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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:

Examining the spatially varying effects of factors on PM2.5 concentrations in Chinese cities using geographically weighted regression modeling
Jieyu Wang, Shaojian Wang, Shijie Li
Environmental Pollution (2019) Vol. 248, pp. 792-803
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

A geographically weighted regression model augmented by Geodetector analysis and principal component analysis for the spatial distribution of PM2.5
Rui Zhao, Liping Zhan, Mingxing Yao, et al.
Sustainable Cities and Society (2020) Vol. 56, pp. 102106-102106
Closed Access | Times Cited: 192
Exploring differentiated impacts of socioeconomic factors and urban forms on city-level CO2 emissions in China: Spatial heterogeneity and varying importance levels
Zeng Li, Fei Wang, Tingting Kang, et al.
Sustainable Cities and Society (2022) Vol. 84, pp. 104028-104028
Closed Access | Times Cited: 96
Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China
Ruoyu Wang, Bo‐Yi Yang, Yao Yao, et al.
The Science of The Total Environment (2019) Vol. 711, pp. 134843-134843
Open Access | Times Cited: 134
How does urban form influence PM2.5 concentrations: Insights from 350 different-sized cities in the rapidly urbanizing Yangtze River Delta region of China, 1998–2015
Yu Tao, Zhen Zhang, Weixin Ou, et al.
Cities (2019) Vol. 98, pp. 102581-102581
Closed Access | Times Cited: 96
Dynamics, differences, influencing factors of eco-efficiency in China: A spatiotemporal perspective analysis
Qianqian Liu, Shaojian Wang, Bo Li, et al.
Journal of Environmental Management (2020) Vol. 264, pp. 110442-110442
Closed Access | Times Cited: 93
Impacts of natural and socioeconomic factors on PM2.5 from 2014 to 2017
Yichen Wang, ChenGuang Liu, Qiyuan Wang, et al.
Journal of Environmental Management (2021) Vol. 284, pp. 112071-112071
Closed Access | Times Cited: 68
Spatial temporal patterns and driving factors of industrial pollution and structures in the Yangtze River Economic Belt
Yazhu Wang, Xuejun Duan, Lingqing Wang, et al.
Chemosphere (2022) Vol. 303, pp. 134996-134996
Closed Access | Times Cited: 53
Spatial analysis of financial development's effect on the ecological footprint of belt and road initiative countries: Mitigation options through renewable energy consumption and institutional quality
AL-Barakani Abdo, Bin Li, Xiaodong Zhang, et al.
Journal of Cleaner Production (2022) Vol. 366, pp. 132696-132696
Closed Access | Times Cited: 40
Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots
Haoze Shi, Naisen Yang, Xin Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 358-358
Open Access | Times Cited: 26
Effects of Urban Compactness and Complexity on PM2.5 Concentration: The Case Study of Tehran Metropolis
Soheil Gheshlaghpoor, Behnaz Amin Zadeh Gohar Rizi
International Journal of Environmental Research (2025) Vol. 19, Iss. 3
Closed Access | Times Cited: 1
Spatiotemporal mapping and multiple driving forces identifying of PM2.5 variation and its joint management strategies across China
Xiyao Chen, Fei Li, Jingdong Zhang, et al.
Journal of Cleaner Production (2019) Vol. 250, pp. 119534-119534
Closed Access | Times Cited: 67
Spatial distribution and determinants of PM2.5 in China’s cities: fresh evidence from IDW and GWR
Kuiying Gu, Yi Zhou, Hui Sun, et al.
Environmental Monitoring and Assessment (2020) Vol. 193, Iss. 1
Closed Access | Times Cited: 58
Investigation of the spatially varying relationships of PM2.5 with meteorology, topography, and emissions over China in 2015 by using modified geographically weighted regression
Qianqian Yang, Qiangqiang Yuan, Linwei Yue, et al.
Environmental Pollution (2020) Vol. 262, pp. 114257-114257
Open Access | Times Cited: 53
A CatBoost approach with wavelet decomposition to improve satellite-derived high-resolution PM2.5 estimates in Beijing-Tianjin-Hebei
Yu Ding, Zuoqi Chen, Wenfang Lu, et al.
Atmospheric Environment (2021) Vol. 249, pp. 118212-118212
Closed Access | Times Cited: 46
Driving factors for coordinating urbanization with conservation of the ecological environment in China
Zhaoyang Cai, Weiming Li, Shixiong Cao
AMBIO (2021) Vol. 50, Iss. 6, pp. 1269-1280
Open Access | Times Cited: 43
Relationships between urban form and air quality: A reconsideration based on evidence from China’s five urban agglomerations during the COVID-19 pandemic
Jianing Sun, Tao Zhou, Di Wang
Land Use Policy (2022) Vol. 118, pp. 106155-106155
Open Access | Times Cited: 36
Urban form and air pollution: Clustering patterns of urban form factors related to particulate matter in Seoul, Korea
Haesung Ahn, Jeongwoo Lee, Andy Hong
Sustainable Cities and Society (2022) Vol. 81, pp. 103859-103859
Closed Access | Times Cited: 34
Cellulose for the Production of Air-Filtering Systems: A Critical Review
Martina Lippi, Laura Riva, Manfredi Caruso, et al.
Materials (2022) Vol. 15, Iss. 3, pp. 976-976
Open Access | Times Cited: 33
The urban air quality nexus: Assessing the interplay of land cover change and air pollution in emerging South Asian cities
Milan Saha, Abdulla ‐ Al Kafy, Arpita Bakshi, et al.
Environmental Pollution (2024) Vol. 361, pp. 124877-124877
Closed Access | Times Cited: 7
Predicting Urban Waterlogging Risks by Regression Models and Internet Open-Data Sources
Ducthien Tran, Dawei Xu, Vanha Dang, et al.
Water (2020) Vol. 12, Iss. 3, pp. 879-879
Open Access | Times Cited: 41
Spatiotemporal evolution and the driving factors of PM2.5 in Chinese urban agglomerations between 2000 and 2017
Qilong Wu, Runxiu Guo, Jinhui Luo, et al.
Ecological Indicators (2021) Vol. 125, pp. 107491-107491
Open Access | Times Cited: 40
Effect of urban form on PM2.5 concentrations in urban agglomerations of China: Insights from different urbanization levels and seasons
Genhong Gao, Steven G. Pueppke, Qin Tao, et al.
Journal of Environmental Management (2022) Vol. 327, pp. 116953-116953
Closed Access | Times Cited: 27
Examining the spatially varying effects of climatic and environmental pollution factors on the NDVI based on their spatially heterogeneous relationships in Bohai Rim, China
Rukeya Sawut, Ying Li, Alimujiang Kasimu, et al.
Journal of Hydrology (2022) Vol. 617, pp. 128815-128815
Closed Access | Times Cited: 22
A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow
Bruno Jardim, Miguel de Castro Neto, André Barriguinha
Computers Environment and Urban Systems (2023) Vol. 104, pp. 101993-101993
Open Access | Times Cited: 14
Electric vehicle adoption and local PM2.5 reduction: Evidence from China
Yingwen Wu, Фу Гу, Yangjian Ji, et al.
Journal of Cleaner Production (2023) Vol. 396, pp. 136508-136508
Closed Access | Times Cited: 13
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