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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:

Automated high resolution mapping of coffee in Rwanda using an expert Bayesian network
A. Mukashema, A. Veldkamp, Anton Vrieling
International Journal of Applied Earth Observation and Geoinformation (2014) Vol. 33, pp. 331-340
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A generalized computer vision approach to mapping crop fields in heterogeneous agricultural landscapes
Stephanie Debats, Dee Luo, Lyndon Estes, et al.
Remote Sensing of Environment (2016) Vol. 179, pp. 210-221
Open Access | Times Cited: 86
Automatic Segmentation of Mauritia flexuosa in Unmanned Aerial Vehicle (UAV) Imagery Using Deep Learning
Giorgio Morales, Guillermo Kemper, Grace Sevillano, et al.
Forests (2018) Vol. 9, Iss. 12, pp. 736-736
Open Access | Times Cited: 78
Using Google Earth Engine to Map Complex Shade-Grown Coffee Landscapes in Northern Nicaragua
Lisa C. Kelley, L. H. Pitcher, Christopher M. Bacon
Remote Sensing (2018) Vol. 10, Iss. 6, pp. 952-952
Open Access | Times Cited: 63
Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas
Mingquan Wu, Wenjiang Huang, Zheng Niu, et al.
Computers and Electronics in Agriculture (2017) Vol. 139, pp. 1-9
Closed Access | Times Cited: 42
Review of Remote Sensing Methods to Map Coffee Production Systems
David A. Hunt, Karyn Tabor, Jennifer Hewson, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 2041-2041
Open Access | Times Cited: 38
Mapping the Distribution of Coffee Plantations from Multi-Resolution, Multi-Temporal, and Multi-Sensor Data Using a Random Forest Algorithm
Anggun Tridawati, Ketut Wikantika, Tri Muji Susantoro, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3933-3933
Open Access | Times Cited: 36
Integration of Sentinel optical and radar data for mapping smallholder coffee production systems in Vietnam
Gina Maskell, Abel Chemura, Huong Thi Thanh Nguyen, et al.
Remote Sensing of Environment (2021) Vol. 266, pp. 112709-112709
Open Access | Times Cited: 32
Crop Mapping Using PROBA-V Time Series Data at the Yucheng and Hongxing Farm in China
Xin Zhang, Miao Zhang, Yang Zheng, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 915-915
Open Access | Times Cited: 33
Evaluation and comparison of Sentinel-2 MSI, Landsat 8 OLI, and EFFIS data for forest fires mapping. Illustrations from the summer 2017 fires in Tunisia
Hammadi Achour, Ahmed Toujani, Hichem Trabelsi, et al.
Geocarto International (2021) Vol. 37, Iss. 24, pp. 7021-7040
Closed Access | Times Cited: 27
Identifying Corn Lodging in the Mature Period Using Chinese GF-1 PMS Images
Xianda Huang, Xuan Fu, Yi Dong, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 894-894
Open Access | Times Cited: 10
Developing detailed age-specific thematic maps for coffee (Coffea arabica L.) in heterogeneous agricultural landscapes using random forests applied on Landsat 8 multispectral sensor
Abel Chemura, Onisimo Mutanga
Geocarto International (2016) Vol. 32, Iss. 7, pp. 759-776
Closed Access | Times Cited: 28
Single- and Multi-Date Crop Identification Using PROBA-V 100 and 300 m S1 Products on Zlatia Test Site, Bulgaria
Eugenia Roumenina, Clement Atzberger, V. Vassilev, et al.
Remote Sensing (2015) Vol. 7, Iss. 10, pp. 13843-13862
Open Access | Times Cited: 27
Retrieving the National Main Commodity Maps in Indonesia Based on High-Resolution Remotely Sensed Data Using Cloud Computing Platform
Aryo Adhi Condro, Yudi Setiawan, Lilik Budi Prasetyo, et al.
Land (2020) Vol. 9, Iss. 10, pp. 377-377
Open Access | Times Cited: 21
Deep Learning Model Development for Detecting Coffee Tree Changes Based on Sentinel-2 Imagery in Vietnam
Quang Toan Le, Kinh Bac Dang, Tuan Linh Giang, et al.
IEEE Access (2022) Vol. 10, pp. 109097-109107
Open Access | Times Cited: 13
Coffee trees intercropped with common beans: An opportunity to regulate the aphid Toxoptera aurantii (Boyer de Fonscolombe) (Hemiptera: Aphididae) in coffee agroecosystems
Anastase Harelimana, Guillaume Le Goff, Daniel Rukazambuga, et al.
Arthropod-Plant Interactions (2024) Vol. 18, Iss. 2, pp. 307-316
Closed Access | Times Cited: 2
Enhancing Coffee Agroforestry Systems Suitability Using Geospatial Analysis and Sentinel Satellite Data in Gedeo Zone, Ethiopia
Wondifraw Nigussie, Husam A. H. Al-Najjar, Wanchang Zhang, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6287-6287
Open Access | Times Cited: 2
Regional climate sensitivity of wetland environments in Rwanda: the need for a location-specific approach
Elias Nyandwi, A. Veldkamp, Sherif Amer
Regional Environmental Change (2015) Vol. 16, Iss. 6, pp. 1635-1647
Open Access | Times Cited: 17
Identifying rice stress on a regional scale from multi-temporal satellite images using a Bayesian method
Meiling Liu, Tiejun Wang, Andrew K. Skidmore, et al.
Environmental Pollution (2019) Vol. 247, pp. 488-498
Open Access | Times Cited: 13
Sixty percent of small coffee farms have suitable socio-economic and environmental locations in Rwanda
A. Mukashema, A. Veldkamp, Sherif Amer
Agronomy for Sustainable Development (2016) Vol. 36, Iss. 2
Open Access | Times Cited: 8
Aid, trade and the post-war recovery of the Rwandan coffee sector
Andrea Guariso, Marijke Verpoorten
Journal of Eastern African Studies (2018) Vol. 12, Iss. 3, pp. 552-574
Open Access | Times Cited: 7
Modelling spatial variability of coffee (Coffea Arabica L.) crop condition with multispectral remote sensing data.
Abel Chemura
(2017)
Closed Access | Times Cited: 4
The use of machine learning in digital processing of satellite images applied to coffee crop
Jonathan da, Marcelo de Carvalho Alves
CABI Reviews (2020)
Closed Access | Times Cited: 4
STATISTICAL AND AI MODELING OF UK AND FRANCE ELEVATOR ACCIDENTS AND THEIR VIOLATING SAFETY RULES
Vasilios Zarikas, Moldir Zholdasbayeva, Ayan Mitra
Istrazivanja i projektovanja za privredu (2023) Vol. 21, Iss. 4, pp. 999-1015
Open Access | Times Cited: 1
Analysis of the Biennial Productivity of Arabica Coffee with Google Earth Engine in the Northeast Region of São Paulo, Brazil
M. Manoel, Marcos Reis Rosa, Alfredo Pereira de Queiroz Filho
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3833-3833
Open Access
Smallholder coffee terroirs of Rwanda : linking local to global trade through geographical characterization
Adrie Mukashema
(2017)
Open Access | Times Cited: 1
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