Ho‐Tang Liao

488 total citations
25 papers, 384 citations indexed

About

Ho‐Tang Liao is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Ho‐Tang Liao has authored 25 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 19 papers in Atmospheric Science and 14 papers in Environmental Engineering. Recurrent topics in Ho‐Tang Liao's work include Air Quality and Health Impacts (21 papers), Atmospheric chemistry and aerosols (19 papers) and Air Quality Monitoring and Forecasting (14 papers). Ho‐Tang Liao is often cited by papers focused on Air Quality and Health Impacts (21 papers), Atmospheric chemistry and aerosols (19 papers) and Air Quality Monitoring and Forecasting (14 papers). Ho‐Tang Liao collaborates with scholars based in Taiwan, United States and Malaysia. Ho‐Tang Liao's co-authors include Chang‐Fu Wu, Charles C.‐K. Chou, Philip K. Hopke, John G. Watson, Judith C. Chow, Kuen‐Yuh Wu, Shih‐Wei Tsai, Su‐Yin Chiang, Chia‐Jung Hsieh and Pau‐Chung Chen and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.

In The Last Decade

Ho‐Tang Liao

24 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ho‐Tang Liao Taiwan 10 277 196 156 59 41 25 384
Adriana Pietrodangelo Italy 11 357 1.3× 254 1.3× 178 1.1× 58 1.0× 88 2.1× 15 504
Abba Elizabeth Joseph India 10 335 1.2× 235 1.2× 188 1.2× 81 1.4× 31 0.8× 11 431
Kyriaki A. Bairachtari Greece 10 238 0.9× 148 0.8× 104 0.7× 50 0.8× 36 0.9× 15 405
Donald A. Whitaker United States 15 339 1.2× 94 0.5× 155 1.0× 54 0.9× 31 0.8× 21 530
Pascual Pérez Ballesta Italy 10 337 1.2× 165 0.8× 140 0.9× 65 1.1× 25 0.6× 22 431
Hongmao Tang United States 11 288 1.0× 165 0.8× 130 0.8× 59 1.0× 12 0.3× 23 426
Leon R. Hibbs United Kingdom 6 372 1.3× 135 0.7× 89 0.6× 48 0.8× 129 3.1× 11 426
Rodrigo Seguel Chile 13 431 1.6× 251 1.3× 254 1.6× 79 1.3× 47 1.1× 22 634
Jenna C. Ditto United States 14 289 1.0× 310 1.6× 106 0.7× 27 0.5× 16 0.4× 29 494
Anjaneyulu Yerramilli United States 13 175 0.6× 206 1.1× 94 0.6× 27 0.5× 25 0.6× 20 483

Countries citing papers authored by Ho‐Tang Liao

Since Specialization
Citations

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

Fields of papers citing papers by Ho‐Tang Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho‐Tang 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 Ho‐Tang Liao. The network helps show where Ho‐Tang Liao may publish in the future.

