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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:

Multilabel naïve Bayes classification considering label dependence
Hae-Cheon Kim, Jin-Hyeong Park, Dae‐Won Kim, et al.
Pattern Recognition Letters (2020) Vol. 136, pp. 279-285
Closed Access | Times Cited: 21

Showing 21 citing articles:

Group-preserving label-specific feature selection for multi-label learning
Jia Zhang, Hanrui Wu, Min Jiang, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118861-118861
Closed Access | Times Cited: 64
A survey of multi-label classification based on supervised and semi-supervised learning
Meng Han, Hongxin Wu, Zhiqiang Chen, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 3, pp. 697-724
Closed Access | Times Cited: 48
A survey on multi-label feature selection from perspectives of label fusion
Wenbin Qian, Jintao Huang, Fankang Xu, et al.
Information Fusion (2023) Vol. 100, pp. 101948-101948
Closed Access | Times Cited: 34
A public and large-scale expert information fusion method and its application: Mining public opinion via sentiment analysis and measuring public dynamic reliability
Xiaohong Chen, Weiwei Zhang, Xuanhua Xu, et al.
Information Fusion (2021) Vol. 78, pp. 71-85
Closed Access | Times Cited: 46
SDDP: sensitive data detection method for user-controlled data pricing
Yuchuan Hu, Bitao Hu, Bing Guo, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Multi-Label Classification Using Binary Tree of Classifiers
Anwesha Law, Ashish Ghosh
IEEE Transactions on Emerging Topics in Computational Intelligence (2021) Vol. 6, Iss. 3, pp. 677-689
Closed Access | Times Cited: 24
A correlation-based feature weighting filter for multi-label Naive Bayes
Gurudatta Verma, Tirath Prasad Sahu
International Journal of Information Technology (2023) Vol. 16, Iss. 1, pp. 611-619
Closed Access | Times Cited: 6
Classification of Network Status in Academic Information Systems using Naive Bayes Algorithm Method
Setiyo Budiyanto, ILHAM FITRA PRATAMA
(2020), pp. 107-112
Closed Access | Times Cited: 10
Clustered Bayesian classification for within-class separation
Fatih Sağlam, Emre Yıldırım, Mehmet Ali Cengiz
Expert Systems with Applications (2022) Vol. 208, pp. 118152-118152
Closed Access | Times Cited: 5
Forecasting model with machine learning in higher education ICFES exams
Daniel Esteban Martínez Cervera, Octavio José Salcedo Parra, Marco Aguilera-Prado
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2021) Vol. 11, Iss. 6, pp. 5402-5402
Open Access | Times Cited: 6
OTO-Net: An Automated MRA Image Segmentation Network for Intracranial Aneurysms
Jianming Ye, Xiaomei Xu, Liuyi Li, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 4
Toward Identifying The Best Base Classifier in Multi Label Classification-an Investigative Study
Mazen Alzyoud, Raed Alazaidah, Haneen Alzoubi, et al.
(2023), pp. 1-9
Closed Access | Times Cited: 2
Investigation of Cloud Computing Based Big Data on Machine Learning Algorithms.
Muhammed Yıldırım, Ahmet Çınar, Emine Cengil
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi (2021) Vol. 10, Iss. 2, pp. 670-682
Open Access | Times Cited: 5
Semantic Annotation of Land Cover Remote Sensing Images Using Fuzzy CNN
K. Saranya, K. Selva Bhuvaneswari
Intelligent Automation & Soft Computing (2022) Vol. 33, Iss. 1, pp. 399-414
Open Access | Times Cited: 3
Memetic multilabel feature selection using pruned refinement process
Wangduk Seo, Jaegyun Park, Sanghyuck Lee, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access
Metode Naive Bayes Dalam Menentukan Program Studi Bagi Calon Mahasiswa Baru
Wildani Eko Nugroho, Ali Sofyan, Oman Somantri
Infotekmesin (2021) Vol. 12, Iss. 1, pp. 59-64
Open Access | Times Cited: 4
Performance Analysis of Machine Learning and Pattern Matching Techniques for Deep Packet Inspection in Firewalls
J.V. BibalBenifa, Saravanan Krishnann, Hoang Viet Long, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 3
Research on patent classification based on hierarchical label semantics
Jie Chen, Shu Zhao, Lu Fan, et al.
2022 3rd International Conference on Education, Knowledge and Information Management (ICEKIM) (2022), pp. 1025-1032
Closed Access | Times Cited: 2
Optimation Parameter and Attribute Naive Bayes in Machine Learning for Performance Assessment in Online Learning
Sastri Sunarti, Irawan Dwi Wahyono, Hari Putranto, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 2
A Naive Bayes Classifier Based on Neighborhood Granulation
Xingyu Fu, Yingyue Chen, Zhiyuan Yao, et al.
Lecture notes in computer science (2022), pp. 132-142
Closed Access | Times Cited: 1
Learning Local and Global Features for Optimized Multi-Label Text Classification
Muhammad Rafi, Fizza Abid
2022 International Arab Conference on Information Technology (ACIT) (2022), pp. 1-9
Closed Access | Times Cited: 1
A zircon classification scheme for sedimentary provenance analysis using radiation damage
Guanzhong Shi, Chuanbo Shen, Bastian Wauschkuhn, et al.
Geological Journal (2023) Vol. 58, Iss. 8, pp. 3087-3095
Open Access
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