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 New Random Forest Algorithm Based on Learning Automata
Mohammad Savargiv, Behrooz Masoumi, Mohammad Reza Keyvanpour
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Implementing ensemble learning models for the prediction of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 7, pp. 2103-2119
Closed Access | Times Cited: 25

The State of AI-Empowered Backscatter Communications: A Comprehensive Survey
Fang Xu, Touseef Hussain, Manzoor Ahmed, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21763-21786
Open Access | Times Cited: 23

Detection of geochemical anomalies related to mineralization using the Random Forest model optimized by the Competitive Mechanism and Beetle Antennae Search
Mengxue Cao, Dongmei Yin, Yu Zhong, et al.
Journal of Geochemical Exploration (2023) Vol. 249, pp. 107195-107195
Closed Access | Times Cited: 21

Machine learning in TCM with natural products and molecules: current status and future perspectives
Suya Ma, Jinlei Liu, Wenhua Li, et al.
Chinese Medicine (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 17

Analisis Sentimen Tweet Vaksin COVID-19 Menggunakan Recurrent Neural Network dan Naïve Bayes
Merinda Lestandy, Abdurrahim Abdurrahim, Lailis Syafaah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2021) Vol. 5, Iss. 4, pp. 802-808
Open Access | Times Cited: 39

Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC
Jiameng Lu, Xiaoqing Ji, Xinyi Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Multiclass Classification of Different Glass Types using Random Forest Classifier
Nidhi Agarwal, Rakshit Srivastava, Pratishtha Srivastava, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2022), pp. 1682-1689
Closed Access | Times Cited: 18

Construction of Osteosarcoma Diagnosis Model by Random Forest and Artificial Neural Network
Sheng Li, Yukang Que, Rui Yang, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 3, pp. 447-447
Open Access | Times Cited: 9

Locating and deploying essential goods and equipment in disasters using AI-enabled approaches: A systematic literature review
Shima Farazmehr, Yong Wu
Progress in Disaster Science (2023) Vol. 19, pp. 100292-100292
Open Access | Times Cited: 8

Establishment of a risk prediction model for olfactory disorders in patients with transnasal pituitary tumors by machine learning
Min Chen, Yuxin Li, Sumei Zhou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Performance prediction and analysis of perovskite solar cells using machine learning
Debmalya Sadhu, Devansh Dattatreya, Arjun Deo, et al.
Deleted Journal (2024) Vol. 3, pp. 100022-100022
Closed Access | Times Cited: 2

Ensemble Machine Learning Model for University Students’ Risk Prediction and Assessment of Cognitive Learning Outcomes
Ananthi Claral Mary.T, P. J. Arul Leena Rose
International Journal of Information and Education Technology (2023) Vol. 13, Iss. 6, pp. 948-958
Open Access | Times Cited: 5

Deep Learning-Based Classification of Spoken English Digits
Jane Oruh, Serestina Viriri
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 8

Drought risk assessment in the coupled spatial–temporal dimension of the Sichuan Basin, China
Tan Huizhi, Xiaoning Lu, Shiqi Yang, et al.
Natural Hazards (2022) Vol. 114, Iss. 3, pp. 3205-3233
Closed Access | Times Cited: 7

Machine learning predictive approaches for hot crack mitigation in modified TIG welded AA7075 joints
Dhilip Annamalai, Jayakrishnan Nampoothiri, M. Senthilkumar, et al.
Materials and Manufacturing Processes (2022) Vol. 38, Iss. 13, pp. 1650-1662
Closed Access | Times Cited: 7

Construction of diagnostic and prognostic models based on gene signatures of nasopharyngeal carcinoma by machine learning methods
Yiren Wang, Yongcheng He, Xiaodong Duan, et al.
Translational Cancer Research (2023) Vol. 12, Iss. 5, pp. 1254-1269
Open Access | Times Cited: 3

Analysis and Detection of Road Traffic Accident Severity via Data Mining Techniques: Case Study Addis Ababa, Ethiopia
Demeke Endalie, Wondmagegn Taye Abebe
Mathematical Problems in Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 3

Spatio-Temporal Graph Neural Networks for Accurate Crime Prediction
Rojan Roshankar, Mohammad Reza Keyvanpour
(2023) Vol. 10, pp. 168-173
Closed Access | Times Cited: 3

Prediction of lymph node metastasis of lung squamous cell carcinoma by machine learning algorithm classifiers
Guosheng Li, C. Li, Jun Liu, et al.
Journal of Cancer Research and Therapeutics (2023) Vol. 19, Iss. 6, pp. 1533-1543
Open Access | Times Cited: 3

Classification of thyroid diseases using machine learning frameworks
Shanu Verma, Rashmi Popli, Harish Kumar, et al.
International Journal of Health Sciences (2022), pp. 7552-7566
Open Access | Times Cited: 5

The State of AI-Empowered Backscatter Communications: A Comprehensive Survey
Manzoor Ahmed, Touseef Hussain, Khurshed Ali, et al.
(2023)
Open Access | Times Cited: 2

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