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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:

Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks
Pieter Van Molle, Tim Verbelen, Bert Vankeirsbilck, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 16, pp. 10259-10275
Open Access | Times Cited: 13

Showing 13 citing articles:

Compressing spectral kernels in Gaussian Process: Enhanced generalization and interpretability
Kai Chen, Twan van Laarhoven, Elena Marchiori
Pattern Recognition (2024) Vol. 155, pp. 110642-110642
Closed Access | Times Cited: 1
Uncertainty-aware selecting for an ensemble of deep food recognition models
Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva
Computers in Biology and Medicine (2022) Vol. 146, pp. 105645-105645
Closed Access | Times Cited: 7
Controlling extrapolations of nuclear properties with feature selection
R. Navarro Pérez, N. Schunck
Physics Letters B (2022) Vol. 833, pp. 137336-137336
Open Access | Times Cited: 6
Adaptive Reference-Related Graph Embedding for Hyperspectral Anomaly Detection
Yubo Ma, Siyu Cai, Jie Zhou
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 3
Dermatologist versus artificial intelligence confidence in dermoscopy diagnosis: Complementary information that may affect decision‐making
Pieter Van Molle, Sofie Mylle, Tim Verbelen, et al.
Experimental Dermatology (2023) Vol. 32, Iss. 10, pp. 1744-1751
Open Access | Times Cited: 3
A Precise Bare Simulation Approach to the Minimization of Some Distances. I. Foundations
Michel Broniatowski, Wolfgang Stummer
IEEE Transactions on Information Theory (2022) Vol. 69, Iss. 5, pp. 3062-3120
Open Access | Times Cited: 3
Quantifying the Uncertainty in 3D CT Lung Cancer Images Classification
Rahimi Zahari, Julie Cox, Bogusław Obara
(2023), pp. 1-7
Open Access | Times Cited: 1
A precise bare simulation approach to the minimization of some distances. Foundations
Michel Broniatowski, Wolfgang Stummer
HAL (Le Centre pour la Communication Scientifique Directe) (2021)
Open Access | Times Cited: 2
The value of measuring uncertainty in neural networks in dermoscopy
Pieter Van Molle, Liève Brochez, Tim Verbelen, et al.
Journal of the American Academy of Dermatology (2022) Vol. 87, Iss. 5, pp. 1191-1193
Open Access | Times Cited: 1
Deep learning neural classification for structure-property modelling with engineering alloys
P. M. Siva Raja, R. Sumithra, S. Vidhya, et al.
Materials Today Proceedings (2022) Vol. 62, pp. 6844-6847
Open Access | Times Cited: 1
Evaluation of a sampling approach for computationally efficient uncertainty quantification in regression learning models
Valerio Freschi, Emanuele Lattanzi
Neural Computing and Applications (2022) Vol. 34, Iss. 20, pp. 18113-18123
Open Access | Times Cited: 1
On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation
Martin Van Waerebeke, Gregory A. Lodygensky, José Dolz
Lecture notes in computer science (2022), pp. 36-46
Closed Access | Times Cited: 1
Ship Target Recognition Under Different Sunlight Intensity
Kun Liu, Lehong Mi
Journal of Computer-Aided Design & Computer Graphics (2021) Vol. 33, Iss. 11, pp. 1735-1745
Open Access
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