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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:

Using SHAP Values and Machine Learning to Understand Trends in the Transient Stability Limit
R. I. Hamilton, Panagiotis N. Papadopoulos
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 1384-1397
Open Access | Times Cited: 38

Showing 26-50 of 38 citing articles:

Anxiety in young people: Analysis from a machine learning model
Marcela Tabares Tabares, Consuelo Vélez Álvarez, Joshua Bernal Salcedo, et al.
Acta Psychologica (2024) Vol. 248, pp. 104410-104410
Open Access | Times Cited: 1
Machine learning aids in detrapping of V2O5 electrochromic materials from ion-traps
Yixin Song, Linhua Yuan, Houshan Mei
Physica Scripta (2024) Vol. 99, Iss. 9, pp. 096010-096010
Closed Access | Times Cited: 1
Investigation on clinical risk factors of bladder lesion by machine learning based interpretable model
Yunxin Wang, Jun Li, Yunfeng Song, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Anxiety in Young People: Analysis from a Machine Learning Model
Marcela Tabares Tabares, Consuelo Vélez Álvarez, Joshua Bernal Salcedo, et al.
(2024)
Closed Access
Interpretable Artificial Intelligence Evolved Policies Applied in Renewable Energy Trading
Konstantinos Parginos, Ricardo J. Bessa, Simon Camal, et al.
(2024)
Closed Access
A SMOTE and XGboost Based Method for Power System Transient Stability Assessment
Yanzhen Pang, Feng Li, Siyang Ke, et al.
(2024), pp. 414-419
Closed Access
Prediction and Optimization of Sintering Flue Gas Temperature Based on Interpretable Machine Learning
Mingyu Wang, Jue Tang, Mansheng Chu, et al.
(2024)
Closed Access
Design of bacterial DNT sensors based on computational models
Shir Bahiri Elitzur, Etai Shpigel, Itai Katzir, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Research on Insulator Pollution Degree Prediction and Interpretability Based on an Inherited Ensemble Learning Model
Longyu Chen, Li Zhang, Xianfeng Wang, et al.
(2024), pp. 260-264
Closed Access
Entendendo os Fatores de Previsão do TDI nas Escolas Públicas Brasileiras: Uma Abordagem Usando a Técnica SHAP
Abílio Nogueira Barros, Gabriel Alves, Rafael Ferreira Mello
(2024), pp. 1529-1542
Closed Access
Efficient breast cancer detection using neural networks and explainable artificial intelligence
Tamilarasi Kathirvel Murugan, P. Karthikeyan, Pavithra Sekar
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3759-3776
Closed Access
Prediction and optimization of flue pressure in sintering process based on SHAP
Mingyu Wang, Jue Tang, Mansheng Chu, et al.
International Journal of Minerals Metallurgy and Materials (2024) Vol. 32, Iss. 2, pp. 346-359
Closed Access
Hybilstm: Multivariate Bitcoin Price Forecasting Using Hybrid Time Series Models with Bidirectional Lstm
Anny Mardjo, Chidchanok Choksuchat
(2023)
Closed Access
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