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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:

Mining Big Data with Random Forests
Alessandro Lulli, Luca Oneto, Davide Anguita
Cognitive Computation (2019) Vol. 11, Iss. 2, pp. 294-316
Closed Access | Times Cited: 25

Showing 25 citing articles:

Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges
Md. Hasan Al Banna, Kazi Abu Taher, M. Shamim Kaiser, et al.
IEEE Access (2020) Vol. 8, pp. 192880-192923
Open Access | Times Cited: 95
A measure of innovation performance: the Innovation Patent Index
Linda Ponta, Gloria Puliga, Raffaella Manzini
Management Decision (2021) Vol. 59, Iss. 13, pp. 73-98
Open Access | Times Cited: 73
Oblique and rotation double random forest
M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan, et al.
Neural Networks (2022) Vol. 153, pp. 496-517
Open Access | Times Cited: 50
Forecasting Tourist Arrivals via Random Forest and Long Short-term Memory
Lu Peng, Lin Wang, Xue-Yi Ai, et al.
Cognitive Computation (2020) Vol. 13, Iss. 1, pp. 125-138
Closed Access | Times Cited: 46
Identifying the Determinants of Innovation Capability With Machine Learning and Patents
Linda Ponta, Gloria Puliga, Luca Oneto, et al.
IEEE Transactions on Engineering Management (2020) Vol. 69, Iss. 5, pp. 2144-2154
Closed Access | Times Cited: 33
An efficient predictive analytics system for high dimensional big data
Myat Cho Mon Oo, Thandar Thein
Journal of King Saud University - Computer and Information Sciences (2019) Vol. 34, Iss. 1, pp. 1521-1532
Open Access | Times Cited: 31
Estimation of Flores Sea Aftershock Rupture Data Based on AI
Adi Jufriansah, Azmi Khusnani, Yudhiakto Pramudya, et al.
Indonesian Review of Physics (2023) Vol. 6, Iss. 1, pp. 45-55
Open Access | Times Cited: 4
Comparison of gene set scoring methods for reproducible evaluation of tuberculosis gene signatures
Xutao Wang, Arthur VanValkenberg, Aubrey R. Odom-Mabey, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
An Oversampling Technique with Descriptive Statistics
Hyontai Sug
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2024) Vol. 21, pp. 318-332
Open Access | Times Cited: 1
A multi-model ensemble approach for reservoir dissolved oxygen forecasting based on feature screening and machine learning
Peng Zhang, Xinyang Liu, Huancheng Dai, et al.
Ecological Indicators (2024) Vol. 166, pp. 112413-112413
Open Access | Times Cited: 1
Hadoop framework for efficient sentiment classification using trees
K. Sridharan, G. Komarasamy, Daniel Madan Raja S
IET Networks (2020) Vol. 9, Iss. 5, pp. 223-228
Closed Access | Times Cited: 10
Comparison of gene set scoring methods for reproducible evaluation of multiple tuberculosis gene signatures
Xutao Wang, Arthur VanValkenberg, Aubrey R. Odom-Mabey, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Forecasting the Magnitude Category Based on The Flores Sea Earthquake
Adi Jufriansah, Azmi Khusnani, Sabarudin Saputra, et al.
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2023) Vol. 7, Iss. 6, pp. 1439-1447
Open Access | Times Cited: 3
Diversity-Based Random Forests with Sample Weight Learning
Chun Yang, Xu-Cheng Yin
Cognitive Computation (2019) Vol. 11, Iss. 5, pp. 685-696
Closed Access | Times Cited: 6
Application of Machine Learning Algorithms to Handle Missing Values in Precipitation Data
Andrey Gorshenin, Mariia Lebedeva, Svetlana Lukina, et al.
Lecture notes in computer science (2019), pp. 563-577
Closed Access | Times Cited: 5
Measuring the Effectiveness of Adaptive Random Forest for Handling Concept Drift in Big Data Streams
Abdulaziz O. Al-Qabbany, Aqil M. Azmi
Entropy (2021) Vol. 23, Iss. 7, pp. 859-859
Open Access | Times Cited: 5
FSM-BC-BSP: Frequent Subgraph Mining Algorithm Based on BC-BSP
Fangling Leng, Fan Li, Yubin Bao, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3154-3154
Open Access
Ozone Day Classification using Random Forests with Oversampling and Statistical Tests
Hyontai Sug
WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT (2024) Vol. 20, pp. 863-882
Open Access
A Fast Parallel Random Forest Algorithm Based on Spark
Linzi Yin, Ken Chen, Zhaohui Jiang, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6121-6121
Open Access | Times Cited: 1
On the Efficiency of Machine Learning Algorithms for Imputation in Spatiotemporal Meteorological Data
Andrey Gorshenin, Svetlana S. Lukina
Advances in intelligent systems and computing (2021), pp. 347-356
Closed Access | Times Cited: 1
Optimization of Classification Rules and Voting Strategies for Random Forest
Shi-Shi Huang, Wanrong Gu, Shixin Chen
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) (2021), pp. 381-387
Closed Access | Times Cited: 1
A Study on Thermal Comfort Assessment Frameworks and Models in Cities
Hadi Alizadeh, Ayyoob Sharifi
(2023), pp. 249-264
Closed Access
Adaptive Feature Selection for Google App Rating in Smart Urban Management: A Big Data Analysis Approach
Saeid Pourroostaei Ardakani, Ali Cheshmehzangi
(2023), pp. 81-96
Closed Access
Statistical Significance and Utility of Data-Driven Functional Dependencies of Wine Quality Data of Numerical Attributes
Hyontai Sug
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2023) Vol. 20, pp. 265-275
Open Access
Preventing Dropouts and Promoting Student Success: The Role of Predictive Analytics
Jie Wang, Zhao Su, Yun Liu, et al.
(2023), pp. 282-286
Closed Access
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