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:
An approach based on Machine Learning Algorithms, Geostatistical Technique, and GIS analysis to estimate phosphate ore grade at the Abu Tartur Mine, Western Desert, Egypt
A. Kh. Embaby, Ashraf Ismael, Faisal Abdel Azaiz Ali, et al.
Mining of Mineral Deposits (2023) Vol. 17, Iss. 1, pp. 108-119
Open Access | Times Cited: 4
A. Kh. Embaby, Ashraf Ismael, Faisal Abdel Azaiz Ali, et al.
Mining of Mineral Deposits (2023) Vol. 17, Iss. 1, pp. 108-119
Open Access | Times Cited: 4
Showing 4 citing articles:
Geological and geostatistical analysis for equivalent uranium and thorium mineralization, Gattar-V Eastern Desert, Egypt
El‐Sayed Saber, Ashraf Ismael, A. Kh. Embaby, et al.
Mining of Mineral Deposits (2023) Vol. 17, Iss. 4, pp. 18-28
Open Access | Times Cited: 2
El‐Sayed Saber, Ashraf Ismael, A. Kh. Embaby, et al.
Mining of Mineral Deposits (2023) Vol. 17, Iss. 4, pp. 18-28
Open Access | Times Cited: 2
A Systematic Review of Artificial Intelligence in Geographic Information Systems
Son Nguyen-Kim, Vinh T. Nguyen, Duc-Binh Nguyen
Lecture notes in networks and systems (2023), pp. 20-31
Closed Access | Times Cited: 1
Son Nguyen-Kim, Vinh T. Nguyen, Duc-Binh Nguyen
Lecture notes in networks and systems (2023), pp. 20-31
Closed Access | Times Cited: 1
The Perspective of Using Neural Networks and Machine Learning Algorithms for Modelling and Forecasting the Quality Parameters of Coking Coal - a Case Study
Artur Dyczko
(2024)
Closed Access
Artur Dyczko
(2024)
Closed Access
The Perspective of Using Neural Networks and Machine Learning Algorithms for Modelling and Forecasting the Quality Parameters of Coking Coal—A Case Study
Artur Dyczko
Geosciences (2024) Vol. 14, Iss. 8, pp. 199-199
Open Access
Artur Dyczko
Geosciences (2024) Vol. 14, Iss. 8, pp. 199-199
Open Access
