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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:

Incremental Class Learning for Hierarchical Classification
Ju-Youn Park, Jong-Hwan Kim
IEEE Transactions on Cybernetics (2018) Vol. 50, Iss. 1, pp. 178-189
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

An Appraisal of Incremental Learning Methods
Yong Luo, Liancheng Yin, Wen-Chao Bai, et al.
Entropy (2020) Vol. 22, Iss. 11, pp. 1190-1190
Open Access | Times Cited: 79
Memory-Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao, Hui Wang, Yongjian Fu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 10, pp. 5966-5977
Open Access | Times Cited: 66
Hierarchical classification of insects with multitask learning and anomaly detection
Kim Bjerge, Quentin Geissmann, Jamie Alison, et al.
Ecological Informatics (2023) Vol. 77, pp. 102278-102278
Open Access | Times Cited: 26
Individualized AI Tutor Based on Developmental Learning Networks
Woo-Hyun Kim, Jong-Hwan Kim
IEEE Access (2020) Vol. 8, pp. 27927-27937
Open Access | Times Cited: 47
A Hierarchical Attention Network for Cross-Domain Group Recommendation
Ruxia Liang, Qian Zhang, Jian‐qiang Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 3, pp. 3859-3873
Closed Access | Times Cited: 19
A Novel Hierarchical Classification for DoA Estimation Using Coprime Array With Sensor Location Errors
Yuxin Zhang, Huijing Dou
Digital Signal Processing (2025), pp. 105245-105245
Closed Access
Multi-Label Classification via Adaptive Resonance Theory-Based Clustering
Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 7, pp. 8696-8712
Open Access | Times Cited: 14
End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery
Shubham Pateria, Budhitama Subagdja, Ah‐Hwee Tan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 12, pp. 7778-7790
Open Access | Times Cited: 20
Topology structure optimization of evolutionary hierarchical fuzzy systems
Tao Zhao, Yuemin Zhu, Xiangpeng Xie
Expert Systems with Applications (2023) Vol. 238, pp. 121857-121857
Closed Access | Times Cited: 7
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise
Naiyao Liang, Zuyuan Yang, Junhang Chen, et al.
IEEE Transactions on Big Data (2023) Vol. 10, Iss. 1, pp. 55-65
Closed Access | Times Cited: 5
Research on multi-granularity imbalanced knowledge condition monitoring for mechanical equipment based on hierarchical ELM in multi-entropy space
Sencai Ma, Gang Cheng, Yong Li, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121817-121817
Closed Access | Times Cited: 5
Improved BLS based transformer fault diagnosis considering imbalanced samples
Chao Xu, Xiaolan Li, Zhenhao Wang, et al.
Energy Reports (2022) Vol. 8, pp. 1446-1453
Open Access | Times Cited: 7
Online incremental hierarchical classification resonance network
Ju-Youn Park, Jong-Hwan Kim
Pattern Recognition (2020) Vol. 111, pp. 107672-107672
Closed Access | Times Cited: 7
Mitigate forgetting in few-shot class-incremental learning using different image views
Pratik Mazumder, Pravendra Singh
Neural Networks (2023) Vol. 165, pp. 999-1009
Closed Access | Times Cited: 2
Automatic Hierarchical Reinforcement Learning for Reusing Service Process Fragments
Rong Yang, Bing Li, Zhengli Liu
IEEE Access (2021) Vol. 9, pp. 20746-20759
Open Access | Times Cited: 4
Learning a Bayesian network with multiple latent variables for implicit relation representation
Xinran Wu, Kun Yue, Liang Duan, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 4, pp. 1634-1669
Closed Access
Obfuscated Malware Classification Using Hierarchy-Based Pipeline
Ivan Mršulja, Јелена Сливка, Goran Sladić
Lecture notes in networks and systems (2024), pp. 401-409
Closed Access
Adaptive Developmental Resonance Network
Gyeong-Moon Park, Jong-Hwan Kim
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 10, pp. 4347-4361
Closed Access | Times Cited: 3
Multi-label Classification Based on Adaptive Resonance Theory
Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020), pp. 1913-1920
Closed Access | Times Cited: 3
Label-noise robust classification with multi-view learning
Naiyao Liang, Zuyuan Yang, Lingjiang Li, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 6, pp. 1841-1854
Closed Access | Times Cited: 1
A Class-Incremental Classification Method Based on Support Vector Machine
Praneet Prabhakar Sherki, Vanraj Vala
(2020), pp. 31-36
Closed Access | Times Cited: 2
Conceptual Cognitive Modeling for Fine-Grained Annotation Quality Assessment of Object Detection Datasets
Lei Guo, Xinying Xu, Gang Xie, et al.
Discrete Dynamics in Nature and Society (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 2
Incrementally Classifying Different Walking Activities Based on Wearable Sensors
Xiuhua Liu, Qining Wang
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2021), pp. 699-704
Closed Access | Times Cited: 2
A Hierarchal Approach for Arabic Phonemes Classification
Mona A. Azim, Wedad Hussein, Nagwa L. Badr
(2021) Vol. 79, pp. 99-104
Closed Access | Times Cited: 2
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao, Hui Wang, Yongjian Fu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
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