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:

High-resolution map of sugarcane cultivation in Brazil using a phenology-based method
Yi Zheng, Ana Cláudia dos Santos Luciano, Jie Dong, et al.
Earth system science data (2022) Vol. 14, Iss. 4, pp. 2065-2080
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

CROPGRIDS: a global geo-referenced dataset of 173 crops
Fiona H. M. Tang, Thu Ha Nguyen, Giulia Conchedda, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 22

Advances in safe processing of sugarcane and bagasse for the generation of biofuels and bioactive compounds
Atif Khurshid Wani, Farida Rahayu, L Fauziah, et al.
Journal of Agriculture and Food Research (2023) Vol. 12, pp. 100549-100549
Open Access | Times Cited: 40

High-resolution distribution maps of single-season rice in China from 2017 to 2022
Ruoque Shen, Baihong Pan, Qiongyan Peng, et al.
Earth system science data (2023) Vol. 15, Iss. 7, pp. 3203-3222
Open Access | Times Cited: 37

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

Fungal lignocellulolytic enzymes: an in silico and full factorial design approach
Esteffany de Souza Candeo, Fabiano Bisinella Scheufele, Aline de Cássia Campos Pena, et al.
World Journal of Microbiology and Biotechnology (2025) Vol. 41, Iss. 2
Open Access | Times Cited: 1

Exploring the effects of training samples on the accuracy of crop mapping with machine learning algorithm
Yangyang Fu, Ruoque Shen, Chaoqing Song, et al.
Science of Remote Sensing (2023) Vol. 7, pp. 100081-100081
Open Access | Times Cited: 19

Research on automatic identification of coal mining subsidence area based on InSAR and time series classification
Jikun Xu, Chaode Yan, Muhammad Waseem Boota, et al.
Journal of Cleaner Production (2024) Vol. 470, pp. 143293-143293
Closed Access | Times Cited: 7

Impacts of ground-level ozone on sugarcane production
Alexander W. Cheesman, Flossie Brown, Mst Nahid Farha, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166817-166817
Open Access | Times Cited: 14

High-resolution mapping of global winter-triticeae crops using a sample-free identification method
Yangyang Fu, Xiuzhi Chen, Chaoqing Song, et al.
Earth system science data (2025) Vol. 17, Iss. 1, pp. 95-115
Open Access

O Papel da Fertirrigação e dos Agroquímicos Associados ao Cultivo da Cana-de-açúcar na Qualidade das Águas Doces do Brasil: Uma Revisão
Hidaiane Fayga Matias Caldas, Érika Alves Tavares Marques, Bruna Soares Fernandes, et al.
Revista Brasileira de Geografia Física (2025) Vol. 18, Iss. 4, pp. 2573-2595
Open Access

Agroclimatic and Mechanization Zoning of Sugarcane Associated with Ethanol Production Potential in Minas Gerais Under Climate Change Scenarios
Flávio Vanoni de Carvalho Júnior, Marcelo de Carvalho Alves, Luiz Gonsaga de Carvalho, et al.
Journal of Geovisualization and Spatial Analysis (2025) Vol. 9, Iss. 1
Closed Access

Assessment of Land Suitability for Sugarcane Cultivation Using TOPSIS and Parametric Methods in Southwestern Iran
Abolfazl Azadi, S. Jalali, Mir Naser Navidi
Eurasian Soil Science (2023) Vol. 56, Iss. 6, pp. 818-829
Closed Access | Times Cited: 9

Cotton lands induced cooling effect on land surface temperature in Xinjiang, China
Jie Dong, Zhouye Pang, Shangrong Lin, et al.
Agricultural and Forest Meteorology (2024) Vol. 351, pp. 110004-110004
Closed Access | Times Cited: 3

Parcel-Based Sugarcane Mapping Using Smoothed Sentinel-1 Time Series Data
Hongzhong Li, Zhengxin Wang, Luyi Sun, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2785-2785
Open Access | Times Cited: 2

Mapping Land Use and Land Cover Classes in São Paulo State, Southeast of Brazil, Using Landsat-8 OLI Multispectral Data and the Derived Spectral Indices and Fraction Images
Yosio Edemir Shimabukuro, Egídio Arai, Gabriel M. da Silva, et al.
Forests (2023) Vol. 14, Iss. 8, pp. 1669-1669
Open Access | Times Cited: 5

Improving the representation of sugarcane crop in the Joint UK Land Environment Simulator (JULES) model for climate impact assessment
Murilo dos Santos Vianna, Karina Williams, Emma Littleton, et al.
GCB Bioenergy (2022) Vol. 14, Iss. 10, pp. 1097-1116
Open Access | Times Cited: 8

Winter Wheat Extraction Using Time-Series Sentinel-2 Data Based on Enhanced TWDTW in Henan Province, China
Xiaolei Wang, Mei Hou, Shouhai Shi, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1490-1490
Open Access | Times Cited: 4

Functional Use-Based Positioning of Conventional Vehicles in Conjunction with Alternate Low-Emission Fuels
Saurabh Kumar, Rudrodip Majumdar
Energy, environment, and sustainability (2023), pp. 97-159
Closed Access | Times Cited: 4

A Review of Remote Sensing in Sugarcane Mapping
Hui Li, Liping Di, Chen Zhang, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 4

Integrating Actuator Fault-Tolerant Control and Deep-Learning-Based NDVI Estimation for Precision Agriculture with a Hexacopter UAV
Gerardo Ortíz-Torres, Manuel A. Zurita-Gil, Jesse Y. Rumbo‐Morales, et al.
AgriEngineering (2024) Vol. 6, Iss. 3, pp. 2768-2794
Open Access | Times Cited: 1

Mapping sugarcane globally at 10 m resolution using Global Ecosystem Dynamics Investigation (GEDI) and Sentinel-2
Stefania Di Tommaso, Sherrie Wang, Rob Strey, et al.
Earth system science data (2024) Vol. 16, Iss. 10, pp. 4931-4947
Open Access | Times Cited: 1

A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands
Qiongyan Peng, Ruoque Shen, Jie Dong, et al.
Frontiers in Environmental Science (2023) Vol. 10
Open Access | Times Cited: 3

Supplementary material to "CROPGRIDS: A global geo-referenced dataset of 173 crops circa 2020"
Fiona H. M. Tang, Thu Ha Nguyen, Giulia Conchedda, et al.
(2023)
Open Access | Times Cited: 3

A Robust Index Based on Phenological Features to Extract Sugarcane from Multisource Remote Sensing Data
Yuanyuan Liu, Chao Ren, Jieyu Liang, et al.
Remote Sensing (2023) Vol. 15, Iss. 24, pp. 5783-5783
Open Access | Times Cited: 2

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