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 high-performance voting-based ensemble model of graph convolutional extreme learning machines for identifying geochemical anomalies related to mineralization
Jiaxing Chen, Yongliang Chen
Ore Geology Reviews (2023) Vol. 162, pp. 105706-105706
Open Access | Times Cited: 8
Jiaxing Chen, Yongliang Chen
Ore Geology Reviews (2023) Vol. 162, pp. 105706-105706
Open Access | Times Cited: 8
Showing 8 citing articles:
A deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection
Zeinab Soltani, Hossein Hassani, Saeid Esmaeiloghli
Computers & Geosciences (2024) Vol. 190, pp. 105657-105657
Closed Access | Times Cited: 9
Zeinab Soltani, Hossein Hassani, Saeid Esmaeiloghli
Computers & Geosciences (2024) Vol. 190, pp. 105657-105657
Closed Access | Times Cited: 9
Unsupervised detection of multivariate geochemical anomalies using a high-performance deep autoencoder Gaussian mixture model
Xuemei Wang, Yongliang Chen
Journal of Geochemical Exploration (2025), pp. 107671-107671
Closed Access | Times Cited: 1
Xuemei Wang, Yongliang Chen
Journal of Geochemical Exploration (2025), pp. 107671-107671
Closed Access | Times Cited: 1
A SMOTified-GAN-augmented bagging ensemble model of extreme learning machines for detecting geochemical anomalies associated with mineralization
Min Guo, Yongliang Chen
Geochemistry (2024), pp. 126156-126156
Closed Access | Times Cited: 5
Min Guo, Yongliang Chen
Geochemistry (2024), pp. 126156-126156
Closed Access | Times Cited: 5
A high-performance extreme gradient boosting outlier detection framework for integrating the outputs of diverse anomaly detectors for detecting mineralization-related geochemical anomalies
Sheng He, Yongliang Chen
Journal of Geochemical Exploration (2025), pp. 107741-107741
Closed Access
Sheng He, Yongliang Chen
Journal of Geochemical Exploration (2025), pp. 107741-107741
Closed Access
Spatial-Spectrum Two-Branch Model Based on a Superpixel Graph Convolutional Network and 1DCNN for Geochemical Anomaly Identification
Ying Xu, Renguang Zuo
Mathematical Geosciences (2024) Vol. 57, Iss. 2, pp. 307-331
Closed Access | Times Cited: 3
Ying Xu, Renguang Zuo
Mathematical Geosciences (2024) Vol. 57, Iss. 2, pp. 307-331
Closed Access | Times Cited: 3
Combining categorical boosting and Shapley additive explanations for building an interpretable ensemble classifier for identifying mineralization-related geochemical anomalies
Yongliang Chen, Bowen Chen, Alina Shayilan
Ore Geology Reviews (2024), pp. 106263-106263
Open Access | Times Cited: 3
Yongliang Chen, Bowen Chen, Alina Shayilan
Ore Geology Reviews (2024), pp. 106263-106263
Open Access | Times Cited: 3
Mineral prospectivity prediction based on convolutional neural network and ensemble learning
Hujun He, Haolei Zhu, Xingke Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Hujun He, Haolei Zhu, Xingke Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Research on Building Community Education Platform Based on Data Mining Technology
Xu Chen, Caijie Cao
Learning and analytics in intelligent systems (2024), pp. 398-406
Closed Access | Times Cited: 1
Xu Chen, Caijie Cao
Learning and analytics in intelligent systems (2024), pp. 398-406
Closed Access | Times Cited: 1
