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:

Modeling operational cement rotary kiln variables with explainable artificial intelligence methods – a “conscious lab” development
Rasoul Fatahi, Hamid Nasiri, Arman Homafar, et al.
Particulate Science And Technology (2022) Vol. 41, Iss. 5, pp. 715-724
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Breast cancer diagnosis from histopathology images using deep neural network and XGBoost
Alireza Maleki, Mohammad Raahemi, Hamid Nasiri
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105152-105152
Closed Access | Times Cited: 51
A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration
Mohammed Achite, Hamid Nasiri, Okan Mert Katipoğlu, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access | Times Cited: 3
Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP
Md. Johir Raihan, Md. Al-Masrur Khan, Seong‐Hoon Kee, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 36
Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks
Aleksandar Petrović, Robertas Damaševičius, Luka Jovanovic, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9181-9181
Open Access | Times Cited: 28
Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods
Alireza Farzipour, Roya Elmi, Hamid Nasiri
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2391-2391
Open Access | Times Cited: 25
CatBoost-SHAP for modeling industrial operational flotation variables – A “conscious lab” approach
Saeed Chehreh Chelgani, Arman Homafar, Hamid Nasiri, et al.
Minerals Engineering (2024) Vol. 213, pp. 108754-108754
Open Access | Times Cited: 6
Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method
Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 13, pp. 1858-1874
Open Access | Times Cited: 14
Transformer Fault Diagnosis Method Based on Incomplete Data and TPE-XGBoost
Tonglei Wang, Qun Li, Jinggang Yang, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7539-7539
Open Access | Times Cited: 12
Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm
Mohammed Abdallah, Babak Mohammadi, Hamid Nasiri, et al.
Energy Reports (2023) Vol. 10, pp. 4198-4217
Open Access | Times Cited: 12
PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson’s disease
Paria Ghaheri, Ahmadreza Shateri, Hamid Nasiri
Software Impacts (2023) Vol. 16, pp. 100504-100504
Open Access | Times Cited: 11
Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome
Fatma Hilal Yağın, Ahmadreza Shateri, Hamid Nasiri, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1857-e1857
Open Access | Times Cited: 4
Modeling the working pressure of a cement vertical roller mill using SHAP-XGBoost: A “conscious lab of grinding principle” approach
Rasoul Fatahi, Hadi Abdollahi, Mohammad Noaparast, et al.
Powder Technology (2025), pp. 120923-120923
Closed Access
Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates
Saeid Saberi, Hamid Nasiri, Omid Ghorbani, et al.
Materials (2023) Vol. 16, Iss. 15, pp. 5381-5381
Open Access | Times Cited: 8
Construction of a Diagnostic Algorithm for Diagnosis of Adult Asthma Using Machine Learning with Random Forest and XGBoost
Katsuyuki Tomita, Akira Yamasaki, Ryohei Katou, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3069-3069
Open Access | Times Cited: 8
A Comparative Analysis of Skin Cancer Detection Applications Using Histogram-Based Local Descriptors
Yıldız Aydın
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3142-3142
Open Access | Times Cited: 8
Leveraging Circular Economy Metrics for Data-Driven Forecasting of Solid Waste Production in Europe
Chun‐Chih Chen, Yu-Shing Chang
Sustainability (2024) Vol. 16, Iss. 3, pp. 1017-1017
Open Access | Times Cited: 2
Interpretation of Drop Size Predictions from a Random Forest Model Using Local Interpretable Model-Agnostic Explanations (LIME) in a Rotating Disc Contactor
Hardik Prabhu, Aamod Sane, Renu Dhadwal, et al.
Industrial & Engineering Chemistry Research (2023)
Closed Access | Times Cited: 6
Pan-Cancer Classification of Gene Expression Data Based on Artificial Neural Network Model
Claudia Cava, Christian Salvatore, Isabella Castiglioni
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7355-7355
Open Access | Times Cited: 4
Predicting and Evaluating Decoring Behavior of Inorganically Bound Sand Cores, Using XGBoost and Artificial Neural Networks
Fabian Dobmeier, Rui Li, Florian Ettemeyer, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7948-7948
Open Access | Times Cited: 4
Machine Learning Assessment of Damage Grade for Post-Earthquake Buildings: A Three-Stage Approach Directly Handling Categorical Features
Yutao Li, Chuanguo Jia, Hong Chen, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13847-13847
Open Access | Times Cited: 3
Dynamic model of sintering temperature prediction in rotary kiln based Seq2Seq with dual attention
Lei Zhang, Binbin Hong, Yanjie Zou, et al.
(2023) Vol. 37, pp. 590-595
Closed Access | Times Cited: 2
Modeling and 3-D simulation of petroleum coke calcination process: investigation of the effect of main operating variables
Mohammad Hosein Eghbal Ahmadi, Shokoufe Tayyebi, Amir Mosayebi
International Journal of Chemical Reactor Engineering (2024)
Closed Access
Industrial Carbon Footprint (ICF) Calculation Approach Based on Bayesian Cross-Validation Improved Cyclic Stacking
Yichao Xie, Bowen Zhou, Zhenyu Wang, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14357-14357
Open Access
SyMPox: An Automated Monkeypox Detection System Based on Symptoms Using XGBoost
Alireza Farzipour, Roya Elmi, Hamid Nasiri
(2023)
Open Access
SyMPox: An Automated Monkeypox Detection System Based on Symptoms Using XGBoost
Alireza Farzipour, Roya Elmi, Hamid Nasiri
(2023)
Open Access
Page 1 - Next Page

Scroll to top