Chia-Hsiang Lai

970 citations
45 papers · 800 indexed · h-index 19
Topics
Air Quality and Health Impacts (30 papers)Atmospheric chemistry and aerosols (19 papers)Air Quality Monitoring and Forecasting (10 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Chia-Hsiang Lai

43 papers receiving 770 citations

Peers

Chia-Hsiang Lai
Comparison fields: 5 of 98
  • Health, Toxicology and Mutagenesis 507
  • Atmospheric Science 338
  • Environmental Engineering 207
  • Automotive Engineering 124
  • Pollution 74
Replace Jianguo Deng with:
Jianguo Deng China
Yufang Hao China
Yan You China
Xuefang Wu China
Sameer Patel United States
Ch. Vasilakos Greece
Mark D. Gibson Canada
Eduardo Monteiro Martins Brazil
Rabah Kerbachi Algeria
Chia-Hsiang Lai relative to Jianguo Deng China Jianguo Deng's profile →
Citations per field
00.5×1.5×
Jianguo Deng · 1×
Citations per year

Countries citing papers authored by Chia-Hsiang Lai

Since Specialization
Citations

This map shows the geographic impact of Chia-Hsiang Lai'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 Chia-Hsiang Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Hsiang Lai more than expected).

Fields of papers citing papers by Chia-Hsiang Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hsiang Lai. 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 Chia-Hsiang Lai. The network helps show where Chia-Hsiang Lai may publish in the future.

Co-authorship network of co-authors of Chia-Hsiang Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Hsiang Lai. A scholar is included among the top collaborators of Chia-Hsiang Lai 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 Chia-Hsiang Lai. Chia-Hsiang Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 16
5 22
6 4
7 22
8 36
9 48
10 11
11 16
12 20
13 7
14 12
15 11
16 10
17 12
18 43
19 40
20 20

About Chia-Hsiang Lai

Chia-Hsiang Lai is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering, having authored 45 papers that have together received 800 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (30 papers), Atmospheric chemistry and aerosols (19 papers) and Air Quality Monitoring and Forecasting (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (507 citations), Atmospheric Science (338 citations) and Environmental Engineering (207 citations). Chia-Hsiang Lai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yen-Ping Peng, Kang-Shin Chen, Chia‐Hua Lin, K.S. Chen, Hsin‐Kai Wang, Kuen‐Suan Chen, Ku‐Fan Chen, Shih‐Chun Candice Lung, Youn-Min Chou and Shui‐Jen Chen. Their work appears in journals such as The Science of The Total Environment, Journal of Hazardous Materials and Chemosphere.

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.

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