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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:

Explainable long-term building energy consumption prediction using QLattice
Simon Wenninger, Can Kaymakci, Christian Wiethe
Applied Energy (2021) Vol. 308, pp. 118300-118300
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities
Ram Machlev, Leena Heistrene, M. Perl, et al.
Energy and AI (2022) Vol. 9, pp. 100169-100169
Open Access | Times Cited: 206
Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
Dimitrios Angelis, Filippos Sofos, Theodoros E. Karakasidis
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3845-3865
Open Access | Times Cited: 72
Review on Interpretable Machine Learning in Smart Grid
Chongchong Xu, Zhicheng Liao, Chaojie Li, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4427-4427
Open Access | Times Cited: 53
A spatial-temporal layer-wise relevance propagation method for improving interpretability and prediction accuracy of LSTM building energy prediction
Guannan Li, Fan Li, Chengliang Xu, et al.
Energy and Buildings (2022) Vol. 271, pp. 112317-112317
Closed Access | Times Cited: 43
AI explainability and governance in smart energy systems: A review
Roba Alsaigh, Rashid Mehmood, Iyad Katib
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 30
Recent advances in data mining and machine learning for enhanced building energy management
Xinlei Zhou, Han Du, Shan Xue, et al.
Energy (2024) Vol. 307, pp. 132636-132636
Open Access | Times Cited: 8
Exploring Local Explanation of Practical Industrial AI Applications: A Systematic Literature Review
Thi-Thu-Huong Le, Aji Teguh Prihatno, Yustus Eko Oktian, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5809-5809
Open Access | Times Cited: 20
Plasmonic aerogel window with structural coloration for energy-efficient and sustainable building envelopes
Maoquan Huang, G.H. Tang, Qiaoling Si, et al.
Renewable Energy (2023) Vol. 216, pp. 119006-119006
Closed Access | Times Cited: 17
Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy
Tien Han Nguyen, Prabhu Paramasivam, Van Huong Dong, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 55-55
Open Access | Times Cited: 5
Leveraging explainable AI for informed building retrofit decisions: Insights from a survey
Daniel Leuthe, Jonas Mirlach, Simon Wenninger, et al.
Energy and Buildings (2024) Vol. 318, pp. 114426-114426
Open Access | Times Cited: 5
Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes
B S Darshan, Niranjana Sampathila, G. Muralidhar Bairy, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Experimental and numerical study on the performance and thermal storage application of SAT/CPCM
Qiang Yu, Xiaoyu Xu, Gaocheng Zhang, et al.
Journal of Energy Storage (2025) Vol. 118, pp. 116278-116278
Closed Access
Leveraging advanced ensemble models to increase building energy performance prediction accuracy in the residential building sector
Koray Konhäuser, Simon Wenninger, Tim Werner, et al.
Energy and Buildings (2022) Vol. 269, pp. 112242-112242
Closed Access | Times Cited: 25
Short- and long-term forecasting for building energy consumption considering IPMVP recommendations, WEO and COP27 scenarios
Greicili dos Santos Ferreira, Deilson Martins dos Santos, Sérgio Luciano Ávila, et al.
Applied Energy (2023) Vol. 339, pp. 120980-120980
Closed Access | Times Cited: 14
New indicator for a comprehensive evaluation of building energy performance through spatial and temporal dimensions
Donglin Zhang, Yong Ding, Lingxiao Fan, et al.
Energy and Buildings (2023) Vol. 289, pp. 113058-113058
Closed Access | Times Cited: 14
Research on building energy consumption prediction algorithm based on customized deep learning model
Zheng Liang, Junjie Chen
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
Research Progress on the Performance Enhancement Technology of Ice-on-Coil Energy Storage
Xinxin Guo, Xiaoyu Xu, Zhixin Wang, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1734-1734
Open Access
A Systematic Selection Process of Machine Learning Cloud Services for Manufacturing SMEs
Can Kaymakci, Simon Wenninger, Philipp Pelger, et al.
Computers (2022) Vol. 11, Iss. 1, pp. 14-14
Open Access | Times Cited: 20
Evidence for residential building retrofitting practices using explainable AI and socio-demographic data
Simon Wenninger, Philip Karnebogen, Sven Lehmann, et al.
Energy Reports (2022) Vol. 8, pp. 13514-13528
Open Access | Times Cited: 16
Experimental and numerical study of ice storage and melting process of external melting ice coil
Chun Chang, Xiaoyu Xu, Xinxin Guo, et al.
Journal of Energy Storage (2023) Vol. 77, pp. 109961-109961
Closed Access | Times Cited: 10
Transfer learning-based adaptive recursive neural network for short-term non-stationary building heating load prediction
Yong Zhou, Xiang Li, Yanfeng Liu, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107271-107271
Closed Access | Times Cited: 9
An artificial intelligence framework for predicting operational energy consumption in office buildings
Emadaldin Mohammadi Golafshani, Alireza A. Chiniforush, Peyman Zandifaez, et al.
Energy and Buildings (2024) Vol. 317, pp. 114409-114409
Open Access | Times Cited: 3
Towards more accurate and explainable supervised learning-based prediction of deliverability for underground natural gas storage
Aliyuda Ali, Kachalla Aliyuda, Nouh Sabri Elmitwally, et al.
Applied Energy (2022) Vol. 327, pp. 120098-120098
Open Access | Times Cited: 14
Numerical investigation of the performance of a PCM-based renewable and exhaust heat recovery system for building applications
Amin Shahsavar
Energy (2023) Vol. 286, pp. 129659-129659
Closed Access | Times Cited: 8
Measurement of China’s Building Energy Consumption from the Perspective of a Comprehensive Modified Life Cycle Assessment Statistics Method
Qiurui Liu, Jun-Tian Huang, Ting Ni, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4587-4587
Open Access | Times Cited: 12
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