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:

Interpretation and explanation of convolutional neural network-based fault diagnosis model at the feature-level for building energy systems
Guannan Li, Liang Chen, Cheng Fan, et al.
Energy and Buildings (2023) Vol. 295, pp. 113326-113326
Closed Access | Times Cited: 12

Showing 12 citing articles:

A review on convolutional neural network in rolling bearing fault diagnosis
Xin Li, Zengqiang Ma, Zonghao Yuan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 072002-072002
Closed Access | Times Cited: 9

Improved convolutional neural network chiller early fault diagnosis by gradient-based feature-level model interpretation and feature learning
Guannan Li, Liang Chen, Cheng Fan, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121549-121549
Closed Access | Times Cited: 16

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: 5

Model Interpretation and Interpretability Performance Evaluation of Graph Convolutional Network Fault Diagnosis for Air Handling Units
Guannan Li, Zhang Le, Lingzhi Yang, et al.
Journal of Building Engineering (2025), pp. 112048-112048
Closed Access

An interpretable graph convolutional neural network based fault diagnosis method for building energy systems
Guannan Li, Zhanpeng Yao, Liang Chen, et al.
Building Simulation (2024) Vol. 17, Iss. 7, pp. 1113-1136
Closed Access | Times Cited: 4

A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement
Yanhua Guo, Ningbo Wang, Shuangquan Shao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 204, pp. 114804-114804
Closed Access | Times Cited: 4

A Hybrid Transfer Learning to Continual Learning Strategy for Improving Cross-building Energy Prediction in Data Increment Scenario
Jiahui Deng, Guannan Li, Yubei Wu, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110093-110093
Closed Access | Times Cited: 3

A hybrid artificial intelligence algorithm for fault diagnosis of hot rolled strip crown imbalance
Ruixiao Zhang, Yushuo Qi, Shanshan Kong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107763-107763
Closed Access | Times Cited: 8

Interpretability assessment of convolutional neural network-based fault diagnosis for air handling units working in three seasons
Chenglong Xiong, Hu Yunpeng, Guannan Li, et al.
Energy and Buildings (2024), pp. 114876-114876
Closed Access | Times Cited: 2

Novel Machine Learning Paradigms-Enabled Methods for Smart Building Operations in Data-Challenging Contexts: Progress and Perspectives
Fan Cheng, Yutian Lei, Jinhan Mo, et al.
National Science Open (2024) Vol. 3, Iss. 3, pp. 20230068-20230068
Open Access | Times Cited: 1

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

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