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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:

Rapid Determination of Gross Calorific Value of Coal Using Artificial Neural Network and Particle Swarm Optimization
Hoang Nguyen, Bui Hoang Bac, Xuan-Nam Bui
Natural Resources Research (2020) Vol. 30, Iss. 1, pp. 621-638
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Performance of Hybrid SCA-RF and HHO-RF Models for Predicting Backbreak in Open-Pit Mine Blasting Operations
Jian Zhou, Yong Dai, Manoj Khandelwal, et al.
Natural Resources Research (2021) Vol. 30, Iss. 6, pp. 4753-4771
Closed Access | Times Cited: 55
Energy consumption prediction of air-conditioning systems in eco-buildings using hunger games search optimization-based artificial neural network model
Rui Liang, Tien Le-Hung, T. Nguyen‐Thoi
Journal of Building Engineering (2022) Vol. 59, pp. 105087-105087
Closed Access | Times Cited: 33
A refreshing view of soft computing models for predicting the deflection of reinforced concrete beams
Chun Hua Bai, Hoang Nguyen, Panagiotis G. Asteris, et al.
Applied Soft Computing (2020) Vol. 97, pp. 106831-106831
Closed Access | Times Cited: 41
A novel artificial intelligent model for predicting water treatment efficiency of various biochar systems based on artificial neural network and queuing search algorithm
Xiaolei Zheng, Hoang Nguyen
Chemosphere (2021) Vol. 287, pp. 132251-132251
Closed Access | Times Cited: 33
Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water
Kevin Lawrence M. de Jesus, Delia B. Senoro, Jennifer C. Dela Cruz, et al.
Toxics (2022) Vol. 10, Iss. 2, pp. 95-95
Open Access | Times Cited: 24
Estimation of gross calorific value based on coal analysis using an explainable artificial intelligence
Saeed Chehreh Chelgani
Machine Learning with Applications (2021) Vol. 6, pp. 100116-100116
Open Access | Times Cited: 30
Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural network, and brainstorm optimization
Li Shang, Hoang Nguyen, Xuan-Nam Bui, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1295-1314
Closed Access | Times Cited: 28
Prediction of gross calorific value from coal analysis using decision tree-based bagging and boosting techniques
Tanveer Alam Munshi, Labiba Nusrat Jahan, M. Farhad Howladar, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23395-e23395
Open Access | Times Cited: 12
Deep learning CNN-APSO-LSSVM hybrid fusion model for feature optimization and gas-bearing prediction
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Petroleum Science (2024) Vol. 21, Iss. 4, pp. 2329-2344
Open Access | Times Cited: 4
Prediction of ground vibration intensity in mine blasting using the novel hybrid MARS–PSO–MLP model
Hoang Nguyen, Xuan-Nam Bui, Quang‐Hieu Tran, et al.
Engineering With Computers (2021) Vol. 38, Iss. S5, pp. 4007-4025
Closed Access | Times Cited: 25
Solar Photocatalytic Membranes: An Experimental and Artificial Neural Network Modeling Approach for Niflumic Acid Degradation
Lamine Aoudjit, Hugo Salazar, Djamila Zioui, et al.
Membranes (2022) Vol. 12, Iss. 9, pp. 849-849
Open Access | Times Cited: 18
Calorific value prediction of coal and its optimization by machine learning based on limited samples in a wide range
Kaan Büyükkanber, H. Haykırı-Açma, S. Yaman
Energy (2023) Vol. 277, pp. 127666-127666
Closed Access | Times Cited: 10
Predicting calorific value through proximate analysis of municipal solid waste using soft computing system
Saptarshi Mondal, Islam M. Rafizul
Deleted Journal (2025) Vol. 7, Iss. 3
Open Access
Characterization of Coal Structure of High-Thickness Coal Reservoir Using Geophysical Logging: A Case Study in Southern Junggar Basin, Xinjiang, Northwest China
Junqiang Kang, Xuehai Fu, Jian Shen, et al.
Natural Resources Research (2022) Vol. 31, Iss. 2, pp. 929-951
Closed Access | Times Cited: 16
A data-driven workflow based on multisource transfer machine learning for gas-bearing probability distribution prediction: A case study
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Geophysics (2023) Vol. 88, Iss. 4, pp. B163-B177
Closed Access | Times Cited: 9
Estimating heavy metals absorption efficiency in an aqueous solution using nanotube-type halloysite from weathered pegmatites and a novel Harris hawks optimization-based multiple layers perceptron neural network
Bui Hoang Bac, Hoang Nguyen, Nguyễn Thị Thảo, et al.
Engineering With Computers (2021) Vol. 38, Iss. S5, pp. 4257-4272
Closed Access | Times Cited: 19
Prediction of the stability of gob‐side entry formation by roof cutting by machine learning‐based models
Yu-bing Gao, Qiukai Gai, Xun Xi, et al.
Energy Science & Engineering (2023) Vol. 11, Iss. 6, pp. 2202-2217
Open Access | Times Cited: 6
Application of artificial intelligence in predicting slope stability in open-pit mines: A case study with a novel imperialist competitive algorithm-based radial basis function neural network
Hoang Nguyen, Xuan-Nam Bui, Yosoon Choi, et al.
Elsevier eBooks (2024), pp. 97-111
Closed Access | Times Cited: 2
Limitations Associated with Proximate Analysis-Based Gross Calorific Value Modeling for Coals
Priya Ranjan Kumar, M. H. Tyeb, Santosh Kumar Mishra, et al.
Mineral Processing and Extractive Metallurgy Review (2024), pp. 1-12
Closed Access | Times Cited: 2
Estimation of gross calorific value of coal based on the cubist regression model
Junlin Chen, Yuli He, Yuexia Liang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models
Hamed Jalil-Masir, Rohollah Fattahi, Elham Ghanbari-Adivi, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 44, pp. 67180-67213
Closed Access | Times Cited: 10
Variable Selection and Oil-Gas-Bearing Evaluation Using Multicomponent Seismic Data and AMPSO-ML Approaches
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
SPE Journal (2023) Vol. 28, Iss. 03, pp. 1183-1201
Closed Access | Times Cited: 1
Estimating the Cd2+ adsorption efficiency on nanotubular halloysites in weathered pegmatites using optimized artificial neural networks: Insights into predictive model development
Mark A. Engle, Bui Hoang Bac, Hoa Anh Nguyen
Elsevier eBooks (2024), pp. 75-96
Closed Access
Relationship between petrological characteristics and gross calorific value of coal
Priya Ranjan Kumar, Sanchita Chakravarty, A. K. Majumder
Fuel (2024) Vol. 380, pp. 133180-133180
Closed Access
Predicting Calorific Value through Proximate Analysis of Municipal Solid Waste Using Soft Computing System
Saptarshi Mondal, Islam M. Rafizul
Research Square (Research Square) (2024)
Open Access
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