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:

Smallholder Crop Type Mapping and Rotation Monitoring in Mountainous Areas with Sentinel-1/2 Imagery
Tingting Ren, Hongtao Xu, Xiumin Cai, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 566-566
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Automated soybean mapping based on canopy water content and chlorophyll content using Sentinel-2 images
Yingze Huang, Bingwen Qiu, Chongcheng Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 109, pp. 102801-102801
Open Access | Times Cited: 42

Machine Learning Classification of Fused Sentinel-1 and Sentinel-2 Image Data towards Mapping Fruit Plantations in Highly Heterogenous Landscapes
Yingisani Chabalala, Elhadi Adam, Khalid Adem Ali
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2621-2621
Open Access | Times Cited: 39

Crop mapping using supervised machine learning and deep learning: a systematic literature review
Mouad Alami Machichi, Loubna El Mansouri, Yasmina Imani, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 8, pp. 2717-2753
Open Access | Times Cited: 26

Evaluating the performance of random forest, support vector machine, gradient tree boost, and CART for improved crop-type monitoring using greenest pixel composite in Google Earth Engine
Chirasmayee Savitha, Reshma Talari
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 4
Closed Access | Times Cited: 1

Crop mapping in smallholder farms using unmanned aerial vehicle imagery and geospatial cloud computing infrastructure
Shaeden Gokool, Maqsooda Mahomed, Kiara Brewer, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26913-e26913
Open Access | Times Cited: 8

Mapping annual 10-m soybean cropland with spatiotemporal sample migration
Hongchi Zhang, Zihang Lou, Dailiang Peng, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8

Boosting of fruit choices using machine learning-based pomological recommendation system
Monica Dutta, Deepali Gupta, Sapna Juneja, et al.
SN Applied Sciences (2023) Vol. 5, Iss. 9
Open Access | Times Cited: 12

Mapping Soybean Planting Areas in Regions with Complex Planting Structures Using Machine Learning Models and Chinese GF-6 WFV Data
Bao She, Jiating Hu, Linsheng Huang, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 231-231
Open Access | Times Cited: 4

Winter Wheat Mapping in Shandong Province of China with Multi-Temporal Sentinel-2 Images
Yongyu Feng, Bingyao Chen, Wei Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3940-3940
Open Access | Times Cited: 4

Advancements in crop mapping through remote sensing: A comprehensive review of concept, data sources, and procedures over four decades
Iman Khosravi
Remote Sensing Applications Society and Environment (2025), pp. 101527-101527
Closed Access

Time series of Sentinel-1 and Sentinel-2 imagery for parcel-based crop-type classification using Random Forest algorithm and Google Earth Engine
Arsalan Ghorbanian, Soheil Zaghian, Seyed Ali Ahmadi, et al.
Elsevier eBooks (2025), pp. 303-319
Closed Access

Integrating Multidimensional Feature Indices and Phenological Windows for Mapping Cropping Patterns in Complex Agricultural Landscape Regions
Haichao Yang, Danyang Wang, Jingda Xin, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7448-7459
Open Access | Times Cited: 3

A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data
Yizhen Zheng, Wen Dong, ZhipingYang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104204-104204
Open Access | Times Cited: 3

Unveiling the Effects of Crop Rotation on Cropland Soil pH Mapping: A Remote Sensing-Based Soil Sample Grouping Strategy
Yuan Liu, Songchao Chen, Ge Shen, et al.
Remote Sensing (2025) Vol. 17, Iss. 9, pp. 1643-1643
Open Access

Synergy of Sentinel-1 and Sentinel-2 Imagery for Crop Classification Based on DC-CNN
Kaixin Zhang, Da Yuan, Huijin Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2727-2727
Open Access | Times Cited: 8

CACPU-Net: Channel attention U-net constrained by point features for crop type mapping
Yuan Bian, Linhui Li, WeiPeng Jing
Frontiers in Plant Science (2023) Vol. 13
Open Access | Times Cited: 7

A New Method for Crop Type Mapping at the Regional Scale Using Multi-Source and Multi-Temporal Sentinel Imagery
Xiaohu Wang, Shifeng Fang, Yichen Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2466-2466
Open Access | Times Cited: 6

A Novel Workflow for Crop Type Mapping with a Time Series of Synthetic Aperture Radar and Optical Images in the Google Earth Engine
Linghui Guo, Sha Zhao, Jiangbo Gao, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5458-5458
Open Access | Times Cited: 8

Sentinel-2 image based smallholder crops classification and accuracy assessment by UAV data
Kadierye Maolan, Yusufujiang Rusuli, Xuhui Zhang, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 1

Analyzing Temporal Characteristics of Winter Catch Crops Using Sentinel-1 Time Series
Shanmugapriya Selvaraj, Damian Bargiel, Abdelaziz Htitiou, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3737-3737
Open Access | Times Cited: 1

Crop Classification in Mountainous Areas Using Object-Oriented Methods and Multi-Source Data: A Case Study of Xishui County, China
Xiangyu Tian, Zhengchao Chen, Yixiang Li, et al.
Agronomy (2023) Vol. 13, Iss. 12, pp. 3037-3037
Open Access | Times Cited: 2

Crop Mapping and Spatio–Temporal Analysis in Valley Areas Using Object-Oriented Machine Learning Methods Combined with Feature Optimization
Xiaoli Fu, Wenzuo Zhou, Xinyao Zhou, et al.
Agronomy (2023) Vol. 13, Iss. 10, pp. 2467-2467
Open Access | Times Cited: 1

Mapping of the Maize Area Using Remotely Detected Multispectral and Radar Images Based on a Random Forest Machine Learning Algorithm
Simbarashe Jombo, Mohamed A. M. Abd Elbasit
2021 IST-Africa Conference (IST-Africa) (2024), pp. 1-10
Closed Access

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