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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:

Intelligent High-Resolution Geological Mapping Based on SLIC-CNN
Xuejia Sang, Linfu Xue, Xiangjin Ran, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 2, pp. 99-99
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A review of machine learning in processing remote sensing data for mineral exploration
Hojat Shirmard, Ehsan Farahbakhsh, R. Dietmar Müller, et al.
Remote Sensing of Environment (2021) Vol. 268, pp. 112750-112750
Open Access | Times Cited: 242
Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing
Kejie Xu, Hong Huang, Peifang Deng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 10, pp. 5751-5765
Closed Access | Times Cited: 139
A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Wei Han, Xiaohan Zhang, Yi Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 87-113
Closed Access | Times Cited: 119
A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data
Hojat Shirmard, Ehsan Farahbakhsh, Elnaz Heidari, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 819-819
Open Access | Times Cited: 65
Geological Remote Sensing Interpretation Using Deep Learning Feature and an Adaptive Multisource Data Fusion Network
Wei Han, Jun Li, Sheng Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Closed Access | Times Cited: 54
State-of-the-Art in 1D Convolutional Neural Networks: A Survey
Ayokunle Olalekan Ige, Malusi Sibiya
IEEE Access (2024) Vol. 12, pp. 144082-144105
Open Access | Times Cited: 16
Remote sensing image interpretation of geological lithology via a sensitive feature self-aggregation deep fusion network
康利 千賀, Jie Dong, Haozheng Ma, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 137, pp. 104384-104384
Open Access | Times Cited: 1
Effective delineation of rare metal-bearing granites from remote sensing data using machine learning methods: A case study from the Umm Naggat Area, Central Eastern Desert, Egypt
Mohamed Abdelkader, Yasushi Watanabe, Ali Shebl, et al.
Ore Geology Reviews (2022) Vol. 150, pp. 105184-105184
Open Access | Times Cited: 37
An Overview of Coastline Extraction from Remote Sensing Data
Xixuan Zhou, Jinyu Wang, Fengjie Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4865-4865
Open Access | Times Cited: 21
A Survey on Applications of Unmanned Aerial Vehicles Using Machine Learning
Karolayne Teixeira, Geovane Miguel, Hugerles S. Silva, et al.
IEEE Access (2023) Vol. 11, pp. 117582-117621
Open Access | Times Cited: 19
CNN-Transformers for mineral prospectivity mapping in the Maodeng–Baiyinchagan area, Southern Great Xing'an Range
Cheng Li, Keyan Xiao, Li Sun, et al.
Ore Geology Reviews (2024) Vol. 167, pp. 106007-106007
Open Access | Times Cited: 7
A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications
Hamid Ghanbari, Masoud Mahdianpari, Saeid Homayouni, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 3602-3613
Open Access | Times Cited: 41
Application of Satellite Remote Sensing, UAV-Geological Mapping, and Machine Learning Methods in the Exploration of Podiform Chromite Deposits
Amir Eskandari, Mohsen Hosseini, Eugenio Nicotra
Minerals (2023) Vol. 13, Iss. 2, pp. 251-251
Open Access | Times Cited: 16
Identification of tight sandstone reservoir lithofacies based on CNN image recognition technology: A case study of Fuyu reservoir of Sanzhao Sag in Songliao Basin
Fang Liu, Xin Wang, Zongbao Liu, et al.
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211459-211459
Closed Access | Times Cited: 12
Mineral Prospectivity Mapping in Xiahe-Hezuo Area Based on Wasserstein Generative Adversarial Network with Gradient Penalty
Jiansheng Gong, Yunhe Li, Miao Xie, et al.
Minerals (2025) Vol. 15, Iss. 2, pp. 184-184
Open Access
RSWFormer: A Multi-Scale Fusion Network from Local to Global with Multiple Stages for Regional Geological Mapping
Sipeng Han, Zhipeng Wan, Junfeng Deng, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2548-2548
Open Access | Times Cited: 3
Using edge detection techniques and machine learning classifications for accurate lithological discrimination and structure lineaments extraction: a comparative case study from Gattar area, Northern Eastern Desert of Egypt
Reda A. El-Arafy, Mahinaz M. Shawky, Nasser M. Mahdy, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 11
Closed Access | Times Cited: 6
Dual-model Collaboration Consistency Semi-Supervised Learning for Few-shot Lithology Interpretation
Wei Han, Zhongliang Fu, S. Y. Xiao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 2
CNN2D-SENet-Based Prospecting Prediction Method: A Case Study from the Cu Deposits in the Zhunuo Mineral Concentrate Area in Tibet
Ke Ding, Linfu Xue, Xiangjin Ran, et al.
Minerals (2023) Vol. 13, Iss. 6, pp. 730-730
Open Access | Times Cited: 5
Research on Mosaic Method of UAV Low-altitude Remote Sensing Image based on SIFT and SURF
Hang Zhu, Yu Jiang, Cui Zhang, et al.
Journal of Physics Conference Series (2022) Vol. 2203, Iss. 1, pp. 012027-012027
Open Access | Times Cited: 9
3D Mineral Prospectivity Mapping of Zaozigou Gold Deposit, West Qinling, China: Deep Learning-Based Mineral Prediction
Zhengbo Yu, Bingli Liu, Miao Xie, et al.
Minerals (2022) Vol. 12, Iss. 11, pp. 1382-1382
Open Access | Times Cited: 9
Design and Implementation of an Automatic Deep Stacked Sparsely Connected Auto-encoder (ADSSCA) Neural Network Architecture for Lithological Mapping under thick Vegetation using Remote Sensing
Charlie Gael Atangana Otele, Mathias Akong Onabid, Patrick Stephane Assembe
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
Harnessing the Power of Artificial Intelligence and Machine Learning in Mineral Exploration—Opportunities and Cautionary Notes
Jon Woodhead, Mathieu Landry
SEG Discovery (2021), Iss. 127, pp. 19-31
Closed Access | Times Cited: 10
Geological Remote Sensing: An Overview
Weitao Chen, Xianju Li, Xuwen Qin, et al.
(2024), pp. 1-14
Closed Access | Times Cited: 1
Geological remote sensing interpretation via a local-to-global sensitive feature fusion network
Sheng Wang, Xiaohui Huang, Wei Han, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 135, pp. 104258-104258
Open Access | Times Cited: 1
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