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:

Machine learning for energy performance prediction at the design stage of buildings
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Energy Sustainable Development/Energy for sustainable development (2021) Vol. 66, pp. 12-25
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization
Yuxuan Shen, Yue Pan
Applied Energy (2023) Vol. 333, pp. 120575-120575
Closed Access | Times Cited: 75
Incentive initiatives on energy-efficient renovation of existing buildings towards carbon–neutral blueprints in China: Advancements, challenges and prospects
Zhengxuan Liu, Chenxi Yu, Queena K. Qian, et al.
Energy and Buildings (2023) Vol. 296, pp. 113343-113343
Open Access | Times Cited: 62
Deep reinforcement learning for multi-objective optimization in BIM-based green building design
Yue Pan, Yuxuan Shen, Jianjun Qin, et al.
Automation in Construction (2024) Vol. 166, pp. 105598-105598
Closed Access | Times Cited: 14
Data-Driven Tools for Building Energy Consumption Prediction: A Review
Razak Olu-Ajayi, Hafiz Alaka, Hakeem A. Owolabi, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2574-2574
Open Access | Times Cited: 31
Novel Neural Network Optimized by Electrostatic Discharge Algorithm for Modification of Buildings Energy Performance
Arash Mohammadi Fallah, Ehsan Ghafourian, Ladan Shahzamani Sichani, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 2884-2884
Open Access | Times Cited: 26
Building energy performance prediction: A reliability analysis and evaluation of feature selection methods
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120109-120109
Open Access | Times Cited: 21
A systematic review on artificial intelligence applications in architecture
Buse Bölek, Osman Tutal, Hakan Özbaşaran
Journal of Design for Resilience in Architecture and Planning (2023) Vol. 4, Iss. 1, pp. 91-104
Open Access | Times Cited: 21
Data Science Applications in Circular Economy: Trends, Status, and Future
Bu Zhao, Zongqi Yu, Hongze Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 15, pp. 6457-6474
Closed Access | Times Cited: 11
Enhancing interpretability in power management: A time-encoded household energy forecasting using hybrid deep learning model
Hamza Mubarak, Sascha Stegen, Feifei Bai, et al.
Energy Conversion and Management (2024) Vol. 315, pp. 118795-118795
Open Access | Times Cited: 9
District heating planning with focus on solar energy and heat pump using GIS and the supervised learning method: Case study of Gaziantep, Turkey
Shahab Eslami, Younes Noorollahi, Mousa Marzband, et al.
Energy Conversion and Management (2022) Vol. 269, pp. 116131-116131
Open Access | Times Cited: 34
Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model
Rajasekhar Chaganti, Furqan Rustam, Talal Daghriri, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7692-7692
Open Access | Times Cited: 32
Electric energy consumption predictions for residential buildings: Impact of data-driven model and temporal resolution on prediction accuracy
Ji‐Won Kim, Young Hoon Kwak, Sun-Hye Mun, et al.
Journal of Building Engineering (2022) Vol. 62, pp. 105361-105361
Closed Access | Times Cited: 27
Do all roads lead to Rome? A comparison of knowledge-based, data-driven, and physics-based surrogate models for performance-based early design
Mohsen Zaker Esteghamati, Madeleine M. Flint
Engineering Structures (2023) Vol. 286, pp. 116098-116098
Open Access | Times Cited: 18
Energy Management in Modern Buildings Based on Demand Prediction and Machine Learning—A Review
Seyed Morteza Moghimi, T. Aaron Gulliver, Ilamparithi Thirumai Chelvan
Energies (2024) Vol. 17, Iss. 3, pp. 555-555
Open Access | Times Cited: 6
A Machine Learning-Based Electricity Consumption Forecast and Management System for Renewable Energy Communities
Miguel Matos, João Almeida, Pedro Gonçalves, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 630-630
Open Access | Times Cited: 5
Advancing building energy efficiency: A deep learning approach to early-stage prediction of residential electric consumption
Karthic Sundaram, K. R. Sri Preethaa, Yuvaraj Natarajan, et al.
Energy Reports (2024) Vol. 12, pp. 1281-1292
Closed Access | Times Cited: 5
New Building Management Systems for Smart Cities: A Brief Analysis of Their Potential
Andy Garcia, M. C. Rodriguez‐Sanchez, Ma del Prado Díaz de Mera, et al.
IntechOpen eBooks (2025)
Closed Access
Enhancing Building Energy Consumption Prediction Using LSTM, Kalman Filter, and Continuous Wavelet Transform
Nasima El Assri, Mohammed Ali Jallal, Samira Chabaa, et al.
Scientific African (2025), pp. e02560-e02560
Open Access
Smart integrated aquaponics system: Hybrid solar-hydro energy with deep learning forecasting for optimized energy management in aquaculture and hydroponics
Tresna Dewi, Pola Risma, Yurni Oktarina, et al.
Energy Sustainable Development/Energy for sustainable development (2025) Vol. 85, pp. 101683-101683
Closed Access
Machine learning application in building energy consumption prediction: A comprehensive review
Jingsong Ji, Hao Yu, Xudong Wang, et al.
Journal of Building Engineering (2025), pp. 112295-112295
Closed Access
Türkiye’s energy projection for 2050
Selen Cekinir, Önder Özgener, Leyla Özgener
Renewable energy focus (2022) Vol. 43, pp. 93-116
Closed Access | Times Cited: 21
Improving building resilience in the face of future climate uncertainty: A comprehensive framework for enhancing building life cycle performance
Ruijun Chen, Holly Samuelson, Yukai Zou, et al.
Energy and Buildings (2023) Vol. 302, pp. 113761-113761
Closed Access | Times Cited: 11
Perspectives of Machine Learning and Natural Language Processing on Characterizing Positive Energy Districts
Mengjie Han, İlkim Canlı, Juveria Shah, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 371-371
Open Access | Times Cited: 3
Advancing Sustainable Energy Management: A Comprehensive Review of Artificial Intelligence Techniques in Building
Ahmed Hanafi, M. Moawed, Osama Abdellatif
Deleted Journal (2024) Vol. 53, Iss. 2, pp. 26-46
Open Access | Times Cited: 3
Artificial intelligence for deconstruction: Current state, challenges, and opportunities
Habeeb Balogun, Hafiz Alaka, Eren Demir, et al.
Automation in Construction (2024) Vol. 166, pp. 105641-105641
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top