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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:

A novel active learning framework for classification: Using weighted rank aggregation to achieve multiple query criteria
Yu Zhao, Zhenhui Shi, Jingyang Zhang, et al.
Pattern Recognition (2019) Vol. 93, pp. 581-602
Open Access | Times Cited: 22

Showing 22 citing articles:

Active Learning and Bayesian Optimization: A Unified Perspective to Learn with a Goal
Francesco Di Fiore, Michela Nardelli, Laura Mainini
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 2985-3013
Open Access | Times Cited: 11
Fault Diagnosis of Rotating Machinery With Limited Expert Interaction: A Multicriteria Active Learning Approach Based on Broad Learning System
Zeyi Liu, Jingfei Zhang, Xiao He, et al.
IEEE Transactions on Control Systems Technology (2022) Vol. 31, Iss. 2, pp. 953-960
Closed Access | Times Cited: 30
Multi-strategy active learning for power quality disturbance identification
Haoyi Zhang, Wu Wei, Kaicheng Li, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111326-111326
Closed Access | Times Cited: 6
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li, Zhen Wang, Yankai Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-21
Open Access | Times Cited: 5
A Comparative Survey: Benchmarking for Pool-based Active Learning
Xueying Zhan, Huan Liu, Qing Li, et al.
(2021), pp. 4679-4686
Open Access | Times Cited: 28
Towards Efficient and Intelligent Internet of Things Search Engine
William G. Hatcher, Cheng Qian, Weichao Gao, et al.
IEEE Access (2021) Vol. 9, pp. 15778-15795
Closed Access | Times Cited: 27
A novel and robust data anomaly detection framework using LAL-AdaBoost for structural health monitoring
Jie Xu, Da-Zhi Dang, Qian Ma, et al.
Journal of Civil Structural Health Monitoring (2022) Vol. 12, Iss. 2, pp. 305-321
Closed Access | Times Cited: 16
A data-driven approach to predict the saturation magnetization for magnetic 14:2:1 phases from chemical composition
Amit Kumar Choudhary, Dominic Hohs, Andreas Jansche, et al.
AIP Advances (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Active Mask-Box Scoring R-CNN for Sonar Image Instance Segmentation
Fangjin Xu, Jianxing Huang, Jie Wu, et al.
Electronics (2022) Vol. 11, Iss. 13, pp. 2048-2048
Open Access | Times Cited: 12
Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning
Zhihui Li, Xiaojun Chang, Lina Yao, et al.
(2020), pp. 297-305
Closed Access | Times Cited: 13
Pairwise learning for the partial label ranking problem
Juan C. Alfaro, Juan A. Aledo, José A. Gámez
Pattern Recognition (2023) Vol. 140, pp. 109590-109590
Open Access | Times Cited: 3
Modified AK-MCS method and its application on the reliability analysis of underground structures in the rock mass
Ngoc-Tuyen Tran, Duc‐Phi Do, Dashnor Hoxha, et al.
Tạp chí Khoa học Công nghệ Xây dựng (KHCNXD) - ĐHXDHN (2022) Vol. 16, Iss. 2, pp. 38-54
Open Access | Times Cited: 4
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal
Francesco Fiore, Michela Nardelli, Laura Mainini
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Time-constrained learning
Sérgio Tonetto de Freitas, Eduardo Sany Laber, Pedro Lazera, et al.
Pattern Recognition (2023) Vol. 142, pp. 109672-109672
Open Access | Times Cited: 2
Extending version-space theory to multi-label active learning with imbalanced data
Ran Wang, Shuyue Chen, Yu Yu
Pattern Recognition (2023) Vol. 142, pp. 109690-109690
Closed Access | Times Cited: 2
Voronoi tree models for distribution-preserving sampling and generation
Cristiano Cervellera, Danilo Macciò
Pattern Recognition (2019) Vol. 97, pp. 107002-107002
Closed Access | Times Cited: 5
Deep Co-Training Active Learning for Mammographic Images Classification
Zhikai Yang, Wei Wu, Jingyang Zhang, et al.
(2020), pp. 1059-1062
Closed Access | Times Cited: 5
A Cost-effective Deep Active Learning for Object Detection in Automated Driving Systems
Mohib Khebbache, Salim Bitam, Abdelhamid Mellouk
International Journal of Computing and Digital Systems (2023) Vol. 14, Iss. 1, pp. 839-854
Open Access | Times Cited: 1
Identifying Adverse Drug Reaction-Related Text from Social Media: A Multi-View Active Learning Approach with Various Document Representations
Jing Liu, Yue Wang, Lihua Huang, et al.
Information (2022) Vol. 13, Iss. 4, pp. 189-189
Open Access | Times Cited: 2
An Advanced User Intent Model Based On User Learning Process
Bo Zhang, Xiaoxuan Qi, Xiaowei Han
International Journal of Pattern Recognition and Artificial Intelligence (2019) Vol. 34, Iss. 09, pp. 2050024-2050024
Closed Access
A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI
Zhenxi Zhang, Jie Li, Zhusi Zhong, et al.
Lecture notes in computer science (2019), pp. 285-298
Closed Access
ALdataset: a benchmark for pool-based active learning
Xueying Zhan, Antoni B. Chan
arXiv (Cornell University) (2020)
Open Access
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