Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Detection of Corrosion-Indicating Oxidation Product Colors in Steel Bridges under Varying Illuminations, Shadows, and Wetting Conditions
Dayakar L. Naik, Hizb Ullah Sajid, Ravi Kiran, et al.
Metals (2020) Vol. 10, Iss. 11, pp. 1439-1439
Open Access | Times Cited: 14

Showing 14 citing articles:

Advanced multi-image segmentation-based machine learning modeling strategy for corrosion prediction and rust layer performance evaluation of weathering steel
Bingqin Wang, Liangan Liu, Xuequn Cheng, et al.
Corrosion Science (2024) Vol. 237, pp. 112334-112334
Closed Access | Times Cited: 12
Image-Based Corrosion Detection in Ancillary Structures
Amrita Das, Eberechi Ichi, Sattar Dorafshan
Infrastructures (2023) Vol. 8, Iss. 4, pp. 66-66
Open Access | Times Cited: 12
Atmospheric corrosion of iron under a single droplet: A new systematic multi-electrochemical approach
Ehsan Rahimi, Keer Zhang, Ali Kosari, et al.
Corrosion Science (2024) Vol. 235, pp. 112171-112171
Open Access | Times Cited: 5
A critical analysis of machine learning in ship, offshore, and oil & gas corrosion research, part I: Corrosion detection and classification
Muhammad Imran, Mohammad Ilyas Khan, Shahrizan Jamaludin, et al.
Ocean Engineering (2024) Vol. 313, pp. 119600-119600
Closed Access | Times Cited: 3
Feasibility study of Hyperspectral sensor in detecting the early-stage corrosion in structural steel
Amrita Das, Sattar Dorafshan
NDT & E International (2025), pp. 103399-103399
Closed Access
Autonomous Image-Based Corrosion Detection in Steel Structures Using Deep Learning
Amrita Das, Sattar Dorafshan, Naima Kaabouch
Sensors (2024) Vol. 24, Iss. 11, pp. 3630-3630
Open Access | Times Cited: 2
Hyperspectral imaging for the elimination of visual ambiguity in corrosion detection and identification of corrosion sources
Dayakar Naik Lavadiya, Hizb Ullah Sajid, Ravi K Yellavajjala, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 4, pp. 1678-1693
Closed Access | Times Cited: 14
Detection of corrosion on steel structures using an artificial neural network
Mojtaba Khayatazad, Matthias Honhon, Wim De Waele
Structure and Infrastructure Engineering (2022) Vol. 19, Iss. 12, pp. 1860-1871
Open Access | Times Cited: 8
Improving the wettability of structural steels by employing ionic liquids
Hizb Ullah Sajid, Ravi Kiran
Journal of Molecular Liquids (2020) Vol. 324, pp. 115137-115137
Closed Access | Times Cited: 11
Configuration of the Deep Neural Network Hyperparameters for the Hypsometric Modeling of the Guazuma crinita Mart. in the Peruvian Amazon
Gianmarco Goycochea Casas, Duberlí Geomar Elera Gonzáles, Juan Rodrigo Baselly Villanueva, et al.
Forests (2022) Vol. 13, Iss. 5, pp. 697-697
Open Access | Times Cited: 6
Hyperspectral Imaging Based Corrosion Detection in Nuclear Packages
Jaime Zabalza, Paul Murray, Stuart Bennett, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 21, pp. 25607-25617
Open Access | Times Cited: 3
Automated Detection of Rust Defects from 3D Point Cloud Data Through Machine Learning
Antonio Fernández, Cristina Pernas, Marcos X. Álvarez, et al.
Lecture notes in mechanical engineering (2024), pp. 32-43
Closed Access
Configuração de redes neurais artificiais para relação hipsométrica de árvores de Eucalyptus spp.
Jonas Elias Castro da Rocha, Marlon Roque Nogueira, Ivaldo da Silva Tavares Júnior, et al.
Scientia Forestalis (2021) Vol. 49, Iss. 132
Open Access | Times Cited: 2
Machine Learning Applied to Identify Corrosive Environmental Conditions
HsinYen Lee, Simon Gray, Yifan Zhao, et al.
Frontiers in Materials (2022) Vol. 9
Open Access | Times Cited: 1
Page 1

Scroll to top