Co-authorship network of co-authors of Ho‐Tang Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Ho‐Tang Liao. A scholar is included among the top collaborators of Ho‐Tang 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 Ho‐Tang Liao. Ho‐Tang Liao 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.
Huang, Chun‐Sheng, Fu‐Cheng Wang, Chu‐Chih Chen, et al.. (2025). Estimating and characterizing spatiotemporal distributions of elemental PM2.5 using an ensemble machine learning approach in Taiwan. Atmospheric Pollution Research. 16(5). 102463–102463. 2 indexed citations
2.
Huang, Chun‐Sheng, Ho‐Tang Liao, & Chang‐Fu Wu. (2024). Integrating spatially distributed data into Positive Matrix Factorization to identify the hotspots of local emission sources. Atmospheric Research. 307. 107475–107475.
3.
Liao, Ho‐Tang, et al.. (2024). Vertical variation of source-apportioned PM2.5 and selected volatile organic compounds near an elevated expressway in an urban area. Environmental Science and Pollution Research. 31(13). 20477–20487. 2 indexed citations
4.
Huang, Chun‐Sheng, et al.. (2024). Improvements in source apportionment of multiple time-resolved PM2.5 inorganic and organic speciation measurements using constrained Positive Matrix Factorization. Environmental Science and Pollution Research. 31(55). 64185–64198. 1 indexed citations
5.
Huang, Chun‐Sheng, Ho‐Tang Liao, C. Chen, et al.. (2023). Characterizing PM2.5 Secondary Aerosols via a Fusion Strategy of Two-stage Positive Matrix Factorization and Robust Regression. Aerosol and Air Quality Research. 23(12). 230121–230121. 3 indexed citations
6.
Liao, Ho‐Tang, et al.. (2023). Vertical Characteristics of Potential PM2.5 Sources in the Urban Environment. Aerosol and Air Quality Research. 23(3). 220361–220361. 9 indexed citations
7.
Huang, Chun‐Sheng, et al.. (2022). Identifying and quantifying PM2.5 pollution episodes with a fusion method of moving window technique and constrained Positive Matrix Factorization. Environmental Pollution. 315. 120382–120382. 9 indexed citations
8.
Liao, Ho‐Tang & Chang‐Fu Wu. (2020). Trajectory-Assisted Source Apportionment of Winter-Time Aerosol Using Semi-continuous Measurements. Archives of Environmental Contamination and Toxicology. 78(3). 430–438. 8 indexed citations
9.
Chuang, Hsiao‐Chi, Hsin‐Chang Chen, Ho‐Tang Liao, et al.. (2020). Neuropathology changed by 3- and 6-months low-level PM2.5 inhalation exposure in spontaneously hypertensive rats. Particle and Fibre Toxicology. 17(1). 59–59. 21 indexed citations
10.
Liao, Ho‐Tang, et al.. (2020). Enhanced Receptor Modeling Using Expanded Equations with Parametric Variables for Secondary Components of PM2.5. Aerosol and Air Quality Research. 21(3). 200549–200549. 5 indexed citations
11.
12.
Liao, Ho‐Tang, et al.. (2019). Vertical distribution of source apportioned PM2.5 using particulate-bound elements and polycyclic aromatic hydrocarbons in an urban area. Journal of Exposure Science & Environmental Epidemiology. 30(4). 659–669. 9 indexed citations
13.
LEE, C, Charles C.‐K. Chou, Hing Cho Cheung, et al.. (2018). Seasonal variation of chemical characteristics of fine particulate matter at a high-elevation subtropical forest in East Asia. Environmental Pollution. 246. 668–677. 25 indexed citations
14.
Liao, Ho‐Tang, Chun‐Sheng Huang, Judith C. Chow, et al.. (2017). Source apportionment of urban air pollutants using constrained receptor models with a priori profile information. Environmental Pollution. 227. 323–333. 30 indexed citations
15.
Liao, Ho‐Tang, Charles C.‐K. Chou, Sheng-Hsiu Huang, et al.. (2017). Source apportionment of PM 2.5 size distribution and composition data from multiple stationary sites using a mobile platform. Atmospheric Research. 190. 21–28. 12 indexed citations
16.
Liao, Ho‐Tang, Charles C.‐K. Chou, Judith C. Chow, et al.. (2015). Source and risk apportionment of selected VOCs and PM2.5 species using partially constrained receptor models with multiple time resolution data. Environmental Pollution. 205. 121–130. 77 indexed citations
17.
Liao, Ho‐Tang, et al.. (2013). Evaluation of a Modified Receptor Model for Solving Multiple Time Resolution Equations: A Simulation Study. Aerosol and Air Quality Research. 13(4). 1253–1262. 20 indexed citations
18.
Liao, Ho‐Tang, et al.. (2013). Source apportionment of particulate matter and selected volatile organic compounds with multiple time resolution data. The Science of The Total Environment. 472. 880–887. 54 indexed citations
19.
Chiang, Su‐Yin, et al.. (2011). Analysis of urinary aristolactams by on-line solid-phase extraction coupled with liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 879(25). 2494–2500. 6 indexed citations
20.

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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