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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:

Potential of Hybrid CNN-RF Model for Early Crop Mapping with Limited Input Data
Geun-Ho Kwak, Chan‐Won Park, Kyung-do Lee, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1629-1629
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Plant image recognition with deep learning: A review
Huiling Chen, Yiqi Huang, Zizhao Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108072-108072
Closed Access | Times Cited: 53
A Review of CNN Applications in Smart Agriculture Using Multimodal Data
Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaâri, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 472-472
Open Access | Times Cited: 5
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions
Jingbo Li, Changchun Li, Weimeng Xu, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102818-102818
Open Access | Times Cited: 47
Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles
Hankui K. Zhang, David P. Roy, Dong Luo
Remote Sensing of Environment (2023) Vol. 295, pp. 113653-113653
Open Access | Times Cited: 28
Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model
Xin Xiao, Wenting Ming, Xuan Luo, et al.
Agricultural Water Management (2024) Vol. 293, pp. 108692-108692
Open Access | Times Cited: 15
A Hybrid Convolutional Neural Network and Support Vector Machine‐Based Credit Card Fraud Detection Model
Tesfahun Berhane, Tamiru Melese, Assaye Walelign, et al.
Mathematical Problems in Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 21
Crop classification in South Korea for multitemporal PlanetScope imagery using SFC-DenseNet-AM
Seonkyeong Seong, Anjin Chang, Junsang Mo, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 126, pp. 103619-103619
Open Access | Times Cited: 8
ICESat-2 and Multispectral Images Based Coral Reefs Geomorphic Zone Mapping Using a Deep Learning Approach
J. Zhong, Jie Sun, Zulong Lai
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 6085-6098
Open Access | Times Cited: 7
Unsupervised Domain Adaptation with Adversarial Self-Training for Crop Classification Using Remote Sensing Images
Geun-Ho Kwak, No-Wook Park
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4639-4639
Open Access | Times Cited: 23
PoreSeg: An unsupervised and interactive-based framework for automatic segmentation of X-ray tomography of porous materials
Mehdi Mahdaviara, Mohammad Sharifi, Yousef Rafiei
Advances in Water Resources (2023) Vol. 178, pp. 104495-104495
Closed Access | Times Cited: 15
Stacked spectral feature space patch: An advanced spectral representation for precise crop classification based on convolutional neural network
Hui Chen, Yuean Qiu, Dameng Yin, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1460-1469
Open Access | Times Cited: 22
Early identification of crop types using Sentinel-2 satellite images and an incremental multi-feature ensemble method (Case study: Shahriar, Iran)
Amir Rahmati, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi
Advances in Space Research (2022) Vol. 70, Iss. 4, pp. 907-922
Closed Access | Times Cited: 21
Geospatial Artificial Intelligence (GeoAI) and Satellite Imagery Fusion for Soil Physical Property Predicting
Fatemeh Sadat Hosseini, Myoung Bae Seo, Seyed Vahid Razavi-Termeh, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14125-14125
Open Access | Times Cited: 11
Machine learning-based multimodal data fusion for the Swiss land use statistics
Adrian Meyer, Gillian Milani, Natalie Lack, et al.
European Journal of Remote Sensing (2025) Vol. 58, Iss. 1
Open Access
Citrus Leaf Disease Detection Using Hybrid CNN-RF Model
Heena Kalim, Anuradha Chug, Amit Prakash Singh
(2022), pp. 1-4
Closed Access | Times Cited: 15
A Hybrid Feature Extraction and Classification using Xception-RF for Multiclass Disease Classification in Plant Leaves
A Abisha, N. Bharathi
Applied Artificial Intelligence (2023) Vol. 37, Iss. 1
Open Access | Times Cited: 9
Assessing the Potential of Multi-Temporal Conditional Generative Adversarial Networks in SAR-to-Optical Image Translation for Early-Stage Crop Monitoring
Geun-Ho Kwak, No-Wook Park
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1199-1199
Open Access | Times Cited: 3
Temporal Community Detection and Analysis with Network Embeddings
Limengzi Yuan, Xuanming Zhang, Yuxian Ke, et al.
Mathematics (2025) Vol. 13, Iss. 5, pp. 698-698
Open Access
Crop-Planting Area Prediction from Multi-Source Gaofen Satellite Images Using a Novel Deep Learning Model: A Case Study of Yangling District
Xiaofei Kuang, Jiao Guo, Jingyuan Bai, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3792-3792
Open Access | Times Cited: 8
Machine learning for food security: current status, challenges, and future perspectives
Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
Artificial Intelligence Review (2023) Vol. 56, Iss. S3, pp. 3853-3876
Open Access | Times Cited: 8
Geospatial Evaluation of Cropping Pattern and Cropping Intensity Using Multi Temporal Harmonized Product of Sentinel-2 Dataset on Google Earth Engine
Sonia Sonia, Tathagata Ghosh, Amel Gacem, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12583-12583
Open Access | Times Cited: 10
Deep Learning-Based Virtual Optical Image Generation and Its Application to Early Crop Mapping
No-Wook Park, Min-Gyu Park, Geun-Ho Kwak, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1766-1766
Open Access | Times Cited: 4
ResNet101-SVM: Hybrid convolutional neural network for citrus fruits classification
Santi Kumari Behera, K Anitha, Rajat Amat, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 3, pp. 7035-7045
Closed Access | Times Cited: 1
Modified Xception-RF: A biotic stress prediction model in plant leaves using feature extraction and classification
A Abisha, N. Bharathi
Multimedia Tools and Applications (2024) Vol. 83, Iss. 12, pp. 34199-34218
Closed Access | Times Cited: 1
A State Monitoring Algorithm for Data Missing Scenarios via Convolutional Neural Network and Random Forest
Yuntao Xu, Kai Sun, Ying Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 137080-137088
Open Access | Times Cited: 1
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