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:

Improving data and model quality in crowdsourcing using co-training-based noise correction
Dong Yu, Liangxiao Jiang, Chaoqun Li
Information Sciences (2021) Vol. 583, pp. 174-188
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Label augmented and weighted majority voting for crowdsourcing
Ziqi Chen, Liangxiao Jiang, Chaoqun Li
Information Sciences (2022) Vol. 606, pp. 397-409
Closed Access | Times Cited: 38
DLFTI: A deep learning based fast truth inference mechanism for distributed spatiotemporal data in mobile crowd sensing
Jianheng Tang, Kejia Fan, Pengzhi Yin, et al.
Information Sciences (2023) Vol. 644, pp. 119245-119245
Closed Access | Times Cited: 21
TDTA: A truth detection based task assignment scheme for mobile crowdsourced Industrial Internet of Things
Rui Zhang, Zeyuan Li, Naixue Xiong, et al.
Information Sciences (2022) Vol. 610, pp. 246-265
Closed Access | Times Cited: 24
Certainty weighted voting-based noise correction for crowdsourcing
Huiru Li, Liangxiao Jiang, Chaoqun Li
Pattern Recognition (2024) Vol. 150, pp. 110325-110325
Closed Access | Times Cited: 4
Dual-View Learning from Crowds
Huan Zhang, Liangxiao Jiang, Wenjun Zhang, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Closed Access
The processing for label noise based on attribute reduction and two-step method
Xingyu Wu, Ping Zhu
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Detection of Antibiotic Constituent in Aspergillus flavus Using Quantum Convolutional Neural Network
M S Sannidhan, Jason Elroy Martis, Ramesh Sunder Nayak, et al.
International Journal of E-Health and Medical Communications (2023) Vol. 14, Iss. 1, pp. 1-26
Open Access | Times Cited: 11
Attribute augmentation-based label integration for crowdsourcing
Yao Zhang, Liangxiao Jiang, Chaoqun Li
Frontiers of Computer Science (2022) Vol. 17, Iss. 5
Closed Access | Times Cited: 18
Neighborhood Weighted Voting-Based Noise Correction for Crowdsourcing
Huiru Li, Liangxiao Jiang, Siqing Xue
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 17, Iss. 7, pp. 1-18
Closed Access | Times Cited: 10
Learning from crowds with robust logistic regression
Wenbin Li, Chaoqun Li, Liangxiao Jiang
Information Sciences (2023) Vol. 639, pp. 119010-119010
Closed Access | Times Cited: 9
Instance redistribution-based label integration for crowdsourcing
Yao Zhang, Liangxiao Jiang, Chaoqun Li
Information Sciences (2024) Vol. 674, pp. 120702-120702
Closed Access | Times Cited: 3
Contrastive label correction for noisy label learning
Bin Huang, Yaohai Lin, Chaoyang Xu
Information Sciences (2022) Vol. 611, pp. 173-184
Closed Access | Times Cited: 15
Three-way decision-based noise correction for crowdsourcing
Xue Wu, Liangxiao Jiang, Wenjun Zhang, et al.
International Journal of Approximate Reasoning (2023) Vol. 160, pp. 108973-108973
Closed Access | Times Cited: 8
Learning from crowds with decision trees
Wenjun Yang, Chaoqun Li, Liangxiao Jiang
Knowledge and Information Systems (2022) Vol. 64, Iss. 8, pp. 2123-2140
Closed Access | Times Cited: 12
Combining layered label correction and mixup supervised contrastive learning to learn noisy labels
Bin Huang, Ping Zhang, Chaoyang Xu
Information Sciences (2023) Vol. 642, pp. 119242-119242
Closed Access | Times Cited: 7
Explaining tourist revisit intention using natural language processing and classification techniques
Andreas Gregoriades, María Pampaka, Herodotos Herodotou, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Blockchain-based crowdsourced deep reinforcement learning as a service
Ahmed Alagha, Hadi Otrok, Shakti Singh, et al.
Information Sciences (2024) Vol. 679, pp. 121107-121107
Open Access | Times Cited: 2
FNNWV: farthest-nearest neighbor-based weighted voting for class-imbalanced crowdsourcing
Wenjun Zhang, Liangxiao Jiang, Ziqi Chen, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 10
Closed Access | Times Cited: 2
A multi-view-based noise correction algorithm for crowdsourcing learning
Xinyang Li, Chaoqun Li, Liangxiao Jiang
Information Fusion (2022) Vol. 91, pp. 529-541
Closed Access | Times Cited: 9
Adaptive convolution confidence sieve learning for surface defect detection under process uncertainty
Lei Lei, Han‐Xiong Li, Haidong Yang
Information Sciences (2023) Vol. 640, pp. 119014-119014
Closed Access | Times Cited: 5
Instance difficulty-based noise correction for crowdsourcing
Yufei Hu, Liangxiao Jiang, Chaoqun Li
Expert Systems with Applications (2022) Vol. 212, pp. 118794-118794
Closed Access | Times Cited: 8
Label noise correction for crowdsourcing using dynamic resampling
Jing Zhang, Xiaoqian Jiang, Nianshang Tian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108439-108439
Closed Access | Times Cited: 1
DWSP-MT: Discovery of workers sensing preferences to match tasks for improving data collection quality in MCS
Yunchuan Kang, Anfeng Liu, Shaobo Zhang, et al.
Internet of Things (2024) Vol. 26, pp. 101198-101198
Closed Access | Times Cited: 1
Balance label correction using contrastive loss
Bin Huang, Adi Alhudhaif, Fayadh Alenezi, et al.
Information Sciences (2022) Vol. 607, pp. 1061-1073
Closed Access | Times Cited: 7
An error consistency based approach to answer aggregation in open-ended crowdsourcing
Lei Chai, Hailong Sun, Zizhe Wang
Information Sciences (2022) Vol. 608, pp. 1029-1044
Open Access | Times Cited: 7
Page 1 - Next Page

Scroll to top