OpenAlex Citation Counts

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:

Research on the inverse vector hysteresis model with the deep learning parameter identification algorithm
Yangyang Ma, Yongjian Li, He Sun, et al.
Journal of Magnetism and Magnetic Materials (2022) Vol. 562, pp. 169839-169839
Closed Access | Times Cited: 6

Showing 6 citing articles:

Research on prediction of nanocrystalline alloy hysteresis properties based on long short-term memory network
Hailin Li, Bo Zhang, Yongpeng Shen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Neural Network Architectures and Magnetic Hysteresis: Overview and Comparisons
Silvia Licciardi, Guido Ala, Elisa Francomano, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3363-3363
Open Access | Times Cited: 1

Hysteresis characteristics prediction method of amorphous materials based on static Jiles-Atherton hysteresis model and Maxwell's equation
Jun’an Ji, Zhigang Zhao
Journal of Magnetism and Magnetic Materials (2023) Vol. 588, pp. 171460-171460
Closed Access | Times Cited: 2

Hysteresis Characteristics Prediction Method of Nanocrystalline and Amorphous Strips Considering Skin Effect and Nonsinusoidal Excitation
Jun’an Ji, Zhigang Zhao
IEEE Transactions on Power Electronics (2023) Vol. 39, Iss. 4, pp. 3891-3905
Closed Access | Times Cited: 1

Wave Propagation and Magnetic Ordering in Ferromagnetic Materials
Mostafa M. A. Khater, Peng Ren
Fractals (2022) Vol. 31, Iss. 10
Closed Access | Times Cited: 1

Hysteresis Characteristics Prediction Method of Amorphous Materials Based on Static Jiles-Atherton Hysteresis Model and Maxwell's Equation
Jun’an Ji, Zhigang Zhao
(2023)
Closed Access

Page 1

Cookie	Duration	Description
cookielawinfo-checkbox-advertisement	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category .
cookielawinfo-checkbox-analytics	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Analytics" category .
cookielawinfo-checkbox-functional	1 year	The cookie is set by the GDPR Cookie Consent plugin to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Necessary" category .
cookielawinfo-checkbox-others	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to store the user consent for cookies in the category "Others".
cookielawinfo-checkbox-performance	1 year	Set by the GDPR Cookie Consent plugin, this cookie is used to store the user consent for cookies in the category "Performance".
CookieLawInfoConsent	1 year	Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie.
PHPSESSID	session	This cookie is native to PHP applications. The cookie is used to store and identify a users' unique session ID for the purpose of managing user session on the website. The cookie is a session cookies and is deleted when all the browser windows are closed.

Requested Article:

Showing 6 citing articles:

Your Privacy