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:

Nonlinear effects of urban and industrial forms on surface urban heat island: Evidence from 162 Chinese prefecture-level cities
Yujia Ming, Yong Liu, Jianping Gu, et al.
Sustainable Cities and Society (2022) Vol. 89, pp. 104350-104350
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Characteristics of surface urban heat islands in global cities of different scales: Trends and drivers
Xiangyi Deng, Wenping Yu, Jinan Shi, et al.
Sustainable Cities and Society (2024) Vol. 107, pp. 105483-105483
Closed Access | Times Cited: 21

Impacts of Land Use Characteristics on Extreme Heat Events: Insights from Explainable Machine Learning Model
Hangying Su, Zhuoxu Qi, Q. Wang
Sustainable Cities and Society (2025), pp. 106139-106139
Closed Access | Times Cited: 2

Quantifying multiple effects of land finance on urban sprawl: Empirical study on 284 prefectural-level cities in China
Yihao Zhang, Jinzhu Wang, Yong Liu, et al.
Environmental Impact Assessment Review (2023) Vol. 101, pp. 107156-107156
Closed Access | Times Cited: 25

Regulation of urban morphology on thermal environment across global cities
Chunli Wang, Zihan Liu, Huilin Du, et al.
Sustainable Cities and Society (2023) Vol. 97, pp. 104749-104749
Closed Access | Times Cited: 23

Examining temporally varying nonlinear effects of urban form on urban heat island using explainable machine learning: A case of Seoul
Parth Bansal, Steven Jige Quan
Building and Environment (2023) Vol. 247, pp. 110957-110957
Closed Access | Times Cited: 22

Stereoscopic urban morphology metrics enhance the nonlinear scale heterogeneity modeling of UHI with explainable AI
Yanting Shen, Weikang Kong, Fan Fei, et al.
Urban Climate (2024) Vol. 56, pp. 102006-102006
Closed Access | Times Cited: 9

Quantifying surface urban heat island variations and patterns: Comparison of two cities in three-stage dynamic rural–urban transition
Haibo Yang, Zhengrong Wu, Richard Dawson, et al.
Sustainable Cities and Society (2024) Vol. 109, pp. 105538-105538
Closed Access | Times Cited: 7

Unraveling nonlinear and spatial non-stationary effects of urban form on surface urban heat islands using explainable spatial machine learning
Yujia Ming, Yong Liu, Yingpeng Li, et al.
Computers Environment and Urban Systems (2024) Vol. 114, pp. 102200-102200
Closed Access | Times Cited: 6

Core-periphery disparity in community vitality in Chongqing, China: Nonlinear explanation based on mobile phone data and multi-scale factors
Yujia Ming, Yong Liu, Yingpeng Li, et al.
Applied Geography (2024) Vol. 164, pp. 103222-103222
Closed Access | Times Cited: 5

Recovery of economic activities in China uncovered by remotely sensed nighttime light data under the pandemic new normal
Yizhen Wu, Kaifang Shi, Xi Li, et al.
Applied Geography (2025) Vol. 175, pp. 103506-103506
Closed Access

Investigating 2D/3D factors influencing surface urban heat islands in mountainous cities using explainable machine learning
Zihao An, Yujia Ming, Yong Liu, et al.
Urban Climate (2025) Vol. 59, pp. 102325-102325
Closed Access

Predicting Urban Heat Island severity on the census-tract level using Bayesian networks
Ghiwa Assaf, Xi Hu, Rayan H. Assaad
Sustainable Cities and Society (2023) Vol. 97, pp. 104756-104756
Closed Access | Times Cited: 15

An investigation on the impact of blue and green spatial pattern alterations on the urban thermal environment: A case study of Shanghai
Jingjuan He, Yijun Shi, Lihua Xu, et al.
Ecological Indicators (2023) Vol. 158, pp. 111244-111244
Open Access | Times Cited: 14

Impacts of spatial explanatory variables on surface urban heat island intensity between urban and suburban regions in China
Xuecao Li, Shirao Liu, Qiwei Ma, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4

Multi-scale spatiotemporal patterns of urban climate effects and their driving factors across China
Panli Cai, Runkui Li, Jingxian Guo, et al.
Urban Climate (2025) Vol. 60, pp. 102350-102350
Closed Access

Causal effect of PM2.5 on the urban heat island
Yves Rybarczyk, Rasa Žalakevičiūtė, Marija Ereminaite, et al.
Frontiers in Big Data (2025) Vol. 8
Open Access

China’s public health initiatives for climate change adaptation
John S. Ji, Yanjie Xia, Linxin Liu, et al.
The Lancet Regional Health - Western Pacific (2023) Vol. 40, pp. 100965-100965
Open Access | Times Cited: 12

Nonlinear causal relationships between urbanization and extreme climate events in China
Qikang Zhao, Liang Gao, Qingyan Meng, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 139889-139889
Closed Access | Times Cited: 9

Urban Morphology Influencing the Urban Heat Island in the High-Density City of Xi’an Based on the Local Climate Zone
Chongqing Wang, He Zhang, Zhongxu Ma, et al.
Sustainability (2024) Vol. 16, Iss. 10, pp. 3946-3946
Open Access | Times Cited: 2

Investigating the influence of morphologic and functional polycentric structures on urban heat island: A case of Chongqing, China
Heng Wu, Yujia Ming, Yong Liu
Sustainable Cities and Society (2024) Vol. 114, pp. 105790-105790
Closed Access | Times Cited: 2

Revealing the impact of Urban spatial morphology on land surface temperature in plain and plateau cities using explainable machine learning
Zi Wang, Rui Zhou, Jin Rui, et al.
Sustainable Cities and Society (2024), pp. 106046-106046
Closed Access | Times Cited: 2

Association of neighborhood-level socioeconomic status and urban heat in China: Evidence from Hangzhou
J. Li, Guie Li, Yangyang Jiao, et al.
Environmental Research (2023) Vol. 246, pp. 118058-118058
Closed Access | Times Cited: 3

Deep Learning Analysis of Urban Growth Boundaries: An Evaluation of Effectiveness in Mitigating Urban Sprawl in China
Yong Liu, Lulu He, Jinzhu Wang, et al.
Journal of Urban Planning and Development (2023) Vol. 150, Iss. 1
Closed Access | Times Cited: 2

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