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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:

Anomaly detection of defect using energy of point pattern features within random finite set framework
Ammar Mansoor Kamoona, Amirali K. Gostar, Xiaoying Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107706-107706
Open Access | Times Cited: 13

Showing 13 citing articles:

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Guoyang Xie, Jinbao Wang, Jiaqi Liu, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 5, pp. 2720-2733
Open Access | Times Cited: 28
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
Yajie Cui, Zhaoxiang Liu, Shiguo Lian
IEEE Access (2023) Vol. 11, pp. 55297-55315
Open Access | Times Cited: 35
Enhanced Deep Stacked CapsNet Ensemble Gazelle Neural Network for multi‐level fabric defect classification
Hattarki Pooja, Shridevi Soma
Coloration Technology (2025)
Closed Access
Integrating AI in Food Contaminant Analysis: Enhancing Quality and Environmental Protection
Kuppusamy Sathishkumar, Meivelu Moovendhan‬‬‬‬‬‬‬‬, Loganathan Praburaman, et al.
Journal of Hazardous Materials Advances (2024), pp. 100509-100509
Open Access | Times Cited: 3
Two-stage coarse-to-fine image anomaly segmentation and detection model
Rizwan Ali Shah, Odilbek Urmonov, HyungWon Kim
Image and Vision Computing (2023) Vol. 139, pp. 104817-104817
Closed Access | Times Cited: 7
Discriminative Feature Learning Framework With Gradient Preference for Anomaly Detection
Muhao Xu, Xueying Zhou, Xizhan Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-10
Open Access | Times Cited: 5
Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning
Miguel Campos-Romero, Manuel Carranza-García, José C. Riquelme
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109088-109088
Open Access
NN2ViT: Neural Networks and Vision Transformers based approach for Visual Anomaly Detection in Industrial Images
Junaid Abdul Wahid, Muhammad Ayoub, Mingliang Xu, et al.
Neurocomputing (2024) Vol. 615, pp. 128845-128845
Open Access
AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models
Mehmet Emin Aydın, Prabal Datta Barua, Sreenivasulu Chadalavada, et al.
Multimedia Tools and Applications (2024)
Open Access
Structural Image Anomaly Detection Based on Multi-scale Masking Feature Reconstruction
Qi Ren, Qing Xia, Xiaowei Dong, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Two-Stage Coarse-to-Fine Image Anomaly Segmentation and Detection Model
Rizwan Ali Shah, Odilbek Urmonov
(2023)
Closed Access
Structural Image Anomaly Detection Method Based on Multi-scale Masking Feature Reconstruction
Qi Ren, Tian Yun, Qing Xia, et al.
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) (2023), pp. 711-718
Closed Access
Improved Anomaly Detection based on Loss Prediction
Wenkang Zhang, Fengqian Pang
2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE) (2022), pp. 15-19
Closed Access
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