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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:

Decision Tree-Based Ensemble Model for Predicting National Greenhouse Gas Emissions in Saudi Arabia
Muhammad Muhitur Rahman, Md Shafiullah, Md Shafiul Alam, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3832-3832
Open Access | Times Cited: 10

Showing 10 citing articles:

A novel hybrid machine learning model for prediction of CO2 using socio-economic and energy attributes for climate change monitoring and mitigation policies
Sachin Kumar
Ecological Informatics (2023) Vol. 77, pp. 102253-102253
Closed Access | Times Cited: 25
Impacts of electricity price reform on Saudi regional fuel consumption and CO2 emissions
Abdulelah Darandary, Jeyhun I. Mikayilov, Salaheddine Soummane
Energy Economics (2024) Vol. 131, pp. 107400-107400
Open Access | Times Cited: 9
Harnessing neural network model with optimization for enhanced ciprofloxacin antibiotic adsorption from contaminated water: A transparent and objective framework
Yunus Ahmed, Md. Mahfujur Rahman, Md Shafiul Alam, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105724-105724
Closed Access | Times Cited: 6
Removal of N-Nitrosodiphenylamine from contaminated water: A novel modeling framework using metaheuristic-based ensemble models
Md Shafiul Alam, Adeola Akeem Akinpelu, Mazen K. Nazal, et al.
Journal of Environmental Management (2024) Vol. 365, pp. 121503-121503
Closed Access | Times Cited: 4
A Novel Approach for Predicting Anthropogenic CO2 Emissions Using Machine Learning Based on Clustering of the CO2 Concentration
Zhanghui Ji, Hao Song, Liping Lei, et al.
Atmosphere (2024) Vol. 15, Iss. 3, pp. 323-323
Open Access | Times Cited: 3
Optimized Ensemble Machine Learning Models for Predicting Phytoplankton Absorption Coefficients
Md Shafiul Alam, Surya Prakash Tiwari, Syed Masiur Rahman
IEEE Access (2024) Vol. 12, pp. 5760-5769
Open Access | Times Cited: 2
Discovering and Recognizing of Imbalance Human Activity in Healthcare Monitoring using Data Resampling Technique and Decision Tree Model
Raihani Mohamed, Nur Hidayah Azizan, Thinagaran Perumal, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 33, Iss. 2, pp. 340-350
Open Access | Times Cited: 3
Discerning sustainability: Analyzing Asia’s greenhouse gas emissions through AI
Nikita Ramrakhiani, Anup Kukreja, Kunal Mhetre
E-Learning and Digital Media (2024)
Open Access
Intensified greenhouse gas prediction: Configuring Gate with Fine-Tuning Shifts with Bi-LSTM and GRU System
Mohemmed Sha, Solomon Emmanuel, A. Bindhu, et al.
Frontiers in Climate (2024) Vol. 6
Open Access
Vehicle Exhausts Emission Pattern Decisions for Logistic Services and Packing Industries with Orthogonal Array-Based Rough Set Theory
Alexander Iwodi Agada, Sunday Ayoola Oke, A. John Rajan, et al.
International Journal of Industrial Engineering and Engineering Management (2023) Vol. 5, Iss. 2, pp. 97-106
Open Access
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