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:

Car detection and damage segmentation in the real scene using a deep learning approach
Mahboub Parhizkar, Majid Amirfakhrian
International Journal of Intelligent Robotics and Applications (2022) Vol. 6, Iss. 2, pp. 231-245
Closed Access | Times Cited: 9

Showing 9 citing articles:

Recognizing the Damaged Surface Parts of Cars in the Real Scene Using a Deep Learning Framework
Mahboub Parhizkar, Majid Amirfakhrian
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 10

MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance Segmentation
Teerapong Panboonyuen, Naphat Nithisopa, Panin Pienroj, et al.
Lecture notes in computer science (2024), pp. 28-38
Closed Access | Times Cited: 1

Dynamic management network system of automobile detection applying edge computing
Xianhong Cao
International Journal of Network Management (2023)
Open Access | Times Cited: 1

Lightweight CNN based on Spatial Features for a Vehicular Damage Detection System
Dawid Połap, Antoni Jaszcz, Katarzyna Prokop, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 5097-5101
Closed Access | Times Cited: 1

Object tracking in infrared images using a deep learning model and a target-attention mechanism
Mahboub Parhizkar, Gholamreza Karamali, Bahram Abedi Ravan
Complex & Intelligent Systems (2022) Vol. 9, Iss. 2, pp. 1495-1506
Open Access | Times Cited: 1

CPW-DICE: a novel center and pixel-based weighting for damage segmentation
Yunus Abdi, Ömer Küllü, Mehmet Kıvılcım Keleş, et al.
Connection Science (2023) Vol. 35, Iss. 1
Open Access

CDA-Net: Computer Vision based Automatic Car Damage Analysis
K. Iyshwarya Ratthi, Yogameena Balasubramanian, Saravana Perumaal Subramanian, et al.
(2023), pp. 1-7
Closed Access

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