Lin Song
- Speech and Hearing top 0.5%
- Noise Effects and Management 5
- General Health Professions top 2%
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- Air Quality and Health Impacts 4
- Physiology top 5%
- Asthma and respiratory diseases 8
- Health top 5%
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- Wireless Communication Security Techniques 8
- Advanced Wireless Communication Techniques 5
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- China's Socioeconomic Reforms and Governance 5
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- Cooperative Communication and Network Coding 5
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- Asian Culture and Media Studies 5
- Co-authors
- JAMES KRIEGERTim K. TakaroMarcia R. WeaverNancy BeaudetDiane P. MartinRobert H. FletcherTimothy TakaroJames W. Stout
- Journals
- Cancer (1 paper)American Journal of Public Health (5 papers)IEEE Transactions on Information Theory (6 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Lin Song
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Speech and Hearing 388
- General Health Professions 516
- Health, Toxicology and Mutagenesis 250
- Physiology 421
- Health 125
Countries citing papers authored by Lin Song
This map shows the geographic impact of Lin 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 Lin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Song more than expected).
Fields of papers citing papers by Lin Song
This network shows the impact of papers produced by Lin 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 Lin Song. The network helps show where Lin Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lin 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 | 2022 | 11 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 8 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 5 | |
| 9 | 2018 | 5 | |
| 10 | 2017 | 2 | |
| 11 | 2016 | 20 | |
| 12 | 2016 | 9 | |
| 13 | 2011 | 19 | |
| 14 | 2010 | 64 | |
| 15 | 2009 | 127 | |
| 16 | 2007 | 16 | |
| 17 | 2002 | 114 | |
| 18 | 2000 | 84 | |
| 19 | 1999 | 98 | |
| 20 | 1998 | 48 |
About Lin Song
Lin Song is a scholar working on Speech and Hearing, Cultural Studies and Gender Studies, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (8 papers), Asthma and respiratory diseases (8 papers), China's Socioeconomic Reforms and Governance (5 papers), Cooperative Communication and Network Coding (5 papers), Advanced Wireless Communication Techniques (5 papers), Noise Effects and Management (5 papers), Asian Culture and Media Studies (5 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Speech and Hearing (388 citations), General Health Professions (516 citations) and Health, Toxicology and Mutagenesis (250 citations). Lin Song has collaborated with scholars based in United States, China and Canada. Frequent co-authors include JAMES KRIEGER, Tim K. Takaro, Marcia R. Weaver, Nancy Beaudet, JAMES KRIEGER, Diane P. Martin, Robert H. Fletcher, Timothy Takaro, James W. Stout and Patrick Hosokawa. Their work appears in journals such as Cancer, American Journal of Public Health and IEEE Transactions on Information Theory.
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.