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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-Stacking and A-Bagging: Adaptive versions of ensemble learning algorithms for spoof fingerprint detection
Shivang Agarwal, C. Ravindranath Chowdary
Expert Systems with Applications (2019) Vol. 146, pp. 113160-113160
Closed Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Solar Radiation Prediction Using Different Machine Learning Algorithms and Implications for Extreme Climate Events
Liexing Huang, Junfeng Kang, Mengxue Wan, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 105
A Literature Review of Textual Hate Speech Detection Methods and Datasets
Fatimah Alkomah, Xiaogang Ma
Information (2022) Vol. 13, Iss. 6, pp. 273-273
Open Access | Times Cited: 83
Design of Accurate Classification of COVID-19 Disease in X-Ray Images Using Deep Learning Approach
Joy Iong‐Zong Chen
Journal of ISMAC (2021) Vol. 2, Iss. 2, pp. 132-148
Closed Access | Times Cited: 99
Estimating the heavy metal contents in farmland soil from hyperspectral images based on Stacked AdaBoost ensemble learning
Nan Lin, Ranzhe Jiang, Genjun Li, et al.
Ecological Indicators (2022) Vol. 143, pp. 109330-109330
Open Access | Times Cited: 50
Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: Case studies of COVID-19 in the US metropolitans
Mohammed Rashad Baker, Kamal H. Jihad, Hussein Al-bayaty, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106350-106350
Closed Access | Times Cited: 24
Towards asymmetric uncertainty modeling in designing General Type-2 Fuzzy classifiers for medical diagnosis
Emanuel Ontiveros-Robles, Oscar Castillo, Patricia Melín
Expert Systems with Applications (2021) Vol. 183, pp. 115370-115370
Closed Access | Times Cited: 40
Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19
Shivang Agarwal, C. Ravindranath Chowdary
Expert Systems with Applications (2021) Vol. 185, pp. 115632-115632
Open Access | Times Cited: 33
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring
Ali Yeganeh, Saddam Akber Abbasi, Farhad Pourpanah, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117572-117572
Closed Access | Times Cited: 22
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems
Hongke Zhao, Chuang Zhao, Xi Zhang, et al.
INFORMS journal on computing (2023) Vol. 35, Iss. 4, pp. 747-763
Closed Access | Times Cited: 15
An ANN-based ensemble model for change point estimation in control charts
Ali Yeganeh, Farhad Pourpanah, Alireza Shadman
Applied Soft Computing (2021) Vol. 110, pp. 107604-107604
Closed Access | Times Cited: 31
HyFiPAD: a hybrid approach for fingerprint presentation attack detection using local and adaptive image features
Deepika Sharma, Arvind Selwal
The Visual Computer (2021) Vol. 38, Iss. 8, pp. 2999-3025
Closed Access | Times Cited: 30
Comprehensive study on sensitive parameters for chiller fault diagnosis
Yu Gao, Hua Han, Zhengxiong Ren, et al.
Energy and Buildings (2021) Vol. 251, pp. 111318-111318
Closed Access | Times Cited: 30
Application of stacking ensemble learning model in quantitative analysis of biomaterial activity
Hao Cao, Youlin Gu, Jiajie Fang, et al.
Microchemical Journal (2022) Vol. 183, pp. 108075-108075
Closed Access | Times Cited: 20
Cataract grading method based on deep convolutional neural networks and stacking ensemble learning
Yaroub Elloumi
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 3, pp. 798-814
Open Access | Times Cited: 19
PREDICTION OF HARDNESS, FLEXURAL STRENGTH, AND FRACTURE TOUGHNESS OF ZRO2 BASED CERAMICS USING ENSEMBLE LEARNING ALGORITHMS
V. V. Kulyk, Ivan Izonin, V. І. Vavrukh, et al.
Acta Metallurgica Slovaca (2023) Vol. 29, Iss. 2, pp. 93-103
Open Access | Times Cited: 12
An intelligent approach for fingerprint presentation attack detection using ensemble learning with improved local image features
Deepika Sharma, Arvind Selwal
Multimedia Tools and Applications (2021) Vol. 81, Iss. 16, pp. 22129-22161
Closed Access | Times Cited: 24
FinPAD: State-of-the-art of fingerprint presentation attack detection mechanisms, taxonomy and future perspectives
Deepika Sharma, Arvind Selwal
Pattern Recognition Letters (2021) Vol. 152, pp. 225-252
Closed Access | Times Cited: 23
Accelerating automatic hate speech detection using parallelized ensemble learning models
Shivang Agarwal, Ankur Sonawane, C. Ravindranath Chowdary
Expert Systems with Applications (2023) Vol. 230, pp. 120564-120564
Closed Access | Times Cited: 10
Stacking Ensemble Learning-Based Load Identification Considering Feature Fusion by Cyber-Physical Approach
Yanzhen Li, Haixin Wang, Zihao Yang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 6, pp. 5997-6007
Closed Access | Times Cited: 9
Mineral prospectivity mapping susceptibility evaluation based on interpretable ensemble learning
Zhengbo Yu, Binbin Li, Xingjie Wang
Ore Geology Reviews (2024), pp. 106248-106248
Open Access | Times Cited: 3
High-Precision Population Spatialization in Metropolises Based on Ensemble Learning: A Case Study of Beijing, China
Wenxuan Bao, Adu Gong, Yiran Zhao, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3654-3654
Open Access | Times Cited: 15
Forensic-based investigation-optimized extreme gradient boosting system for predicting compressive strength of ready-mixed concrete
Jui‐Sheng Chou, Liying Chen, Chi‐Yun Liu
Journal of Computational Design and Engineering (2022) Vol. 10, Iss. 1, pp. 425-445
Open Access | Times Cited: 15
Driver Lane-Changing Intention Recognition Based on Stacking Ensemble Learning in the Connected Environment: A Driving Simulator Study
Hongjia Zhang, Song Gao, Yingshi Guo
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 2, pp. 1503-1518
Closed Access | Times Cited: 8
Ensemble learning based software defect prediction
Xin Dong, Yan Liang, Shoichiro Miyamoto, et al.
Journal of Engineering Research (2023) Vol. 11, Iss. 4, pp. 377-391
Open Access | Times Cited: 8
Spatial prediction of landslides along National Highway-6, Hoa Binh province, Vietnam using novel hybrid models
Hang Ha, Tung Hoang, Pham Duy Hoa, et al.
Geocarto International (2021) Vol. 37, Iss. 18, pp. 5201-5226
Closed Access | Times Cited: 19
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