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:

Catalyzing net-zero carbon strategies: Enhancing CO2 flux Prediction from underground coal fires using optimized machine learning models
Hemeng Zhang, Pengcheng Wang, Mohammad Rahimi, et al.
Journal of Cleaner Production (2024) Vol. 441, pp. 141043-141043
Closed Access | Times Cited: 21

Showing 21 citing articles:

Smart predictive viscosity mixing of CO2–N2 using optimized dendritic neural networks to implicate for carbon capture utilization and storage
Ahmed A. Ewees, Hung Vo Thanh, Mohammed A. A. Al‐qaness, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 112210-112210
Closed Access | Times Cited: 12

Modeling the thermal transport properties of hydrogen and its mixtures with greenhouse gas impurities: A data-driven machine learning approach
Hung Vo Thanh, Mohammad Rahimi, Suparit Tangparitkul, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1-12
Closed Access | Times Cited: 8

Identification of Stable Intermetallic Compounds for Hydrogen Storage via Machine Learning
A. S. Athul, Aswin V. Muthachikavil, Venkata Sudheendra Buddhiraju, et al.
Energy Storage (2025) Vol. 7, Iss. 1
Closed Access

Forecasting geothermal temperature in western Yemen with Bayesian-optimized machine learning regression models
Abdulrahman Al‐Fakih, Abbas Mohamed Al-Khudafi, Ardiansyah Koeshidayatullah, et al.
Geothermal Energy (2025) Vol. 13, Iss. 1
Open Access

Analysis and prediction of combustion characteristics of co-combustion of coal and biomass (straw, sludge and herb residue)
Ming Lei, Hui Han, Xi Tian, et al.
Journal of Thermal Analysis and Calorimetry (2025)
Closed Access

Improving carbon dioxide emission predictions through a hybrid model utilising an advanced sparrow search algorithm
Siyuan Ma, Xiaokang Wang, Sijia Cheng, et al.
Environmental Technology (2025), pp. 1-16
Closed Access

Environmental Effects on NDIR-Based CH4 Monitoring: Characterization and Correction
Wei Dong, Kyuro Sasaki, Hemeng Zhang, et al.
Environmental Science & Technology (2025)
Closed Access

Investigate on spontaneous combustion characteristics of lignite stockpiles considering moisture and particle size effects
Hemeng Zhang, Pengcheng Wang, Yongjun Wang, et al.
Energy (2024) Vol. 309, pp. 133193-133193
Closed Access | Times Cited: 3

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

Machine learning and LSSVR model optimization for gasification process prediction
Wei Cong
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5991-6018
Closed Access | Times Cited: 2

Shear wave velocity prediction based on 1DCNN-BiLSTM network with attention mechanism
Gang Feng, Wenqing Liu, Zhe Yang, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 1

Study on Spontaneous Combustion Risk Areas in Narrow Coal Pillar-Utilized Deep Mining and Double-Pipe Liquid CO 2 Injection Technology
Yang Liu, Xuyao Qi, Luo Da-yong, et al.
Combustion Science and Technology (2024), pp. 1-21
Closed Access | Times Cited: 1

Optimizing Methane Uptake on N/O Functionalized Graphene via DFT, Machine Learning, and Uniform Manifold Approximation and Projection (UMAP) Techniques
Mohammad Rahimi, Amir Mehrpanah, Parastoo Mouchani, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 44, pp. 18940-18956
Closed Access | Times Cited: 1

Advanced machine learning schemes for prediction CO2 flux based experimental approach in underground coal fire areas
Yongjun Wang, Mengxiong Guo, Hung Vo Thanh, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 1

Machine-learning based prediction of hydrogen/methane mixture solubility in brine
Farag M. A. Altalbawy, Mustafa Jassim Al-saray, Krunal Vaghela, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Dynamic optimization can effectively improve the accuracy of reference evapotranspiration in southern China
Xiang Xiao, Ziniu Xiao, Xiaogang Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109881-109881
Closed Access | Times Cited: 1

Estimation and Prediction of Carbon Emission from Typical Coalfield Fire in Xinjiang, China: Based on Field Detection and Historical Data
Y. T. Gu, Haidong Li, Binhao Wang, et al.
Combustion Science and Technology (2024), pp. 1-19
Closed Access

Carbon Capture and Storage Optimization with Machine Learning using an ANN model
Evgeny Vladimirovich Kotov, Jajimoggala Sravanthi, Govardhan Logabiraman, et al.
E3S Web of Conferences (2024) Vol. 588, pp. 01003-01003
Open Access

Kinetic characterization investigation of elemental migration and oxidation in coal spontaneous combustion
Yunchao Hou, Yanni Zhang, Dan Yang, et al.
Journal of Thermal Analysis and Calorimetry (2024)
Closed Access

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