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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:

Multi-view classification with convolutional neural networks
Marco Seeland, Patrick Mäder
PLoS ONE (2021) Vol. 16, Iss. 1, pp. e0245230-e0245230
Open Access | Times Cited: 99

Showing 26-50 of 99 citing articles:

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill
Kevin Kasa, David Burns, Mitchell G. Goldenberg, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7328-7328
Open Access | Times Cited: 10
FACES: A Deep-Learning-Based Parametric Model to Improve Rosacea Diagnoses
Seungman Park, Anna L. Chien, Beiyu Lin, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 970-970
Open Access | Times Cited: 5
Multiple Predominant Instruments Recognition in Polyphonic Music Using Spectro/Modgd-gram Fusion
C. R. Lekshmi, Rajeev Rajan
Circuits Systems and Signal Processing (2023) Vol. 42, Iss. 6, pp. 3464-3484
Closed Access | Times Cited: 5
Predicting Daily Aerobiological Risk Level of Potato Late Blight Using C5.0 and Random Forest Algorithms under Field Conditions
Laura Meno, Olga Escuredo, Isaac Kwesi Abuley, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3818-3818
Open Access | Times Cited: 5
Semantic segmentation of mobile mapping point clouds via multi-view label transfer
Torben Peters, Claus Brenner, Konrad Schindler
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 30-39
Open Access | Times Cited: 5
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies
Elias Villalvazo-Avila, Francisco Lopez-Tiro, Mariana Rizo, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-5
Open Access | Times Cited: 5
Self-supervised Polyp Re-identification in Colonoscopy
Yotam Intrator, Natalie Aizenberg, A. Livne, et al.
Lecture notes in computer science (2023), pp. 590-600
Closed Access | Times Cited: 5
Using DarkNet models and metaheuristic optimization methods together to detect weeds growing along with seedlings
Mesut Toğaçar
Ecological Informatics (2021) Vol. 68, pp. 101519-101519
Closed Access | Times Cited: 12
Regularized Anisotropic Filtered Tanimoto Indexive Deep Multilayer Perceptive Neural Network learning for effective image classification
G. D. Praveenkumar, R. Nagaraj
Neuroscience Informatics (2022) Vol. 2, Iss. 2, pp. 100063-100063
Open Access | Times Cited: 8
Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings
Pooneh Roshanitabrizi, Holger R. Roth, Alison Tompsett, et al.
Lecture notes in computer science (2022), pp. 602-612
Closed Access | Times Cited: 8
Underwater sound speed profile estimation from vessel traffic recordings and multi-view neural networks
Joseph L. Walker, Zheng Zeng, Vanessa M. ZoBell, et al.
The Journal of the Acoustical Society of America (2024) Vol. 155, Iss. 5, pp. 3015-3026
Open Access | Times Cited: 1
ANALYSIS OF CAPSULE NETWORKS FOR IMAGE CLASSIFICATION
Evgin Göçeri
(2021)
Open Access | Times Cited: 11
A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media
Sajad Dadgar, Mehdi Neshat
Sensors (2022) Vol. 22, Iss. 24, pp. 9870-9870
Open Access | Times Cited: 7
DeePSC: A Deep Learning Model for Automated Diagnosis of Primary Sclerosing Cholangitis at Two-dimensional MR Cholangiopancreatography
Haissam Ragab, Fabian Westhaeusser, Anne Ernst, et al.
Radiology Artificial Intelligence (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 4
Multi-Perspective Anomaly Detection
Peter Jakob, Manav Madan, Tobias Schmid, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5311-5311
Open Access | Times Cited: 10
Open surgery tool classification and hand utilization using a multi-camera system
Kristina Basiev, Adam Goldbraikh, Carla M. Pugh, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 8, pp. 1497-1505
Open Access | Times Cited: 6
Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data
Yue Cao, Shila Ghazanfar, Pengyi Yang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 3
Correction: Multi-view classification with convolutional neural networks

PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250190-e0250190
Open Access | Times Cited: 7
Contrastive Learning for Echocardiographic View Integration
Li‐Hsin Cheng, Xiaowu Sun, Rob J. van der Geest
Lecture notes in computer science (2022), pp. 340-349
Closed Access | Times Cited: 5
Memory-Throughput Trade-off for CNN-Based Applications at the Edge
Svetlana Minakova, Todor Stefanov
ACM Transactions on Design Automation of Electronic Systems (2022) Vol. 28, Iss. 1, pp. 1-26
Open Access | Times Cited: 4
Exploring Multi-Loss Learning for Multi-View Fine-Grained Vehicle Classification
Bruno Silva, Francisco Rodolfo Barbosa-Anda, Jorge Batista
Journal of Intelligent & Robotic Systems (2022) Vol. 105, Iss. 2
Closed Access | Times Cited: 4
Multi-Model Attention Fusion Multilayer Perceptron Prediction Method for Subway OD Passenger Flow under COVID-19
Yi Cao, Xue Li
Sustainability (2022) Vol. 14, Iss. 21, pp. 14420-14420
Open Access | Times Cited: 4
CALM: An Enhanced Encoding and Confidence Evaluating Framework for Trustworthy Multi-view Learning
Hai Zhou, Zhe Xue, Ying Liu, et al.
(2023), pp. 3108-3116
Closed Access | Times Cited: 2
Machine Learning Meets Traditional Statistical Methods in Psychology: Challenges and Future Directions
Rosa Lavelle-Hill, Gavin Smith, Kou Murayama
(2023)
Open Access | Times Cited: 2
Multi-View Fine-Grained Vehicle Classification with Multi-Loss Learning
Bruno Silva, Francisco Rodolfo Barbosa-Anda, Jorge Batista
(2021), pp. 209-214
Closed Access | Times Cited: 5

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