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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An ensemble mixed spatial model in estimating long-term and diurnal variations of PM2.5 in Taiwan
Pei-Yi Wong, Huey‐Jen Su, Shih‐Chun Candice Lung, et al.
The Science of The Total Environment (2023) Vol. 866, pp. 161336-161336
Open Access | Times Cited: 25

Showing 25 citing articles:

Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123008-123008
Closed Access | Times Cited: 33
A machine learning-based ensemble model for estimating diurnal variations of nitrogen oxide concentrations in Taiwan
Aji Kusumaning Asri, Hsiao‐Yun Lee, Yu‐Ling Chen, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170209-170209
Closed Access | Times Cited: 8
PM2.5 Estimation using Machine Learning Models and Satellite Data: A Literature Review
Mitra Unik, Imas Sukaesih Sitanggang, Lailan Syaufina, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 15
Yearly change in air pollution and brain aging among older adults: A community-based study in Taiwan
Ying-Cen Lin, Kang-Chen Fan, Chih‐Da Wu, et al.
Environment International (2024) Vol. 190, pp. 108876-108876
Open Access | Times Cited: 4
Accurate long-term dust concentration prediction in open-pit mines: A novel machine learning approach integrating meteorological conditions and mine production intensity
Yukun Yang, Wei Zhou, Zhiming Wang, et al.
Journal of Cleaner Production (2023) Vol. 436, pp. 140411-140411
Closed Access | Times Cited: 10
Explainable geospatial-artificial intelligence models for the estimation of PM2.5 concentration variation during commuting rush hours in Taiwan
Pei-Yi Wong, Huey‐Jen Su, Shih‐Chun Candice Lung, et al.
Environmental Pollution (2024) Vol. 349, pp. 123974-123974
Closed Access | Times Cited: 3
Spatial prediction of on-road air pollution using long-term mobile monitoring: Insights from Delhi
Vikram Singh, Amit Agarwal
Urban Climate (2025) Vol. 60, pp. 102347-102347
Closed Access
Innovating Taiwan's greenhouse gas estimation: A case study of atmospheric methane using GeoAI-Based ensemble mixed spatial prediction model
Hao-Ting Chang, Yinq-Rong Chern, Aji Kusumaning Asri, et al.
Journal of Environmental Management (2025) Vol. 380, pp. 125110-125110
Closed Access
Predicting particulate matter (PM2.5) air pollution levels in Almaty city using machine learning techniques
Alibek Issakhov, Nurtugan Rysmambetov, Aizhan Abylkassymova
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 4
Closed Access
Chemical Characterization and Oxidative Potential of Persistent Organic Pollutants (POPs) in Size-Resolved Particulate Matter Across Industrial and Traffic Stations
Shahzada Amani Room, Po Jui Chen, Zhi Chen, et al.
Environmental Research (2025), pp. 121747-121747
Closed Access
Geospatial artificial intelligence for estimating daytime and nighttime nitrogen dioxide concentration variations in Taiwan: A spatial prediction model
Jennieveive Babaan, Pei-Yi Wong, Pau‐Chung Chen, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121198-121198
Closed Access | Times Cited: 3
Enhanced PM2.5 estimation across China: An AOD-independent two-stage approach incorporating improved spatiotemporal heterogeneity representations
Q. Chen, Kaiwen Shao, Songlin Zhang
Journal of Environmental Management (2024) Vol. 368, pp. 122107-122107
Open Access | Times Cited: 2
An Ensemble Machine Learning Model to Enhance Extrapolation Ability of Predicting Coarse Particulate Matter with High Resolutions in China
Su Shi, Renjie Chen, Peng Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 43, pp. 19325-19337
Closed Access | Times Cited: 2
Effects of feature selection methods in estimating SO2 concentration variations using machine learning and stacking ensemble approach
Pei-Yi Wong, Yu-Ting Zeng, Huey‐Jen Su, et al.
Environmental Technology & Innovation (2024) Vol. 37, pp. 103996-103996
Open Access | Times Cited: 2
Spatial patterns of the diurnal variations of PM2.5 and their influencing factors across China
Junli Liu, Siyuan Wang, Kemin Zhu, et al.
Atmospheric Environment (2023) Vol. 318, pp. 120215-120215
Closed Access | Times Cited: 6
A study on air pollution exposure of “first and last mile” urban commuters under space-behavior dual verification based on big data, land-use regression model and space syntax
Xin Li, Tao Yang, Ziqian Zhu, et al.
Journal of Cleaner Production (2023) Vol. 419, pp. 138244-138244
Closed Access | Times Cited: 5
What is the spatiotemporal pattern of benzene concentration spread over susceptible area surrounding the Hartman Park community, Houston, Texas?
Aji Kusumaning Asri, Galen Newman, Zhihan Tao, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134666-134666
Closed Access | Times Cited: 1
Temporal heterogeneity in the performance of machine learning models for PM2.5 concentration estimation
Peizheng Li, Shiqi Huang, Chenxi Luo, et al.
Process Safety and Environmental Protection (2024) Vol. 189, pp. 977-984
Open Access | Times Cited: 1
Comprehensive analysis of compost maturity differences across stages and materials with statistical models
Shang Ding, Donglei Wu
Waste Management (2024) Vol. 193, pp. 250-260
Closed Access | Times Cited: 1
Impact assessment of spatial–temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling
Ho‐Wen Chen, Chien‐Yuan Chen, Guan-Yu Lin
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 16048-16065
Closed Access | Times Cited: 1
Data analysis and preprocessing techniques for air quality prediction: a survey
Chengqing Yu, Jing Tan, Yihan Cheng, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 6, pp. 2095-2117
Closed Access | Times Cited: 1
Environmental and geographical factors influencing the spread of SARS-CoV-2 over 2 years: a fine-scale spatiotemporal analysis
David De Ridder, Anaïs Ladoy, Yangji Choi, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
Long-term spatiotemporal variation of benzo[a]pyrene in Japan: Significant decrease in ambient concentrations, human exposure, and health risk
Shin Araki, Hikari Shimadera, Satoru Chatani, et al.
Environmental Pollution (2024) Vol. 360, pp. 124650-124650
Closed Access
An Innovative Geo-AI Approach in Estimating High-Resolution Urban Ambient Fungal Spore Variations
Pei-Yi Wong, Huey‐Jen Su, Hsing Jasmine Chao, et al.
Earth Systems and Environment (2024)
Closed Access
Theoretical Study to Support Proposed Framework for Spatial Modeling of PM2.5 Concentration in Pekanbaru City
Retno Tri Wahyuni, Dirman Hanafi, Razali Tomari, et al.
(2024), pp. 13-18
Closed Access
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