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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:

Comprehensive study on sensitive parameters for chiller fault diagnosis
Yu Gao, Hua Han, Zhengxiong Ren, et al.
Energy and Buildings (2021) Vol. 251, pp. 111318-111318
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A review of data-driven fault detection and diagnostics for building HVAC systems
Zhelun Chen, Zheng O’Neill, Jin Wen, et al.
Applied Energy (2023) Vol. 339, pp. 121030-121030
Open Access | Times Cited: 115
AI in HVAC fault detection and diagnosis: A systematic review
Jian Bi, Hua Wang, Enbo Yan, et al.
Energy Reviews (2024) Vol. 3, Iss. 2, pp. 100071-100071
Open Access | Times Cited: 24
An interpretable feature selection method integrating ensemble models for chiller fault diagnosis
Jian Bi, Hua Wang, Hua Mei, et al.
Journal of Building Engineering (2024) Vol. 87, pp. 109029-109029
Closed Access | Times Cited: 16
End-to-end chiller fault diagnosis using fused attention mechanism and dynamic cross-entropy under imbalanced datasets
Song-Yu Han, Haidong Shao, Zhiqiang Huo, et al.
Building and Environment (2022) Vol. 212, pp. 108821-108821
Closed Access | Times Cited: 41
Novel transformer-based self-supervised learning methods for improved HVAC fault diagnosis performance with limited labeled data
Cheng Fan, Yutian Lei, Yongjun Sun, et al.
Energy (2023) Vol. 278, pp. 127972-127972
Closed Access | Times Cited: 22
Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts
Cheng Fan, Yiwen Lin, Marco Savino Piscitelli, et al.
Building Simulation (2023) Vol. 16, Iss. 8, pp. 1499-1517
Closed Access | Times Cited: 20
Feature selection for chillers fault diagnosis from the perspectives of machine learning and field application
Zhanwei Wang, Jingjing Guo, Penghua Xia, et al.
Energy and Buildings (2024) Vol. 307, pp. 113937-113937
Closed Access | Times Cited: 6
Interpretable chiller fault diagnosis based on physics-guided neural networks
Pan Xiaogang, Ketian Liang, Yuanyuan Jiao, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108991-108991
Closed Access | Times Cited: 6
Digital twin model for chiller fault diagnosis based on SSAE and transfer learning
Xin Ma, Fan Chen, Zhihan Wang, et al.
Building and Environment (2023) Vol. 243, pp. 110718-110718
Closed Access | Times Cited: 14
Sensor Fault Detection, Diagnosis, and Data Reconstruction Strategy for Chiller Based on an Improved Tree-Based Pipeline Optimization Tool Framework
Pinguo Wu, Hu Yunpeng, Guannan Li, et al.
International Journal of Refrigeration (2025)
Closed Access
IoT ‐Powered Robust Anomaly Detection and CNN ‐Enabled Predictive Maintenance to Enhance Solar PV System Performance
K. Punitha
(2025), pp. 243-255
Closed Access
Quantitative fault detection and diagnosis methods for vapour compression chillers: Exploring the potential for field-implementation
Martin Ssembatya, D. E. Claridge
Renewable and Sustainable Energy Reviews (2024) Vol. 197, pp. 114418-114418
Closed Access | Times Cited: 4
Transformer encoder based self-supervised learning for HVAC fault detection with unlabeled data
Mohammad Abdollah Fadel Abdollah, Rossano Scoccia, Marcello Aprile
Building and Environment (2024) Vol. 258, pp. 111568-111568
Open Access | Times Cited: 4
A machine learning framework for detection and severity estimation of faults for chillers and air handling units in HVAC systems
Ramnath V. Prabhu Bam, Rajesh S. Prabhu Gaonkar, Clint P. George
Energy and Buildings (2024) Vol. 313, pp. 114235-114235
Closed Access | Times Cited: 4
A fault diagnosis framework based on heterogeneous ensemble learning for air conditioning chiller with unbalanced samples
Zhen Jia, Guoyu Yao, Ke Zhao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086123-086123
Open Access | Times Cited: 3
Advance and prospect of machine learning based fault detection and diagnosis in air conditioning systems
Yabin Guo, Yaxin Liu, Yuhua Wang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 205, pp. 114853-114853
Closed Access | Times Cited: 3
An efficient sensor and thermal coupling fault diagnosis methodology for building energy systems
Jiangyan Liu, Xin Li, Qing Zhang, et al.
Energy and Buildings (2023) Vol. 296, pp. 113367-113367
Closed Access | Times Cited: 8
Research on Fault Diagnosis of HVAC Systems Based on the ReliefF-RFECV-SVM Combined Model
Lei Nie, Rouhui Wu, Yizhu Ren, et al.
Actuators (2023) Vol. 12, Iss. 6, pp. 242-242
Open Access | Times Cited: 7
Novel data-pulling-based strategy for chiller fault diagnosis in data-scarce scenarios
Zhengxiong Ren, Hua Han, Xiaoyu Cui, et al.
Energy (2023) Vol. 279, pp. 128019-128019
Closed Access | Times Cited: 6
Examining the impact of common faults on chiller performance through experimental investigation and parameter sensitivity analysis
Zhanwei Wang, Penghua Xia, Sai Zhou, et al.
Energy and Buildings (2024) Vol. 317, pp. 114389-114389
Closed Access | Times Cited: 1
Study on fault identification rules for real refrigerant leakage in R290 room air conditioner based random forest algorithm
Jie Yang, Jianghong Wu, Xinyu Yu, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122126-122126
Closed Access | Times Cited: 3
Experimental research on the performance and parameters sensitivity analysis of variable refrigerant flow system with common faults imposed in heating mode
Wei Gou, Zhaoting Ren, Huanxin Chen, et al.
Energy and Buildings (2022) Vol. 278, pp. 112624-112624
Closed Access | Times Cited: 5
Performance Evaluation of Chiller Fault Detection and Diagnosis Using Only Field-Installed Sensors
Zhanwei Wang, Jingjing Guo, Sai Zhou, et al.
Processes (2023) Vol. 11, Iss. 12, pp. 3299-3299
Open Access | Times Cited: 2
Enhancing Efficiency of Large Cold Store Refrigeration Systems through Automated Fault Identification and Intelligent Energy Optimization
Zongsheng Zhu, Can Liu, Xiaoming Wang, et al.
International Journal of Refrigeration (2024)
Closed Access
A Feature Selection Approach for Unsupervised Steady-State Chiller Fault Detection
Yashar Bezyan, Fuzhan Nasiri, Mazdak Nik‐Bakht
Lecture notes in civil engineering (2024), pp. 148-153
Closed Access
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