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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:

Generation and evaluation of a synthetic dataset to improve fault detection in district heating and cooling systems
Mathieu Vallée, Thibaut Wissocq, Yacine Gaoua, et al.
Energy (2023) Vol. 283, pp. 128387-128387
Open Access | Times Cited: 11

Showing 11 citing articles:

Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings
He Dasi, Ying Zhang, MD Faisal Bin Ashab
Energy (2024) Vol. 291, pp. 130297-130297
Closed Access | Times Cited: 19
Experimental and numerical studies on hydrogen leakage and dispersion evolution characteristics in space with large aspect ratios
Qiming Xu, Guohua Chen, Mulin Xie, et al.
Journal of Cleaner Production (2024) Vol. 438, pp. 140467-140467
Closed Access | Times Cited: 14
Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning
Yubo Bi, Qiulan Wu, Shilu Wang, et al.
Energy (2023) Vol. 284, pp. 129361-129361
Closed Access | Times Cited: 27
Review of machine learning techniques for energy sharing and biomass waste gasification pathways in integrating solar greenhouses into smart energy systems
Navid Mahdavi, Animesh Dutta, Syeda Humaira Tasnim, et al.
Energy and AI (2025), pp. 100498-100498
Open Access
Data-driven approach for the detection of faults in district heating networks
Enzo Losi, Lucrezia Manservigi, Pier Ruggero Spina, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101355-101355
Closed Access | Times Cited: 3
A systematic approach for data generation for intelligent fault detection and diagnosis in District Heating
Jonne van Dreven, Veselka Boeva, Shahrooz Abghari, et al.
Energy (2024) Vol. 307, pp. 132711-132711
Open Access | Times Cited: 3
Fouling Fault Detection and Diagnosis in District Heating Substations: Validation of a Hybrid CNN-based PCA Model with Uncertainty Quantification on Virtual Replica Synthesis and Real Data
Mohammed Ali Jallal, Mathieu Vallée, Nicolas Lamaison
Energy (2024), pp. 133590-133590
Open Access | Times Cited: 2
Large Language Models for Fault Detection in Buildings’ HVAC Systems
Gerda Langer, Thomas Hirsch, Roman Kern, et al.
Lecture notes in computer science (2024), pp. 49-60
Closed Access
Identifying untraced faults associated with high return temperatures from heating systems in buildings connected to district heating networks
Qinjiang Yang, Robbe Salenbien, Kevin Michael Smith, et al.
Energy (2024) Vol. 309, pp. 133097-133097
Open Access
Is it returning too hot? Time series segmentation and feature clustering of end-user substation faults in district heating systems
Daniel Leiria, Hicham Johra, Justus Anoruo, et al.
Applied Energy (2024) Vol. 381, pp. 125122-125122
Open Access
Overview of Data-Driven Methods for District Heating Systems Diagnosis
Alexandru Cebotari, Daniela Popescu
Buletinul Institutului Politehnic din Iaşi. Secţia Construcţii de maşini/Buletinul Institutului Politehnic din Iaşi, Secţia Construcţii de maşini (2024) Vol. 70, Iss. 3, pp. 45-55
Closed Access
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