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:

Advanced Control and Fault Detection Strategies for District Heating and Cooling Systems—A Review
Simone Buffa, Mohammad Hossein Fouladfar, Giuseppe Franchini, et al.
Applied Sciences (2021) Vol. 11, Iss. 1, pp. 455-455
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Fifth-generation district heating and cooling systems: A review of recent advancements and implementation barriers
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Renewable and Sustainable Energy Reviews (2022) Vol. 171, pp. 112997-112997
Closed Access | Times Cited: 74
District heating and cooling networks with decentralised energy substations: Opportunities and barriers for holistic energy system decarbonisation
Orestis Angelidis, Αναστασία Ιωάννου, Daniel Friedrich, et al.
Energy (2023) Vol. 269, pp. 126740-126740
Open Access | Times Cited: 50
Deep learning in fault detection and diagnosis of building HVAC systems: A systematic review with meta analysis
Fan Zhang, Nausheen Saeed, Paria Sadeghian
Energy and AI (2023) Vol. 12, pp. 100235-100235
Open Access | Times Cited: 32
Fault and anomaly detection in district heating substations: A survey on methodology and data sets
Martin Neumayer, Dominik Stecher, Sebastian Grimm, et al.
Energy (2023) Vol. 276, pp. 127569-127569
Open Access | Times Cited: 23
Physics-Informed Neural Network Modeling and Predictive Control of District Heating Systems
Laura Boca de Giuli, Alessio La Bella, Riccardo Scattolini
IEEE Transactions on Control Systems Technology (2024) Vol. 32, Iss. 4, pp. 1182-1195
Open Access | Times Cited: 10
Non-Singleton Type-3 Fuzzy Approach for Flowmeter Fault Detection: Experimental Study in a Gas Industry
Jinghe Wang, Jafar Tavoosi, Ardashir Mohammadzadeh, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7419-7419
Open Access | Times Cited: 52
Automatic fault diagnosis algorithm for hot water pipes based on infrared thermal images
Hang Guan, Tong Xiao, Wei Luo, et al.
Building and Environment (2022) Vol. 218, pp. 109111-109111
Closed Access | Times Cited: 34
Intelligent Approaches to Fault Detection and Diagnosis in District Heating: Current Trends, Challenges, and Opportunities
Jonne van Dreven, Veselka Boeva, Shahrooz Abghari, et al.
Electronics (2023) Vol. 12, Iss. 6, pp. 1448-1448
Open Access | Times Cited: 17
A state-of-the-art analysis and perspectives on the 4th/5th generation district heating and cooling systems
Shuai Yao, Jianzhong Wu, Meysam Qadrdan
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114729-114729
Open Access | Times Cited: 6
Graph-based Data Mining, Pattern Recognition and Anomaly Detection for Intelligent Energy Networks
Francesco Grassi, Giorgio Manganini, Konstantinos Kouramas
Computers & Industrial Engineering (2024) Vol. 193, pp. 110329-110329
Closed Access | Times Cited: 5
Evaluation of optimization methods for the control of generators of a low carbon heat grid
Shixin Ni, Gerrid Brockmann, Amin Darbandi, et al.
Energy Reports (2025) Vol. 13, pp. 1069-1084
Closed Access
Mobile Application Security: Malware Threat and Defenses
Fahad Mira
Lecture notes in electrical engineering (2025), pp. 461-473
Closed Access
Deep Neural Network for Valve Fault Diagnosis Integrating Multivariate Time-Series Sensor Data
Eui-Young Jeong, Jung-Hwan Yang, Soo‐Chul Lim
Actuators (2025) Vol. 14, Iss. 2, pp. 70-70
Open Access
Innovative multi-objective optimization for financially viable and efficient residential μCHP system planning
Weiyan Xu, Jielei Tu, Ning Xu, et al.
International Journal of Hydrogen Energy (2025) Vol. 106, pp. 1184-1197
Closed Access
A review of the current status and development of 5GDHC and characterization of a novel shared energy system
Jonas Lindhe, Saqib Javed, Dennis Johansson, et al.
Science and Technology for the Built Environment (2022) Vol. 28, Iss. 5, pp. 595-609
Open Access | Times Cited: 26
Operation optimization of multi-boiler district heating systems using artificial intelligence-based model predictive control: Field demonstrations
Étienne Saloux, Jason Runge, Kun Zhang
Energy (2023) Vol. 285, pp. 129524-129524
Closed Access | Times Cited: 12
Enhancing operational optimization of district heating substations through refined estimations of network campus buildings heat demands to achieve a low return from the network
Afraz Mehmood Chaudhry, Maxence Delvaux, Péter Zoltán Csurcsia, et al.
Energy and Buildings (2024) Vol. 313, pp. 114241-114241
Closed Access | Times Cited: 4
Predictive maintenance of district heating networks: A comprehensive review of methods and challenges
Amir Rafati, Hamid Reza Shaker
Thermal Science and Engineering Progress (2024) Vol. 53, pp. 102722-102722
Open Access | Times Cited: 4
A diagnostic approach for fault detection and identification in district heating networks
Lucrezia Manservigi, Hilal Bahlawan, Enzo Losi, et al.
Energy (2022) Vol. 251, pp. 123988-123988
Closed Access | Times Cited: 21
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
Peak Shaving of a District Heated Office Building with Short-Term Thermal Energy Storage in Finland
Yuchen Ju, Juha Jokisalo, Risto Kosonen
Buildings (2023) Vol. 13, Iss. 3, pp. 573-573
Open Access | Times Cited: 10
Testing and evaluation of a smart controller for reducing peak loads and return temperatures in district heating networks
Tijs Van Oevelen, Thomas Neven, Aurélien Brès, et al.
Smart Energy (2023) Vol. 10, pp. 100105-100105
Open Access | Times Cited: 10
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
Opportunities for Machine Learning in District Heating
Gideon Mbiydzenyuy, Sławomir Nowaczyk, Håkan Knutsson, et al.
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 6112-6112
Open Access | Times Cited: 26
Optimal management and data-based predictive control of district heating systems: The Novate Milanese experimental case-study
Alessio La Bella, Ada Del Corno
Control Engineering Practice (2023) Vol. 132, pp. 105429-105429
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top