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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:

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

Showing 12 citing articles:

Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification
Miguel López-Pérez, Pablo Morales-Álvarez, Lee Cooper, et al.
IEEE Access (2023) Vol. 11, pp. 6922-6934
Open Access | Times Cited: 14
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
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
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
Theoretical guarantee for crowdsourcing learning with unsure option
Yigong Pan, Ke Tang, Guangzhong Sun
Pattern Recognition (2023) Vol. 137, pp. 109316-109316
Closed Access | Times Cited: 2
Learning From Crowds With Contrastive Representation
Hang Yang, Xunbo Li, Witold Pedrycz
IEEE Access (2023) Vol. 11, pp. 40182-40191
Open Access | Times Cited: 2
Learning from crowds for automated histopathological image segmentation
Miguel López-Pérez, Pablo Morales-Álvarez, Lee Cooper, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 112, pp. 102327-102327
Open Access
ELDP: Enhanced Label Distribution Propagation for Crowdsourcing
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 47, Iss. 3, pp. 1850-1862
Closed Access
CrowdDA: Difficulty-aware crowdsourcing task optimization for cleaning web tables
Yihai Xi, Ning Wang, Yiyi Zhang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122139-122139
Closed Access | Times Cited: 1
Worker similarity-based noise correction for crowdsourcing
Yufei Hu, Liangxiao Jiang, Wenjun Zhang
Information Systems (2023) Vol. 121, pp. 102321-102321
Closed Access | Times Cited: 1
Machine Learning-Based Approach for Automatic Ion Implanter Monitoring
Yu‐Ling Lin, Qiangfu Zhao, Shih‐Cheng Horng
(2022), pp. 1-6
Closed Access | Times Cited: 1
Prediction Model of Elderly Care Willingness Based on Machine Learning
Yongchao Jin, Dongmei Liu, Kenan Wang, et al.
Mathematics (2023) Vol. 11, Iss. 3, pp. 606-606
Open Access
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