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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:

Data mining with 12 machine learning algorithms for predict costs and carbon dioxide emission in integrated energy-water optimization model in buildings
Majid Emami Javanmard, S.F. Ghaderi, Mohamad Hoseinzadeh
Energy Conversion and Management (2021) Vol. 238, pp. 114153-114153
Closed Access | Times Cited: 65

Showing 26-50 of 65 citing articles:

Deep learning-enhanced remote sensing-integrated crop modeling for rice yield prediction
Seungtaek Jeong, Jonghan Ko, Jong-Oh Ban, et al.
Ecological Informatics (2024) Vol. 84, pp. 102886-102886
Open Access | Times Cited: 5
A big data-handling machine learning model for membrane-based absorber reactors in sorption heat transformers
Mahyar Ashouri, Naghme Kheyrikoochaksarayee, Callum Chhokar, et al.
Energy Conversion and Management (2023) Vol. 292, pp. 117376-117376
Closed Access | Times Cited: 12
A framework of data modeling and artificial intelligence for environmental-friendly energy system: Application of Kalina cycle improved with fuel cell and thermoelectric module
Shoaib Khanmohammadi, Farayi Musharavati, Rasikh Tariq
Process Safety and Environmental Protection (2022) Vol. 164, pp. 499-516
Closed Access | Times Cited: 19
Machine Learning in Creating Energy Consumption Model for UAV
Krystian Góra, Paweł Smyczyński, Mateusz Kujawiński, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6810-6810
Open Access | Times Cited: 19
Stochastic modelling of flexible load characteristics of split-type air conditioners using grey-box modelling and random forest method
Zhihao Jiang, Jinqing Peng, Rongxin Yin, et al.
Energy and Buildings (2022) Vol. 273, pp. 112370-112370
Closed Access | Times Cited: 17
Knowledge-infused deep learning diagnosis model with self-assessment for smart management in HVAC systems
Zhimin Du, Xinbin Liang, Siliang Chen, et al.
Energy (2022) Vol. 263, pp. 125969-125969
Closed Access | Times Cited: 17
Explainable semi-supervised AI for green performance evaluation of airport buildings
Jegan Ramakrishnan, Karthick Seshadri, Tingting Liu, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107788-107788
Open Access | Times Cited: 10
A hybrid forecasting model to improve cost prediction accuracy in green building projects with machine learning
Zhijiang Wu, Mengyao Liu, Guofeng Ma, et al.
Engineering Construction & Architectural Management (2025)
Closed Access
Unveiling the industrial synergy optimization pathways in Beijing-Tianjin-Hebei urban agglomeration based on water-energy-carbon nexus
Shengnan Li, Nan Xiang, Chang Shu, et al.
Journal of Environmental Management (2025) Vol. 376, pp. 124528-124528
Closed Access
Estimation of energetic and exergetic performances of new-generation alternative to the R404A refrigerants in vapor compression refrigeration system
Arzu Şencan Şahin, Ragıp Yıldırım
Journal of Thermal Analysis and Calorimetry (2025)
Open Access
Dynamic prediction and quantitative assessment of carbon emissions from animal husbandry: A case study of inner mongolia autonomous region, China
Jikang Luo, Zhao Zhen, Jing Pang
Journal of Environmental Quality (2025)
Closed Access
Automated prediction of size-independent tensile strength and fracture toughness of concrete using machine learning techniques
Tian Lan, Shutong Yang, Yufeng Jiang, et al.
Journal of Building Engineering (2025), pp. 112431-112431
Closed Access
Forecasting Carbon Prices: What Is the Role of Technology?
Ali Ben Mrad, Amine Lahiani, Salma Mefteh‐Wali, et al.
Journal of Forecasting (2025)
Closed Access
"Predicting Energy Consumption in Mexico: Integrating Environmental, Economic, and Energy Data with Machine Learning Techniques for Sustainable Development"
Heng Li, Altan Kayae
Energy (2025), pp. 135992-135992
Closed Access
Forecasting GHG emissions for environmental protection with energy consumption reduction from renewable sources: A sustainable environmental system
Jiaqing Huang, Linlin Wang, Abu Bakkar Siddik, et al.
Ecological Modelling (2022) Vol. 475, pp. 110181-110181
Closed Access | Times Cited: 14
Carbon Footprint Prediction of Thermal Power Industry under the Dual-Carbon Target: A Case Study of Zhejiang Province, China
Cheng Zhang, Zou Xiong, Chuan Lin
Sustainability (2023) Vol. 15, Iss. 4, pp. 3280-3280
Open Access | Times Cited: 8
A segmented evaluation model for building energy performance considering seasonal dynamic fluctuations
Donglin Zhang, Yong Ding, Xiangting Jiang
Energy Conversion and Management (2023) Vol. 298, pp. 117780-117780
Closed Access | Times Cited: 8
Development and Evaluation of Deep Learning Models for Forecasting Gas Production and Flowback Water in Shale Gas Reservoirs
Francisco Javier López-Flores, Luis Fernando Lira‐Barragán, Eusiel Rubio‐Castro, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 16, pp. 6434-6447
Closed Access | Times Cited: 7
Combining machine learning and remote sensing-integrated crop modeling for rice and soybean crop simulation
Jonghan Ko, Taehwan Shin, Jiwoo Kang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
A Method to Predict CO2 Mass Concentration in Sheep Barns Based on the RF-PSO-LSTM Model
Honglei Cen, Longhui Yu, Yuhai Pu, et al.
Animals (2023) Vol. 13, Iss. 8, pp. 1322-1322
Open Access | Times Cited: 6
Accounting CO2 Emissions of the Cement Industry: Based on an Electricity–Carbon Coupling Analysis
Chunlei Zhou, Donghai Xuan, Yuhan Miao, et al.
Energies (2023) Vol. 16, Iss. 11, pp. 4453-4453
Open Access | Times Cited: 6
Predicting carbon dioxide emissions in the United States of America using machine learning algorithms
Bosah Philip Chukwunonso, AL-Wesabi Ibrahim, Shixiang Li, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 23, pp. 33685-33707
Open Access | Times Cited: 2
Modeling of an artificial intelligence based enterprise callbot with natural language processing and machine learning algorithms
Imad Aattouri, Hicham Mouncif, Mohamed Rida
IAES International Journal of Artificial Intelligence (2022) Vol. 12, Iss. 2, pp. 943-943
Open Access | Times Cited: 8
Gradient Boosting Approach to Predict Energy-Saving Awareness of Households in Kitakyushu
Nitin Kumar Singh, Takuya Fukushima, Masaaki Nagahara
Energies (2023) Vol. 16, Iss. 16, pp. 5998-5998
Open Access | Times Cited: 4
Forecasting Air Transportation Demand and its Impacts on Energy Consumption and Emission
Majid Emami Javanmard, Yili Tang, Arlette Pamela Silva Hernandez
(2023)
Closed Access | Times Cited: 4

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