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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:

Self-adaptive SOM-CNN neural system for dynamic object detection in normal and complex scenarios
Juan A. Ramírez-Quintana, Mario I. Chacón-Murguía
Pattern Recognition (2014) Vol. 48, Iss. 4, pp. 1137-1149
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

A survey on deep learning and its applications
Shi Dong, Ping Wang, Khushnood Abbas
Computer Science Review (2021) Vol. 40, pp. 100379-100379
Closed Access | Times Cited: 1027
Deep neural network concepts for background subtraction:A systematic review and comparative evaluation
Thierry Bouwmans, Sajid Javed, M. Sultana, et al.
Neural Networks (2019) Vol. 117, pp. 8-66
Open Access | Times Cited: 354
Scene background initialization: A taxonomy
Thierry Bouwmans, Lucia Maddalena, Alfredo Petrosino
Pattern Recognition Letters (2017) Vol. 96, pp. 3-11
Closed Access | Times Cited: 97
Graph Moving Object Segmentation
Jhony H. Giraldo, Sajid Javed, Thierry Bouwmans
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020), pp. 1-1
Closed Access | Times Cited: 80
Automated detection of helmet on motorcyclists from traffic surveillance videos: a comparative analysis using hand-crafted features and CNN
Linu Shine, C. V. Jiji
Multimedia Tools and Applications (2020) Vol. 79, Iss. 19-20, pp. 14179-14199
Closed Access | Times Cited: 57
Background subtraction for moving object detection: explorations of recent developments and challenges
Rudrika Kalsotra, Sakshi Arora
The Visual Computer (2021) Vol. 38, Iss. 12, pp. 4151-4178
Closed Access | Times Cited: 53
Background estimation by weightless neural networks
Massimo De Gregorio, Maurizio Giordano
Pattern Recognition Letters (2017) Vol. 96, pp. 55-65
Closed Access | Times Cited: 51
Towards combining Self-Organizing Maps (SOM) and Convolutional Neural Network (CNN) for improving model accuracy: Application to Malaria Vectors Phenotypic Resistance
Komi Agboka, Elfatih M. Abdel‐Rahman, Daisy Salifu, et al.
MethodsX (2025), pp. 103198-103198
Open Access
A Robust Approach for the Background Subtraction Based on Multi-Layered Self-Organizing Maps
Giorgio Gemignani, Alessandro Rozza
IEEE Transactions on Image Processing (2016) Vol. 25, Iss. 11, pp. 5239-5251
Closed Access | Times Cited: 39
Intelligent Pneumonia Identification from Chest X-Rays: A Systematic Literature Review
Wasif Khan, Nazar Zaki, Luqman Ali
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 25
Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update
Graciela Ramírez-Alonso, Juan A. Ramírez-Quintana, Mario I. Chacón-Murguía
Pattern Recognition Letters (2017) Vol. 96, pp. 34-44
Closed Access | Times Cited: 26
Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features
Yao Wang, Zujun Yu, Liqiang Zhu
Sensors (2018) Vol. 18, Iss. 12, pp. 4269-4269
Open Access | Times Cited: 21
Real Time Automatic Detection of Motorcyclists With and Without a Safety Helmet
Valanukonda Lakshmi Padmini, G. Krishna Kishore, Ponnuru Durgamalleswarao, et al.
2020 International Conference on Smart Electronics and Communication (ICOSEC) (2020), pp. 1251-1256
Closed Access | Times Cited: 20
DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects
Abimael Guzman‐Pando, Mario I. Chacón-Murguía
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 7090-7100
Closed Access | Times Cited: 17
Competition convolutional neural network for sleep stage classification
Junming Zhang, Yan Wu
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102318-102318
Closed Access | Times Cited: 17
Hierarchical Improvement of Foreground Segmentation Masks in Background Subtraction
Diego Ortego, Juan C. SanMiguel, José M. Martínez
IEEE Transactions on Circuits and Systems for Video Technology (2018) Vol. 29, Iss. 6, pp. 1645-1658
Open Access | Times Cited: 17
PeopleNet: A Novel People Counting Framework for Head-Mounted Moving Camera Videos
Tomar Ankit, Kumar Santosh, Pant Bhasker
International Journal of Interactive Multimedia and Artificial Intelligence (2023) Vol. 8, Iss. 6, pp. 61-61
Open Access | Times Cited: 4
Research and application of local perceptron neural network in highway rectifier for time series forecasting
Yunxuan Dong, Jianzhou Wang, Zhenhai Guo
Applied Soft Computing (2017) Vol. 64, pp. 656-673
Closed Access | Times Cited: 10
Moving Objects Detection with a Moving Camera: A Comprehensive Review
Marie-Neige Chapel, Thierry Bouwmans
(2020)
Closed Access | Times Cited: 8
Assistant Diagnosis of Basal Cell Carcinoma and Seborrheic Keratosis in Chinese Population Using Convolutional Neural Network
Kai Huang, Xiaoyu He, Zhentao Jin, et al.
Journal of Healthcare Engineering (2020) Vol. 2020, pp. 1-8
Open Access | Times Cited: 8
Automatic Diagnosis of Pneumothorax From Chest Radiographs: A Systematic Literature Review
Tahira Iqbal, Arslan Shaukat, Muhammad Usman Akram, et al.
IEEE Access (2021) Vol. 9, pp. 145817-145839
Open Access | Times Cited: 8
Video Foreground Detection in Non-static Background Using Multi-dimensional Color Space
Thangarajah Akilan, Q. M. Jonathan Wu, Ashutosh Kumar Singh, et al.
Procedia Computer Science (2015) Vol. 70, pp. 55-61
Open Access | Times Cited: 7
Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset
Mario I. Chacón-Murguía, Juan A. Ramírez-Quintana, Graciela Ramírez-Alonso
(2016), pp. 137-142
Closed Access | Times Cited: 7
A fast X-shaped foreground segmentation network with CompactASPP
Jin Zhang, Shuaihui Wang, Junyang Qiu, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 97, pp. 104077-104077
Closed Access | Times Cited: 7
Stand-alone quality estimation of background subtraction algorithms
Diego Ortego, Juan C. SanMiguel, José M. Martínez
Computer Vision and Image Understanding (2017) Vol. 162, pp. 87-102
Closed Access | Times Cited: 6
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