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:

Deep Neural Networks for Object Detection
Jiahao You
Highlights in Science Engineering and Technology (2022) Vol. 17, pp. 159-165
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016) Vol. 39, Iss. 6, pp. 1137-1149
Open Access | Times Cited: 44209

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2015) Vol. 37, Iss. 9, pp. 1904-1916
Open Access | Times Cited: 9473

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2015) Vol. 38, Iss. 1, pp. 142-158
Open Access | Times Cited: 2517

Deep Fuzzy Hashing Network for Efficient Image Retrieval
Huimin Lu, Ming Zhang, Xing Xu, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 1, pp. 166-176
Closed Access | Times Cited: 308

Deep Human Parsing with Active Template Regression
Xiaodan Liang, Si Liu, Xiaohui Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2015) Vol. 37, Iss. 12, pp. 2402-2414
Open Access | Times Cited: 307

Sustainable Advanced Techniques for Enhancing the Image Process
Pranjit Das, P. S. Ramapraba, K. Seethalakshmi, et al.
Practice, progress, and proficiency in sustainability (2024), pp. 350-374
Closed Access | Times Cited: 15

Hierarchical and Networked Vehicle Surveillance in ITS: A Survey
Bin Tian, Brendan Morris, Ming Tang, et al.
IEEE Transactions on Intelligent Transportation Systems (2016) Vol. 18, Iss. 1, pp. 25-48
Closed Access | Times Cited: 145

Hierarchical and Networked Vehicle Surveillance in ITS: A Survey
Bin Tian, Brendan Morris, Ming Tang, et al.
IEEE Transactions on Intelligent Transportation Systems (2014) Vol. 16, Iss. 2, pp. 557-580
Closed Access | Times Cited: 113

A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis
Mubashir Ahmad, Syed Furqan Qadri, Salman Qadri, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 50

Automated anatomical landmark detection ondistal femur surface using convolutional neural network
Dong Yang, Shaoting Zhang, Zhennan Yan, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2015), pp. 17-21
Closed Access | Times Cited: 86

Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System
Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 4271-4281
Open Access | Times Cited: 55

Semantic Image Segmentation with Contextual Hierarchical Models
Mojtaba Seyedhosseini, Tolga Taşdizen
IEEE Transactions on Pattern Analysis and Machine Intelligence (2015) Vol. 38, Iss. 5, pp. 951-964
Open Access | Times Cited: 55

Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals
Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, et al.
IEEE Transactions on Multimedia (2016) Vol. 19, Iss. 2, pp. 393-407
Open Access | Times Cited: 49

Rethinking Attentive Object Detection via Neural Attention Learning
Chongjian Ge, Yibing Song, Chao Ma, et al.
IEEE Transactions on Image Processing (2023) Vol. 33, pp. 1726-1739
Closed Access | Times Cited: 12

A Framework to Estimate the Key Point Within an Object Based on a Deep Learning Object Detection
Wattanapong Kurdthongmee, Korakot Suwannarat, Chirawat Wattanapanich
HighTech and Innovation Journal (2023) Vol. 4, Iss. 1, pp. 106-121
Open Access | Times Cited: 12

Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS—The Heart Sounds Shenzhen Corpus
Fengquan Dong, Kun Qian, Zhao Ren, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 7, pp. 2082-2092
Open Access | Times Cited: 39

Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review
Kun Qian, Christoph Janott, Maximilian Schmitt, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 4, pp. 1233-1246
Open Access | Times Cited: 32

Segmentation-Less and Non-Holistic Deep-Learning Frameworks for Iris Recognition
Hugo Proença, João C. Neves
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2019), pp. 2296-2305
Closed Access | Times Cited: 23

An Improved Deep Learning Framework for Automated Optic Disc Localization and Glaucoma Detection
Hela Elmannai, Monia Hamdi, Souham Meshoul, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 2, pp. 1429-1457
Open Access | Times Cited: 1

Assistive Object Recognition System for Visually Impaired
Shifa Shaikh
International Journal of Engineering Research and (2020) Vol. V9, Iss. 09
Open Access | Times Cited: 10

Intelligent Detection of Object's Anomalies for Road Surveilance Cameras
Alisa Makhmutova, Rifkat Minnikhanov, Maria Dagaeva, et al.
2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) (2019), pp. 0762-0767
Closed Access | Times Cited: 8

Knowledge Discovery from Recommender Systems using Deep Learning
Jabeen Sultana, M. Usha Rani, M.A.H. Farquad
2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) (2019), pp. 1074-1078
Closed Access | Times Cited: 8

Using Algebra of Hyper-Dimensional Vectors for Heuristic Representation of Data While Training Wide Neural Networks
Dmitry V. Pashchenko, Dmitry A. Trokoz, А. И. Мартышкин, et al.
(2019), pp. 168-171
Closed Access | Times Cited: 6

Smart City Management System using IoT with Deep Learning
Shubham Jain, Aman Jatain, Shalini Bhaskar
(2019), pp. 1214-1222
Closed Access | Times Cited: 6

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