored by Song Yang
This map shows the geographic impact of Song Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Yang more than expected).
Fields of papers citing papers by Song Yang
This network shows the impact of papers produced by Song Yang. 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 Yang. The network helps show where Song Yang may publish in the future.
Co-authorship network of co-authors of Song Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Song Yang. A scholar is included among the top collaborators of Song Yang 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 Song Yang. Song Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 19 | |
| 7 | 47 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | Minimizing heat generation in quantum dot light-emitting diodes by increasing quasi-Fermi-level splittingbreakdown → | 129 |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 74 | |
| 14 | 0 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 21 |
About Song Yang
Song Yang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Energy Engineering and Power Technology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Quantum Dots Synthesis And Properties (7 papers) and Quantum Mechanics and Applications (6 papers). The work is most often cited by research in Atmospheric Science (388 citations), Global and Planetary Change (388 citations) and Oceanography (147 citations). Song Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include K.-M. Lau, Fengjia Fan, Huaibin Shen, Haiguang Zhao, Jiaojiao Song, Abolfazl Bayat, Sougato Bose, Huaiyu Xu, ShengLi Zhang and Qiang Jing. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Applied Physics Letters.
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.