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:

Classifying the toxicity of pesticides to honey bees via support vector machines with random walk graph kernels
Ping Yang, E. Adrian Henle, Xiaoli Z. Fern, et al.
The Journal of Chemical Physics (2022) Vol. 157, Iss. 3
Open Access | Times Cited: 6

Showing 6 citing articles:

Advancing Computational Toxicology by Interpretable Machine Learning
Xuelian Jia, Tong Wang, Hao Zhu
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17690-17706
Open Access | Times Cited: 50

Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules
Zikai Xie, Xenophon Evangelopoulos, Ömer H. Omar, et al.
Chemical Science (2023) Vol. 15, Iss. 2, pp. 500-510
Open Access | Times Cited: 19

A global biological conservation horizon scan of issues for 2023
William J. Sutherland, Craig Bennett, Peter N. M. Brotherton, et al.
Trends in Ecology & Evolution (2022) Vol. 38, Iss. 1, pp. 96-107
Open Access | Times Cited: 25

Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives
Maria Vittoria Togo, Fabrizio Mastrolorito, Angelica Orfino, et al.
Expert Opinion on Drug Metabolism & Toxicology (2023) Vol. 20, Iss. 7, pp. 561-577
Closed Access | Times Cited: 10

Advancing ecotoxicity assessment: Leveraging pre-trained model for bee toxicity and compound degradability prediction
Xinkang Li, Feng Zhang, Liangzhen Zheng, et al.
Journal of Hazardous Materials (2024) Vol. 475, pp. 134828-134828
Closed Access | Times Cited: 1

Chemical design by artificial intelligence
Daniel H. Ess, Kim E. Jelfs, Heather J. Kulik
The Journal of Chemical Physics (2022) Vol. 157, Iss. 12
Open Access | Times Cited: 6

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