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:

A machine learning method for distinguishing detrital zircon provenance
Shihua Zhong, Yongjiang Liu, Sanzhong Li, et al.
Contributions to Mineralogy and Petrology (2023) Vol. 178, Iss. 6
Open Access | Times Cited: 21

Showing 21 citing articles:

Revisiting the discrimination and distribution of S-type granites from zircon trace element composition
Nick M.W. Roberts, Chris Yakymchuk, Christopher J. Spencer, et al.
Earth and Planetary Science Letters (2024) Vol. 633, pp. 118638-118638
Open Access | Times Cited: 20

Machine Learning in Petrology: State-of-the-Art and Future Perspectives
Maurizio Petrelli
Journal of Petrology (2024) Vol. 65, Iss. 5
Open Access | Times Cited: 11

Revisiting the Geochemical Classification of Zircon Source Rocks Using a Machine Learning Approach
Keita Itano, Hikaru Sawada
Mathematical Geosciences (2024) Vol. 56, Iss. 6, pp. 1139-1160
Open Access | Times Cited: 6

Discrimination of Pb-Zn deposit types using the trace element data of galena based on deep learning
Shuaibing Li, Zhixin Zhao, Teng-Feng Miao, et al.
Ore Geology Reviews (2024) Vol. 170, pp. 106133-106133
Open Access | Times Cited: 4

Rodinia supercontinent assembly in the southeastern North China Craton: Detrital zircon evidence from the late Ediacaran Fengtai Formation
Mingzhen Tan, Zhensheng Li, Zhongwu Lan, et al.
Precambrian Research (2025) Vol. 422, pp. 107775-107775
Closed Access

Improved trace element discrimination of kimberlitic and carbonatitic zircon: implications for zircon origin in kimberlite and the search for superdeep diamonds
Matthew F. Hardman, D. Graham Pearson, S. Andrew DuFrane, et al.
Mineralogy and Petrology (2025)
Closed Access

Continental evolution from detrital mineral petrochronology
Jacob A. Mulder, Peter A. Cawood
Elsevier eBooks (2024)
Closed Access | Times Cited: 2

Application of Machine Learning to Research on Trace Elemental Characteristics of Metal Sulfides in Se-Te Bearing Deposits
Xiaoxuan Zhang, Da Wang, Huchao Ma, et al.
Minerals (2024) Vol. 14, Iss. 6, pp. 538-538
Open Access | Times Cited: 2

The macroecology of Mesozoic dinosaurs
Alfio Alessandro Chiarenza
Biology Letters (2024) Vol. 20, Iss. 11
Open Access | Times Cited: 2

Zircon fertility indicators compromised by mineral inclusion contamination: A case study from the Taoxikeng W deposit, South China
Hong Zhao, Chengyou Feng, Shihua Zhong, et al.
Ore Geology Reviews (2023) Vol. 162, pp. 105714-105714
Open Access | Times Cited: 4

Ore genesis of the Laguhe Au deposit, West Qinling, China: Evidence from sulfide geochemistry and machine learning
Feifan Xu, Fan Yang, Emmanuel John M. Carranza, et al.
Ore Geology Reviews (2023) Vol. 163, pp. 105767-105767
Open Access | Times Cited: 4

Petrogenesis of early Paleozoic peraluminous A-type granites from southern China
Zhen-Tao Song, Biao Liu, Wentao Hong
International Geology Review (2024) Vol. 66, Iss. 15, pp. 2793-2818
Closed Access | Times Cited: 1

A new approach to dividing the tectonic setting of igneous rocks: machine learning and GeoTectAI software
Ming Lei, Wenyan Cai, Xiao Liu, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4183-4196
Closed Access | Times Cited: 1

Predicting source rock silica from igneous zircon characteristics
T.W. Scharf, Vladimir Puzyrev, Milo Barham, et al.
Earth and Planetary Science Letters (2024) Vol. 638, pp. 118745-118745
Open Access | Times Cited: 1

Machine Learning in Petrology: State-of-the-Art and Future Perspectives
Maurizio Petrelli
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 3

The discrimination of tectonic settings using trace elements in magmatic zircons: A machine learning approach
Luyuan Wang, Chao Zhang, Rui Geng, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 4097-4112
Open Access | Times Cited: 2

Machine Learning Applied to Apatite Compositions for Determining Mineralization Potential
Yuyu Zheng, Bo Xu, David R. Lentz, et al.
American Mineralogist (2023) Vol. 109, Iss. 8, pp. 1394-1405
Open Access | Times Cited: 2

Machine-learning oxybarometer developed using zircon trace-element chemistry and its applications
Shaohao Zou, Matthew J. Brzozowski, Xilian Chen, et al.
American Mineralogist (2023) Vol. 109, Iss. 7, pp. 1181-1192
Open Access | Times Cited: 2

A Machine Learning Zircon Trace Element Tool to Predict Porphyry Deposit Type and Resource Size
Zi‐Hao Wen, Bo Xu, Christopher L. Kirkland, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 4
Open Access

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