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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:

A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data
Jun Ma, Jack C.P. Cheng, Feifeng Jiang, et al.
Energy and Buildings (2020) Vol. 216, pp. 109941-109941
Closed Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
Giuseppe Pinto, Zhe Wang, Abhishek Roy, et al.
Advances in Applied Energy (2022) Vol. 5, pp. 100084-100084
Open Access | Times Cited: 185
Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Sara Barja-Martinez, Mònica Aragüés‐Peñalba, Íngrid Munné‐Collado, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111459-111459
Open Access | Times Cited: 114
Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104059-104059
Open Access | Times Cited: 87
A multi-source transfer learning model based on LSTM and domain adaptation for building energy prediction
Huiming Lu, Jiazheng Wu, Yingjun Ruan, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 149, pp. 109024-109024
Closed Access | Times Cited: 45
Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings
Xuerong Cui, Minhyun Lee, Choongwan Koo, et al.
Energy and Buildings (2024) Vol. 309, pp. 113997-113997
Closed Access | Times Cited: 40
Survey:Time-series data preprocessing: A survey and an empirical analysis
Amal Tawakuli, Bastian Havers, Vincenzo Gulisano, et al.
Journal of Engineering Research (2024)
Open Access | Times Cited: 25
Automated site planning using CAIN-GAN model
Feifeng Jiang, Jun Ma, Chris Webster, et al.
Automation in Construction (2024) Vol. 159, pp. 105286-105286
Closed Access | Times Cited: 15
A transfer Learning-Based LSTM strategy for imputing Large-Scale consecutive missing data and its application in a water quality prediction system
Chen Zeng, Huan Xu, Peng Jiang, et al.
Journal of Hydrology (2021) Vol. 602, pp. 126573-126573
Closed Access | Times Cited: 102
Identification of the most influential areas for air pollution control using XGBoost and Grid Importance Rank
Jun Ma, Jack C.P. Cheng, Zherui Xu, et al.
Journal of Cleaner Production (2020) Vol. 274, pp. 122835-122835
Closed Access | Times Cited: 73
A large-scale sensor missing data imputation framework for dams using deep learning and transfer learning strategy
Yangtao Li, Tengfei Bao, Hao Chen, et al.
Measurement (2021) Vol. 178, pp. 109377-109377
Closed Access | Times Cited: 68
A combined deep learning application for short term load forecasting
İlyas Özer, Serhat Berat Efe, Harun ÖZBAY
Alexandria Engineering Journal (2021) Vol. 60, Iss. 4, pp. 3807-3818
Open Access | Times Cited: 60
A Comprehensive Survey on Imputation of Missing Data in Internet of Things
Deepak Adhikari, Wei Jiang, Jinyu Zhan, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-38
Closed Access | Times Cited: 55
An Integrated Missing-Data Tolerant Model for Probabilistic PV Power Generation Forecasting
Qiaoqiao Li, Yan Xu, Benjamin Si Hao Chew, et al.
IEEE Transactions on Power Systems (2022) Vol. 37, Iss. 6, pp. 4447-4459
Closed Access | Times Cited: 50
A taxonomy of machine learning applications for virtual power plants and home/building energy management systems
Seppo Sierla, Mahdi Pourakbari‐Kasmaei, Valeriy Vyatkin
Automation in Construction (2022) Vol. 136, pp. 104174-104174
Open Access | Times Cited: 46
Long short-term memory models of water quality in inland water environments
JongCheol Pyo, Yakov Pachepsky, Soobin Kim, et al.
Water Research X (2023) Vol. 21, pp. 100207-100207
Open Access | Times Cited: 26
Augmenting energy time-series for data-efficient imputation of missing values
Antonio Liguori, Romana Markovic, Martina Ferrando, et al.
Applied Energy (2023) Vol. 334, pp. 120701-120701
Closed Access | Times Cited: 22
An instance based multi-source transfer learning strategy for building’s short-term electricity loads prediction under sparse data scenarios
Borui Wei, Kangji Li, Shiyi Zhou, et al.
Journal of Building Engineering (2024) Vol. 85, pp. 108713-108713
Closed Access | Times Cited: 11
Application and progress of artificial intelligence technology in the field of distribution network voltage Control：A review
Xiao Zhang, Zhi Wu, Qirun Sun, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 192, pp. 114282-114282
Closed Access | Times Cited: 10
Enhancing source domain availability through data and feature transfer learning for building power load forecasting
Fanyue Qian, Yingjun Ruan, Huiming Lu, et al.
Building Simulation (2024) Vol. 17, Iss. 4, pp. 625-638
Closed Access | Times Cited: 8
Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series
Jun Ma, Jack C.P. Cheng, Yuexiong Ding, et al.
Advanced Engineering Informatics (2020) Vol. 44, pp. 101092-101092
Closed Access | Times Cited: 62
Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology
Feifeng Jiang, Richard K.K. Yuen, Eric Lee
Journal of Safety Research (2020) Vol. 75, pp. 292-309
Closed Access | Times Cited: 52
Prediction of building power consumption using transfer learning-based reference building and simulation dataset
Yusun Ahn, Byungseon Sean Kim
Energy and Buildings (2021) Vol. 258, pp. 111717-111717
Closed Access | Times Cited: 50
Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context
Cheng Fan, Yutian Lei, Yongjun Sun, et al.
Energy (2021) Vol. 240, pp. 122775-122775
Closed Access | Times Cited: 45
A machine-learning-based method for thermal design optimization of residential buildings in highly urbanized areas of Turkey
Sadık Yiğit
Journal of Building Engineering (2021) Vol. 38, pp. 102225-102225
Closed Access | Times Cited: 44
Prediction of energy use intensity of urban buildings using the semi-supervised deep learning model
Feifeng Jiang, Jun Ma, Zheng Li, et al.
Energy (2022) Vol. 249, pp. 123631-123631
Closed Access | Times Cited: 33
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