Kuo‐Jen Liao
- Health, Toxicology and Mutagenesis top 2%
- Atmospheric Science top 5%
- Global and Planetary Change top 10%
- Environmental Engineering top 10%
- Automotive Engineering top 10%
- Co-authors
- Armistead G. RussellPraveen AmarEfthimios TagarisJung‐Hun WooKasemsan ManomaiphiboonShan HeXiangting HouAnthony J. DeLucia
- Topics
- Air Quality and Health Impacts (16 papers)Atmospheric chemistry and aerosols (15 papers)Atmospheric Ozone and Climate (6 papers)
- Journals
- Journal of Geophysical Research AtmospheresEnvironmental Science & TechnologyGeophysical Research Letters
- Partner nations
- United StatesThailandSouth Korea
In The Last Decade
Kuo‐Jen Liao
17 papers receiving 567 citations
Peers
Comparison fields: 5 of 59
- Health, Toxicology and Mutagenesis 432
- Atmospheric Science 382
- Global and Planetary Change 167
- Environmental Engineering 117
- Automotive Engineering 55
Countries citing papers authored by Kuo‐Jen Liao
This map shows the geographic impact of Kuo‐Jen Liao'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 Kuo‐Jen Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo‐Jen Liao more than expected).
Fields of papers citing papers by Kuo‐Jen Liao
This network shows the impact of papers produced by Kuo‐Jen Liao. 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 Kuo‐Jen Liao. The network helps show where Kuo‐Jen Liao may publish in the future.
Co-authorship network of co-authors of Kuo‐Jen Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Jen Liao. A scholar is included among the top collaborators of Kuo‐Jen Liao 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 Kuo‐Jen Liao. Kuo‐Jen Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 44 | |
| 4 | 29 | |
| 5 | 19 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 26 | |
| 11 | 147 | |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 17 | |
| 15 | 10 | |
| 16 | 169 | |
| 17 | 33 |
About Kuo‐Jen Liao
Kuo‐Jen Liao is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering, having authored 17 papers that have together received 589 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (16 papers), Atmospheric chemistry and aerosols (15 papers) and Atmospheric Ozone and Climate (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (432 citations), Atmospheric Science (382 citations) and Environmental Engineering (117 citations). Kuo‐Jen Liao has collaborated with scholars based in United States, Thailand and South Korea. Frequent co-authors include Armistead G. Russell, Praveen Amar, Efthimios Tagaris, Jung‐Hun Woo, Kasemsan Manomaiphiboon, Shan He, Xiangting Hou, Anthony J. DeLucia, Leland Deck and L. Ruby Leung. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Geophysical Research 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.