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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:

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification
Hong Zeng, Yang Chen, Hua Zhang, et al.
Computational Intelligence and Neuroscience (2019) Vol. 2019, pp. 1-11
Open Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms
Weizhang Liang, Suizhi Luo, Guoyan Zhao, et al.
Mathematics (2020) Vol. 8, Iss. 5, pp. 765-765
Open Access | Times Cited: 347
Prediction of rapid chloride penetration resistance of metakaolin based high strength concrete using light GBM and XGBoost models by incorporating SHAP analysis
Anas Abdulalim Alabdullah, Mudassir Iqbal, Muhammad Zahid, et al.
Construction and Building Materials (2022) Vol. 345, pp. 128296-128296
Closed Access | Times Cited: 178
EEG-based emotion recognition using 4D convolutional recurrent neural network
Fangyao Shen, Guojun Dai, Guang Lin, et al.
Cognitive Neurodynamics (2020) Vol. 14, Iss. 6, pp. 815-828
Open Access | Times Cited: 153
Past, Present, and Future of EEG-Based BCI Applications
Kaido Värbu, Naveed Muhammad, Yar Muhammad
Sensors (2022) Vol. 22, Iss. 9, pp. 3331-3331
Open Access | Times Cited: 144
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Expert Systems with Applications (2023) Vol. 244, pp. 122778-122778
Open Access | Times Cited: 121
A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability
Irfan Ullah, Kai Liu, Toshiyuki Yamamoto, et al.
Energy & Environment (2021) Vol. 33, Iss. 8, pp. 1583-1612
Closed Access | Times Cited: 112
A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm
Mahsa Hajihosseinlou, Abbas Maghsoudi, Reza Ghezelbash
Natural Resources Research (2023) Vol. 32, Iss. 6, pp. 2417-2438
Closed Access | Times Cited: 50
A Model Combining Multi Branch Spectral-Temporal CNN, Efficient Channel Attention, and LightGBM for MI-BCI Classification
Hai Jia, Shiqi Yu, Shunjie Yin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1311-1320
Open Access | Times Cited: 43
Proposed numerical and machine learning models for fiber-reinforced polymer concrete-steel hollow and solid elliptical columns
Qiong Tang, Ishan Jha, Alireza Bahrami, et al.
Frontiers of Structural and Civil Engineering (2024) Vol. 18, Iss. 8, pp. 1169-1194
Closed Access | Times Cited: 17
Real-time rainfall-runoff prediction using light gradient boosting machine coupled with singular spectrum analysis
Zhongjie Cui, Qing Xiaoxia, Hongxiang Chai, et al.
Journal of Hydrology (2021) Vol. 603, pp. 127124-127124
Closed Access | Times Cited: 65
Application of Gradient Boosting Machine Learning Algorithms to Predict Uniaxial Compressive Strength of Soft Sedimentary Rocks at Thar Coalfield
Niaz Muhammad Shahani, Muhammad Kamran, Xigui Zheng, et al.
Advances in Civil Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 63
Evaluating the Impact of External Support on Green Building Construction Cost: A Hybrid Mathematical and Machine Learning Prediction Approach
Odey Alshboul, Ali Shehadeh, Ghassan Almasabha, et al.
Buildings (2022) Vol. 12, Iss. 8, pp. 1256-1256
Open Access | Times Cited: 44
Intelligent based decision-making strategy to predict fire intensity in subsurface engineering environments
Muhammad Kamran, Ridho Kresna Wattimena, Danial Jahed Armaghani, et al.
Process Safety and Environmental Protection (2023) Vol. 171, pp. 374-384
Closed Access | Times Cited: 34
Application of Artificial Intelligence Techniques for Brain–Computer Interface in Mental Fatigue Detection: A Systematic Review (2011–2022)
Hamwira Yaacob, Farhad Hossain, Sharunizam Shari, et al.
IEEE Access (2023) Vol. 11, pp. 74736-74758
Open Access | Times Cited: 32
Efficient state of charge estimation in electric vehicles batteries based on the extra tree regressor: A data-driven approach
Sadiqa Jafari, Yung-Cheol Byun
Heliyon (2024) Vol. 10, Iss. 4, pp. e25949-e25949
Open Access | Times Cited: 15
An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction
Hong Zeng, Xiufeng Li, Gianluca Borghini, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2369-2369
Open Access | Times Cited: 49
Machine Learning Algorithm for Shear Strength Prediction of Short Links for Steel Buildings
Ghassan Almasabha, Odey Alshboul, Ali Shehadeh, et al.
Buildings (2022) Vol. 12, Iss. 6, pp. 775-775
Open Access | Times Cited: 36
Machine Learning-Based Intelligent Prediction of Elastic Modulus of Rocks at Thar Coalfield
Niaz Muhammad Shahani, Xigui Zheng, Xiaowei Guo, et al.
Sustainability (2022) Vol. 14, Iss. 6, pp. 3689-3689
Open Access | Times Cited: 35
E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database
Nima Safaei, Babak Safaei, Seyedhouman Seyedekrami, et al.
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0262895-e0262895
Open Access | Times Cited: 35
Blood pressure stratification using photoplethysmography and light gradient boosting machine
Xudong Hu, Shimin Yin, Xizhuang Zhang, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 18
Hematoma expansion prediction based on SMOTE and XGBoost algorithm
Yan Li, Chaonan Du, Sikai Ge, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Hybrid PSO with tree-based models for predicting uniaxial compressive strength and elastic modulus of rock samples
Niaz Muhammad Shahani, Qin Xiaowei, Xin Wei, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 6
Monitoring workers on indoor construction sites using data fusion of real-time worker's location, body orientation, and productivity state
Mohammadali Khazen, Mazdak Nik‐Bakht, Osama Moselhi
Automation in Construction (2024) Vol. 160, pp. 105327-105327
Open Access | Times Cited: 6
Deciphering the nonlinear and synergistic role of building energy variables in shaping carbon emissions: A LightGBM- SHAP framework in office buildings
Congyue Zhou, Zhu Wang, Xuanli Wang, et al.
Building and Environment (2024) Vol. 266, pp. 112035-112035
Closed Access | Times Cited: 6
A Study on Gradient Boosting Algorithms for Development of AI Monitoring and Prediction Systems
Norshakirah Aziz, Emelia Akashah Patah Akhir, Izzatdin Abdul Aziz, et al.
(2020), pp. 11-16
Closed Access | Times Cited: 47
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