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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:

Machine learning for early stage building energy prediction: Increment and enrichment
Manav Mahan Singh, Sundaravelpandian Singaravel, Philipp Geyer
Applied Energy (2021) Vol. 304, pp. 117787-117787
Open Access | Times Cited: 21

Showing 21 citing articles:

BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization
Yuxuan Shen, Yue Pan
Applied Energy (2023) Vol. 333, pp. 120575-120575
Closed Access | Times Cited: 76
Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy
Faham Tahmasebinia, Lin Lin, Shuo Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8814-8814
Open Access | Times Cited: 40
Machine learning for energy performance prediction at the design stage of buildings
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Energy Sustainable Development/Energy for sustainable development (2021) Vol. 66, pp. 12-25
Open Access | Times Cited: 67
Early-stage design support combining machine learning and building information modelling
Manav Mahan Singh, Chirag Deb, Philipp Geyer
Automation in Construction (2022) Vol. 136, pp. 104147-104147
Open Access | Times Cited: 33
An integrated building energy performance evaluation method: From parametric modeling to GA-NN based energy consumption prediction modeling
Xiang Li, Sha Liu, Lu Zhao, et al.
Journal of Building Engineering (2021) Vol. 45, pp. 103571-103571
Open Access | Times Cited: 37
Performance evaluation of short-term cross-building energy predictions using deep transfer learning strategies
Guannan Li, Yubei Wu, Jiangyan Liu, et al.
Energy and Buildings (2022) Vol. 275, pp. 112461-112461
Closed Access | Times Cited: 25
A real-time operational carbon emission prediction method for the early design stage of residential units based on a convolutional neural network: A case study in Beijing, China
Shurui Yan, Yixin Zhang, Haode Sun, et al.
Journal of Building Engineering (2023) Vol. 75, pp. 106994-106994
Closed Access | Times Cited: 14
An improved transfer learning strategy for short-term cross-building energy prediction using data incremental
Guannan Li, Yubei Wu, Chengchu Yan, et al.
Building Simulation (2023) Vol. 17, Iss. 1, pp. 165-183
Closed Access | Times Cited: 12
Utilizing domain knowledge: Robust machine learning for building energy performance prediction with small, inconsistent datasets
Xia Chen, Manav Mahan Singh, Philipp Geyer
Knowledge-Based Systems (2024) Vol. 294, pp. 111774-111774
Open Access | Times Cited: 4
A Sustainability Evaluation of Buildings: A Review on Sustainability Factors to Move towards a Greener City Environment
Lee Won Park, Keonhee Cho, Myeong-in Choi
Buildings (2024) Vol. 14, Iss. 2, pp. 446-446
Open Access | Times Cited: 3
Enhancing hourly heat demand prediction through artificial neural networks: A national level case study
Meng Zhang, Michael-Allan Millar, Si Chen, et al.
Energy and AI (2023) Vol. 15, pp. 100315-100315
Open Access | Times Cited: 7
Effect of adaptive intelligent sampling and machine-learning emulators in surrogate energy modeling of architectural massing
Abhishek Mehrotra, Hwang Yi
Journal of Building Engineering (2023) Vol. 72, pp. 106614-106614
Closed Access | Times Cited: 6
Convolutional neural network to learn building-shape representations for early-stage energy design
Manav Mahan Singh, Ian F. C. Smith
Energy and AI (2023) Vol. 14, pp. 100293-100293
Open Access | Times Cited: 6
Study on Sensor Fault-Tolerant Control for Central Air-Conditioning Systems Using Bayesian Inference with Data Increments
Guannan Li, Chongchong Wang, Lamei Liu, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1150-1150
Open Access | Times Cited: 1
A rapid approach to urban traffic noise mapping with a generative adversarial network
Xinhao Yang, Zhen Han, Xiaodong Lü, et al.
Applied Acoustics (2024) Vol. 228, pp. 110268-110268
Closed Access | Times Cited: 1
Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: data generation, incremental learning, transfer learning, and physics-informed
Guannan Li, Lei Zhan, Xi Fang, et al.
Energy (2024), pp. 133640-133640
Closed Access | Times Cited: 1
Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm
Hainan Yan, Guohua Ji, Shuqi Cao, et al.
Building Simulation (2024)
Closed Access
A Review of Building Physical Shapes on Heating and Cooling Energy Consumption
Jin Li, Chao Liang, Wenwu Zhou
Energies (2024) Vol. 17, Iss. 22, pp. 5766-5766
Open Access
Micro-Climate Building Context Visualization
Firoozeh Mostafavi, Seyran Khademi
eCAADe proceedings (2023) Vol. 2, pp. 9-18
Open Access | Times Cited: 1
A Convolutional Neural Network for Steady-State Flow Approximation Trained on a Small Sample Size
Guodong Zhong, Xuesong Xu, Jintao Feng, et al.
Atmosphere (2023) Vol. 14, Iss. 9, pp. 1462-1462
Open Access | Times Cited: 1
Clusterização do desempenho de iluminância de uma sala influenciado por aletas dinâmicas de sombreamento
Cassio Houang Daher
(2023)
Open Access
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