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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:

X-Class: Text Classification with Extremely Weak Supervision
Zihan Wang, Dheeraj Mekala, Jingbo Shang
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names
Jiaming Shen, Wenda Qiu, Meng Yu, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 42
Weakly-supervised Text Classification Based on Keyword Graph
Lu Zhang, Jiandong Ding, Yi Xu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 41
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 11
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training
Ran Xu, Yue Yu, Joyce C. Ho, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 2501-2505
Open Access | Times Cited: 10
Multi-Label Text Classification Based on Label-Sentence Bi-Attention Fusion Network with Multi-Level Feature Extraction
Anqi Li, Lin Zhang
Electronics (2025) Vol. 14, Iss. 1, pp. 185-185
Open Access
FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes
Dongsheng Duan, Cunchi Lv, Cheng Zhang, et al.
Knowledge and Information Systems (2025)
Closed Access
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, et al.
(2025), pp. 2032-2042
Closed Access
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training
Yunyi Zhang, Minhao Jiang, Yu Meng, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 9
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
Dheeraj Mekala, Varun Gangal, Jingbo Shang
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 583-594
Open Access | Times Cited: 17
Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words
Yang Lin, Xin Gao, Xu Chu, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 13361-13377
Open Access | Times Cited: 6
RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules
Miaomiao Li, Jiaqi Zhu, Y. Z. Wang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4272-4282
Open Access | Times Cited: 2
Weakly Supervised Text Classification using Supervision Signals from a Language Model
Ziqian Zeng, Weimin Ni, Tianqing Fang, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 10
Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations
Yu Fei, Zhao Meng, Ping Nie, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 10
Weak-PMLC: A large-scale framework for multi-label policy classification based on extremely weak supervision
Jiufeng Zhao, Rui Song, Chitao Yue, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103442-103442
Closed Access | Times Cited: 5
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities
Priyanka Kargupta, Tanay Komarlu, Susik Yoon, et al.
(2023)
Open Access | Times Cited: 5
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information
Yu Zhang, Shweta Garg, Meng Yu, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 1357-1367
Open Access | Times Cited: 9
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification
Dheeraj Mekala, Chengyu Dong, Jingbo Shang
(2022), pp. 4894-4908
Open Access | Times Cited: 9
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers
Yu Zhang, Bowen Jin, Xiusi Chen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 3458-3469
Open Access | Times Cited: 5
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport
Weijie Xu, Xiaoyu Jiang, Srinivasan Sengamedu Hanumantha Rao, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 4433-4457
Open Access | Times Cited: 5
Self‐supervised short text classification with heterogeneous graph neural networks
Meng Cao, Jinliang Yuan, Hualei Yu, et al.
Expert Systems (2023) Vol. 40, Iss. 6
Closed Access | Times Cited: 4
ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification
Kaihao Guo, Hang Yu, Cong Liao, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 3202-3219
Open Access | Times Cited: 4
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches
Zihan Wang, Tianle Wang, Dheeraj Mekala, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 4
Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation
Yiping Jin, Akshay Bhatia, Dittaya Wanvarie
(2021)
Open Access | Times Cited: 8
Weakly-supervised Text Classification with Wasserstein Barycenters Regularization
Jihong Ouyang, Yiming Wang, Ximing Li, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 3373-3379
Open Access | Times Cited: 6
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop

(2021)
Open Access | Times Cited: 7
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