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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:

Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting
Jie Sun, Hui Li, Hamido Fujita, et al.
Information Fusion (2019) Vol. 54, pp. 128-144
Closed Access | Times Cited: 284

Showing 1-25 of 284 citing articles:

Selecting critical features for data classification based on machine learning methods
Rung-Ching Chen, Christine Dewi, Su-Wen Huang, et al.
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 699
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
Bo Zhao, Xianmin Zhang, Hai Li, et al.
Knowledge-Based Systems (2020) Vol. 199, pp. 105971-105971
Closed Access | Times Cited: 299
A hybrid sampling algorithm combining M-SMOTE and ENN based on Random forest for medical imbalanced data
Zhaozhao Xu, Derong Shen, Tiezheng Nie, et al.
Journal of Biomedical Informatics (2020) Vol. 107, pp. 103465-103465
Open Access | Times Cited: 216
Adaptive stock trading strategies with deep reinforcement learning methods
Xing Wu, Haolei Chen, Jianjia Wang, et al.
Information Sciences (2020) Vol. 538, pp. 142-158
Closed Access | Times Cited: 196
Survey on Synthetic Data Generation, Evaluation Methods and GANs
Álvaro Figueira, Bruno Vaz
Mathematics (2022) Vol. 10, Iss. 15, pp. 2733-2733
Open Access | Times Cited: 160
Applications of artificial intelligence in engineering and manufacturing: a systematic review
Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori, et al.
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 6, pp. 1581-1601
Closed Access | Times Cited: 139
Effectiveness of Digital Technology in Education During COVID-19 Pandemic. A Bibliometric Analysis
Ishamuddin Mustapha, Nguyen Thuy Van, Masoumeh Shahverdi, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2021) Vol. 15, Iss. 08, pp. 136-136
Open Access | Times Cited: 105
Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods
Jie Sun, Hamido Fujita, Yujiao Zheng, et al.
Information Sciences (2021) Vol. 559, pp. 153-170
Closed Access | Times Cited: 102
Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset
Elsie Fezeka Swana, Wesley Doorsamy, Pitshou N. Bokoro
Sensors (2022) Vol. 22, Iss. 9, pp. 3246-3246
Open Access | Times Cited: 100
Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction
Jinxian Zhao, Jamal Ouenniche, Johannes De Smedt
Machine Learning with Applications (2024) Vol. 15, pp. 100527-100527
Open Access | Times Cited: 16
A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network
Hongli Niu, Kunliang Xu, Weiqing Wang
Applied Intelligence (2020) Vol. 50, Iss. 12, pp. 4296-4309
Closed Access | Times Cited: 136
I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems
Punam Bedi, Neha Gupta, Vinita Jindal
Applied Intelligence (2020) Vol. 51, Iss. 2, pp. 1133-1151
Open Access | Times Cited: 123
One-class support vector classifiers: A survey
Shamshe Alam, Sanjay Kumar Sonbhadra, Sonali Agarwal, et al.
Knowledge-Based Systems (2020) Vol. 196, pp. 105754-105754
Closed Access | Times Cited: 114
Combining corporate governance indicators with stacking ensembles for financial distress prediction
Deron Liang, Chih‐Fong Tsai, Hung-Yuan Lu, et al.
Journal of Business Research (2020) Vol. 120, pp. 137-146
Closed Access | Times Cited: 110
Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree
Hongyi Qian, Baohui Wang, Minghe Yuan, et al.
Expert Systems with Applications (2021) Vol. 190, pp. 116202-116202
Closed Access | Times Cited: 85
CTS-LSTM: LSTM-based neural networks for correlatedtime series prediction
Huaiyu Wan, Shengnan Guo, Kang Yin, et al.
Knowledge-Based Systems (2019) Vol. 191, pp. 105239-105239
Closed Access | Times Cited: 84
Vital spreaders identification in complex networks with multi-local dimension
Tao Wen, Danilo Pelusi, Yong Deng
Knowledge-Based Systems (2020) Vol. 195, pp. 105717-105717
Open Access | Times Cited: 79
A Comparative Study of Class Rebalancing Methods for Security Bug Report Classification
Wei Zheng, Yuxing Xun, Xiaoxue Wu, et al.
IEEE Transactions on Reliability (2021) Vol. 70, Iss. 4, pp. 1658-1670
Open Access | Times Cited: 77
Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm
Li Zeng, Wenchao Huang, Yan Xiong, et al.
Knowledge-Based Systems (2020) Vol. 195, pp. 105694-105694
Closed Access | Times Cited: 73
Relevant information undersampling to support imbalanced data classification
Keider Hoyos-Osorio, Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, et al.
Neurocomputing (2021) Vol. 436, pp. 136-146
Closed Access | Times Cited: 64
Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction
Chih‐Fong Tsai, Kuen‐Liang Sue, Ya‐Han Hu, et al.
Journal of Business Research (2021) Vol. 130, pp. 200-209
Closed Access | Times Cited: 55
A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain
Gang Yao, Xiaojian Hu, Guanxiong Wang
Expert Systems with Applications (2022) Vol. 200, pp. 117002-117002
Closed Access | Times Cited: 54
Deep LSTM Model for Diabetes Prediction with Class Balancing by SMOTE
Suja A. Alex, N. Z. Jhanjhi, Mamoona Humayun, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2737-2737
Open Access | Times Cited: 52
Combining weighted SMOTE with ensemble learning for the class-imbalanced prediction of small business credit risk
Mohammad Zoynul Abedin, Guotai Chi, Petr Hájek, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 4, pp. 3559-3579
Open Access | Times Cited: 50
An explainable artificial intelligence approach for financial distress prediction
Zijiao Zhang, Chong Wu, Shiyou Qu, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102988-102988
Closed Access | Times Cited: 50
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