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:

Urban micro-climate prediction through long short-term memory network with long-term monitoring for on-site building energy estimation
Muxing Zhang, Xiaosong Zhang, Siyi Guo, et al.
Sustainable Cities and Society (2021) Vol. 74, pp. 103227-103227
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Urban microclimate and its impact on built environment – A review
Senwen Yang, Liangzhu Wang, Ted Stathopoulos, et al.
Building and Environment (2023) Vol. 238, pp. 110334-110334
Closed Access | Times Cited: 101

Impact of urban form on building energy consumption and solar energy potential: A case study of residential blocks in Jianhu, China
Ke Liu, Xiaodong Xu, Ran Zhang, et al.
Energy and Buildings (2022) Vol. 280, pp. 112727-112727
Closed Access | Times Cited: 80

Accuracy of CFD simulations in urban aerodynamics and microclimate: Progress and challenges
Yoshihide Tominaga, Liangzhu Wang, Zhiqiang Zhai, et al.
Building and Environment (2023) Vol. 243, pp. 110723-110723
Open Access | Times Cited: 34

Towards smart energy management for community microgrids: Leveraging deep learning in probabilistic forecasting of renewable energy sources
Jhon J. Quiñones, Luis R. Pineda, Jason K. Ostanek, et al.
Energy Conversion and Management (2023) Vol. 293, pp. 117440-117440
Open Access | Times Cited: 26

Microclimate spatio-temporal prediction using deep learning and land use data
Jintong Han, Adrian Chong, Joie Lim, et al.
Building and Environment (2024) Vol. 253, pp. 111358-111358
Closed Access | Times Cited: 12

Urban microclimate prediction based on weather station data and artificial neural network
Senwen Yang, Dongxue Zhan, T. Stathopoulos, et al.
Energy and Buildings (2024) Vol. 314, pp. 114283-114283
Open Access | Times Cited: 11

Fourier neural operator for real-time simulation of 3D dynamic urban microclimate
Wenhui Peng, Shaoxiang Qin, Senwen Yang, et al.
Building and Environment (2023) Vol. 248, pp. 111063-111063
Open Access | Times Cited: 19

Transforming and validating urban microclimate data with multi-sourced microclimate datasets for building energy modelling at urban scale
Yi Yang, Qili Gu, Hailu Wei, et al.
Energy and Buildings (2023) Vol. 295, pp. 113318-113318
Open Access | Times Cited: 16

Microclimate vision: Multimodal prediction of climatic parameters using street-level and satellite imagery
Kunihiko Fujiwara, Maxim Khomiakov, Winston Yap, et al.
Sustainable Cities and Society (2024) Vol. 114, pp. 105733-105733
Open Access | Times Cited: 6

Dynamically assessing life cycle energy consumption of buildings at a national scale by 2020: An empirical study in China
Lei Liu, Vivian W.Y. Tam, Laura Almeida, et al.
Energy and Buildings (2023) Vol. 296, pp. 113354-113354
Open Access | Times Cited: 14

Occupant-centric dynamic heating and cooling loads simplified prediction model for urban community at energy planning stage
Shuqin Chen, Yurui Huang, Xiyong Zhang, et al.
Sustainable Cities and Society (2023) Vol. 90, pp. 104406-104406
Closed Access | Times Cited: 13

Machine learning-based surrogate models for fast impact assessment of a new building on urban local microclimate at design stage
Zeming Zhao, Hangxin Li, Shengwei Wang
Building and Environment (2024), pp. 112142-112142
Closed Access | Times Cited: 5

Street Microclimate Prediction Based on Transformer Model and Street View Image in High-Density Urban Areas
Xintong Ma, Tiancheng Zeng, Miao Zhang, et al.
Building and Environment (2024), pp. 112490-112490
Closed Access | Times Cited: 4

Unveiling the Microclimate: A Comprehensive Review of Tools, Techniques, and Future Directions for Sustainable Cities
Trisha Roy, Anirban Middey, Reddithota J. Krupadam
Building and Environment (2025), pp. 112726-112726
Closed Access

Machine learning-driven analysis of agro-climatic data for temperature modeling and forecasting in Philippine urban areas
Jamlech Iram Gojo Cruz, Jessica Mercedes Villón Vera, Karl Ezra Pilario
Urban Climate (2025) Vol. 60, pp. 102339-102339
Closed Access

Improving the accuracy of microclimate coupled urban building energy modeling using convolutional neural networks
J. Ye, Chenyu Huang, Zhaoyang Zhong, et al.
Building and Environment (2025), pp. 112923-112923
Closed Access

Assessing urban micro-climates with vertical and horizontal building morphological cutting deep transfer learning neural networks
Qi Li, Wei Wang, Zhun Yu, et al.
Building and Environment (2023) Vol. 234, pp. 110186-110186
Closed Access | Times Cited: 11

Impacts of nested forward validation techniques on machine learning and regression waste disposal time series models
Lan Vu, Kelvin Tsun Wai Ng, Amy Richter, et al.
Ecological Informatics (2022) Vol. 72, pp. 101897-101897
Closed Access | Times Cited: 18

An integrated framework utilizing machine learning to accelerate the optimization of energy-efficient urban block forms
Ke Liu, Xiaodong Xu, Ran Zhang, et al.
Building Simulation (2024)
Closed Access | Times Cited: 3

Artificial neural networks
Mohammad Ali Ahmadi
Elsevier eBooks (2024), pp. 281-342
Closed Access | Times Cited: 2

Integrating Urban Heat Island Impact into Building Energy Assessment in a Hot-Arid City
Dongxue Zhan, Nurettin Sezer, Danlin Hou, et al.
Buildings (2023) Vol. 13, Iss. 7, pp. 1818-1818
Open Access | Times Cited: 5

An integrated data mining-based approach to identify key building and urban features of different energy usage levels
Xiaofang Shan, Qinli Deng, Zheng Tang, et al.
Sustainable Cities and Society (2021) Vol. 77, pp. 103576-103576
Closed Access | Times Cited: 12

A Deep Learning Based Data Recovery Approach for Missing and Erroneous Data of IoT Nodes
Perigisetty Vedavalli, Deepak Ch
Sensors (2022) Vol. 23, Iss. 1, pp. 170-170
Open Access | Times Cited: 8

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