Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

LA-HCN: Label-based Attention for Hierarchical Multi-label Text Classification Neural Network
Xinyi Zhang, Jiahao Xu, Charlie Soh, et al.
Expert Systems with Applications (2021) Vol. 187, pp. 115922-115922
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification
Zihan Wang, Peiyi Wang, Lianzhe Huang, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 71
Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection
Tengyu Yin, Hongmei Chen, Zhong Yuan, et al.
Information Sciences (2022) Vol. 621, pp. 200-226
Closed Access | Times Cited: 54
Multi-Label Text Classification model integrating Label Attention and Historical Attention
Guoying Sun, Yanan Cheng, Fangzhou Dong, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111878-111878
Closed Access | Times Cited: 8
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
Zihan Wang, Peiyi Wang, Tianyu Liu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 29
Hierarchical Text Classification and Its Foundations: A Review of Current Research
Alessandro Zangari, Matteo Marcuzzo, Matteo Rizzo, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1199-1199
Open Access | Times Cited: 7
Multi-level feature fusion network combining attention mechanisms for polyp segmentation
Junzhuo Liu, Qiaosong Chen, Ye Zhang, et al.
Information Fusion (2023) Vol. 104, pp. 102195-102195
Open Access | Times Cited: 14
A model of integrating convolution and BiGRU dual-channel mechanism for Chinese medical text classifications
Xiaoli Li, Yuying Zhang, Jiangyong Jin, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0282824-e0282824
Open Access | Times Cited: 11
Adaptive micro- and macro-knowledge incorporation for hierarchical text classification
Zijian Feng, Kezhi Mao, Hanzhang Zhou
Expert Systems with Applications (2024) Vol. 248, pp. 123374-123374
Closed Access | Times Cited: 4
Dynamic Q&A multi-label classification based on adaptive multi-scale feature extraction
Ying Li, Ming Li, Xiaoyi Zhang, et al.
Applied Soft Computing (2025), pp. 112740-112740
Closed Access
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
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
Ke Ji, Yixin Lian, Jingsheng Gao, et al.
(2023)
Open Access | Times Cited: 10
Modelling long medical documents and code associations for explainable automatic ICD coding
Wen-hui Hou, Xiaokang Wang, Yanan Wang, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123519-123519
Closed Access | Times Cited: 3
Evolving Long Short-Term Memory Network-Based Text Classification
Arjun Singh, Shashi Kant Dargar, Amit Gupta, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 15
Developing an evidence-based TISM: an application for the success of COVID-19 Vaccination Drive
Shiwangi Singh, Sanjay Dhir, N.A. Sushil
Annals of Operations Research (2022)
Open Access | Times Cited: 15
Improve label embedding quality through global sensitive GAT for hierarchical text classification
H. Liu, Xianying Huang, Xiaoyang Liu
Expert Systems with Applications (2023) Vol. 238, pp. 122267-122267
Closed Access | Times Cited: 7
Retrieval-style In-context Learning for Few-shot Hierarchical Text Classification
Huiyao Chen, Yu Zhao, Zulong Chen, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1214-1231
Open Access | Times Cited: 2
GACaps-HTC: graph attention capsule network for hierarchical text classification
Jinhyun Bang, Jonghun Park, Jong-Hyuk Park
Applied Intelligence (2023) Vol. 53, Iss. 17, pp. 20577-20594
Closed Access | Times Cited: 6
UMP-MG: A Uni-directed Message-Passing Multi-label Generation Model for Hierarchical Text Classification
Bo Ning, Deji Zhao, Xinjian Zhang, et al.
Data Science and Engineering (2023) Vol. 8, Iss. 2, pp. 112-123
Open Access | Times Cited: 6
Hierarchical Multi-label Text Classification Based on Bert
娜 林
Advances in Applied Mathematics (2024) Vol. 13, Iss. 05, pp. 2141-2147
Closed Access | Times Cited: 1
Hierarchical multi-label text classification of tourism resources using a label-aware dual graph attention network
Quan Cheng, Weifu Shi
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103952-103952
Closed Access | Times Cited: 1
Hierarchical classification for account code suggestion
Justin Munoz, Mahdi Jalili, Laleh Tafakori
Knowledge-Based Systems (2022) Vol. 251, pp. 109302-109302
Closed Access | Times Cited: 5
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network
Sunil Kumar Prabhakar, Harikumar Rajaguru, Kwangsub So, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 4
Medical chief complaint classification with hierarchical structure of label descriptions
Zibo Zhang, Zheng Lu, Jiandong Liu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 123938-123938
Closed Access
Hierarchy-aware BERT-GCN Dual-Channel Global Model for Hierarchical Text Classification
Boya Zhang, Ning Wang, Yuanxun Shao, et al.
(2024), pp. 820-825
Closed Access
CC<i>k</i>EL: Compensation-based correlated <i>k</i>-labelsets for classifying imbalanced multi-label data
Qianpeng Xiao, Changbin Shao, Sen Xu, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 5, pp. 3038-3058
Open Access
Page 1 - Next Page

Scroll to top