Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Application of local climate zones combined with machine learning to predict the impact of urban structure patterns on thermal environment
Tsz-Kin Lau, Yu-Cheng Chen, Tzu‐Ping Lin
Urban Climate (2023) Vol. 52, pp. 101731-101731
Closed Access | Times Cited: 10

Showing 10 citing articles:

Exploring the relationship between air temperature and urban morphology factors using machine learning under local climate zones
Chengliang Fan, Binwei Zou, Jianjun Li, et al.
Case Studies in Thermal Engineering (2024) Vol. 55, pp. 104151-104151
Open Access | Times Cited: 12
Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities
Peter C. Ibsen, Ben Crawford, Lucila M. Corro, et al.
Sustainable Cities and Society (2024) Vol. 113, pp. 105677-105677
Open Access | Times Cited: 9
Machine-Learning-Assisted Characterization of Regional Heat Islands with a Spatial Extent Larger than the Urban Size
Yin Du, Zhiqing Xie, Lingling Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 599-599
Open Access | Times Cited: 5
Mining and modeling the direct and indirect causalities among factors affecting the Urban Heat Island severity using structural machine learned Bayesian networks
Ghiwa Assaf, Xi Hu, Rayan H. Assaad
Urban Climate (2023) Vol. 49, pp. 101570-101570
Closed Access | Times Cited: 12
Artificial intelligence for predicting urban heat island effect and optimising land use/land cover for mitigation: Prospects and recent advancements
Omar Y. Mohamed, Izni Zahidi
Urban Climate (2024) Vol. 55, pp. 101976-101976
Open Access | Times Cited: 4
Simulating Land Surface Temperature Impacts of Proposed Land Use and Land Cover Plans Using an Integrated Deep Neural Network Approach
Jiongye Li, Yingwei Yan, Rudi Stouffs
Energy and Buildings (2025), pp. 115437-115437
Closed Access
The application of a high-density street-level air temperature observation network (HiSAN): Spatial and temporal variations of thermal and wind condition in different climatic condition types
Yu-Cheng Chen, Kai-Shan Hou, Yujie Liao, et al.
Sustainable Cities and Society (2024) Vol. 109, pp. 105547-105547
Closed Access | Times Cited: 3
Climate Change and Food Security Management–based Urban Health Care Systems Using Artificial Intelligence Techniques
Vijaya Kumar Koppula, M. Birundadevi, K. Ramprathap, et al.
Remote Sensing in Earth Systems Sciences (2024)
Closed Access | Times Cited: 1
UAV Databased Temperature Patterns Analysis with Carbon Emission Detection Using Deep Neural Network
Sachi Nandan Mohanty, Bibhuti Bhusan Dash, G. Shanmugasundar, et al.
Remote Sensing in Earth Systems Sciences (2024)
Closed Access | Times Cited: 1
Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network
Jiongye Li, Yingwei Yan, Rudi Stouffs
Sustainable Cities and Society (2024), pp. 105922-105922
Closed Access | Times Cited: 1
Page 1

Scroll to top