Kai Hsien

2.6k total citations
88 papers, 1.8k citations indexed

About

Kai Hsien is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Kai Hsien has authored 88 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Health, Toxicology and Mutagenesis, 36 papers in Atmospheric Science and 14 papers in Global and Planetary Change. Recurrent topics in Kai Hsien's work include Toxic Organic Pollutants Impact (51 papers), Air Quality and Health Impacts (50 papers) and Atmospheric chemistry and aerosols (36 papers). Kai Hsien is often cited by papers focused on Toxic Organic Pollutants Impact (51 papers), Air Quality and Health Impacts (50 papers) and Atmospheric chemistry and aerosols (36 papers). Kai Hsien collaborates with scholars based in Taiwan, United States and China. Kai Hsien's co-authors include Moo Been Chang, Shu Hao Chang, S.-J. Kao, Sheng‐Hsiang Wang, Nguyen Hung Minh, Hyo-Bang Moon, Yi-Fan Li, Hongliang Jia, Haruhiko Nakata and Kurunthachalam Kannan and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Kai Hsien

83 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Hsien Taiwan 26 1.4k 567 293 215 194 88 1.8k
Peipei Qiu China 15 708 0.5× 421 0.7× 261 0.9× 100 0.5× 99 0.5× 21 1.3k
Xing Peng China 24 1.1k 0.8× 812 1.4× 238 0.8× 159 0.7× 172 0.9× 61 1.7k
Yetkin Dumanoğlu Türkiye 24 1.2k 0.9× 578 1.0× 433 1.5× 84 0.4× 95 0.5× 40 1.6k
Αθανάσιος Κούρας Greece 20 1.1k 0.8× 516 0.9× 385 1.3× 79 0.4× 92 0.5× 36 1.7k
Shuo Yang China 18 491 0.4× 399 0.7× 150 0.5× 160 0.7× 168 0.9× 63 1.3k
Ningning Zhang China 24 1.2k 0.9× 1.1k 1.9× 324 1.1× 179 0.8× 332 1.7× 82 1.9k
Violeta Múgica-Álvarez Mexico 25 1.3k 1.0× 681 1.2× 301 1.0× 168 0.8× 146 0.8× 94 2.0k
Ana F. L. Godoi Brazil 24 973 0.7× 417 0.7× 205 0.7× 87 0.4× 171 0.9× 56 1.6k
Miao Xue China 19 1.5k 1.1× 678 1.2× 687 2.3× 89 0.4× 128 0.7× 35 2.0k
Deming Han China 21 715 0.5× 371 0.7× 260 0.9× 101 0.5× 177 0.9× 47 1.3k

Countries citing papers authored by Kai Hsien

Since Specialization
Citations

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

Fields of papers citing papers by Kai Hsien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Hsien. 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 Kai Hsien. The network helps show where Kai Hsien may publish in the future.

Co-authorship network of co-authors of Kai Hsien

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Hsien. A scholar is included among the top collaborators of Kai Hsien 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 Kai Hsien. Kai Hsien 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
1.
Lin, Yi-Pin, Ta-Chih Hsiao, Pei‐Ling Wang, et al.. (2025). Source apportionment and mechanistic analysis of PM2.5 nitrate: interplay of OH and N2O5 in spatial and temporal variations. The Science of The Total Environment. 989. 179813–179813.
2.
Yu, Chia-Pin, Renchao Xie, Shih‐Chun Candice Lung, et al.. (2025). Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach. Ecological Indicators. 175. 113526–113526.
3.
Hsien, Kai, Sheng‐Lun Lin, Charles C.‐K. Chou, et al.. (2025). Spatiotemporal variations and risks assessment of PAH-bound suspended particles across different Asian countries: Insights from multi-city sampling and source apportionment. Environmental Research. 285(Pt 1). 122313–122313.
4.
5.
Liu, Wan‐Yu, Chin-Yu Hsu, Ta-Chih Hsiao, et al.. (2025). Innovating Taiwan's greenhouse gas estimation: A case study of atmospheric methane using GeoAI-Based ensemble mixed spatial prediction model. Journal of Environmental Management. 380. 125110–125110. 2 indexed citations
6.
Wu, Yidong, et al.. (2024). Toxicity, mutagenicity, and source identification of polycyclic aromatic hydrocarbons in ambient atmosphere and flue gas. Environmental Science and Pollution Research. 31(56). 64688–64702. 1 indexed citations
7.
Chuang, Ming‐Tung, Charles C.‐K. Chou, Chung‐Te Lee, et al.. (2024). Characteristics and impacts of fine particulates from the largest power plant plume in Taiwan. Atmospheric Pollution Research. 15(5). 102076–102076. 2 indexed citations
8.
Hsiao, Ta-Chih, et al.. (2023). Incremental Lifetime Cancer Risk of PAHs in PM2.5 via Local Emissions and Long-Range Transport during Winter. Aerosol and Air Quality Research. 23(3). 220319–220319. 8 indexed citations
9.
Bacha, Aziz-Ur-Rahim, Iqra Nabi, Shabir Ahmad, et al.. (2023). Assessment of heavy metals among auto workers in metropolitan city: a case study. Frontiers in Public Health. 11. 1277182–1277182. 5 indexed citations
10.
Ting, Yu-Chieh, et al.. (2023). Characteristics and Source-specific Health Risks of Ambient PM2.5-bound PAHs in an Urban City of Northern Taiwan. Aerosol and Air Quality Research. 23(11). 230092–230092. 9 indexed citations
11.
Hsu, Chin-Yu, Jhy‐Charm Soo, Sheng‐Lun Lin, et al.. (2022). Using cluster algorithms with a machine learning technique and PMF models to quantify local-specific origins of PM2.5 and associated metals in Taiwan. Environmental Pollution. 316(Pt 2). 120652–120652. 8 indexed citations
12.
Lin, Minhua, et al.. (2021). Effect of triclosan on the pathogenesis of allergic diseases among children. Journal of Exposure Science & Environmental Epidemiology. 32(1). 60–68. 13 indexed citations
13.
Chang, Moo Been, et al.. (2021). Characteristics of PCDD/Fs in PM2.5 from emission stacks and the nearby ambient air in Taiwan. Scientific Reports. 11(1). 8093–8093. 9 indexed citations
14.
15.
Dat, Nguyen Duy, et al.. (2019). Measurement of PCNs in sediments collected from reservoir and river in northern Taiwan. Ecotoxicology and Environmental Safety. 174. 384–389. 19 indexed citations
16.
Hsien, Kai, et al.. (2018). Sources identification of PCDD/Fs in soil and atmospheric deposition in Taiwan. Chemosphere. 208. 374–381. 29 indexed citations
17.
Hsien, Kai, et al.. (2013). Sources and deposition fluxes of PCDD/Fs in a high-mountain lake in central Taiwan. Chemosphere. 91(2). 150–156. 8 indexed citations
18.
Hsien, Kai, Chuan‐Yao Lin, Sheng‐Hsiang Wang, et al.. (2012). Evaluation of the distributions of ambient PCDD/Fs at remote locations in and around Taiwan. Atmospheric Environment. 78. 203–210. 11 indexed citations
19.
Hsien, Kai, et al.. (2009). Atmospheric deposition of PCDD/Fs measured via automated and traditional samplers in Northern Taiwan. Chemosphere. 77(9). 1184–1190. 20 indexed citations
20.
Hsien, Kai, et al.. (2008). Increases in ambient PCDD/F and PCB concentrations in Northern Taiwan during an Asian dust storm episode. The Science of The Total Environment. 401(1-3). 100–108. 42 indexed citations

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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