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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:

Integrating volunteered smartphone data with multispectral remote sensing to estimate forest fuels
Colin Ferster, Nicholas C. Coops
International Journal of Digital Earth (2015) Vol. 9, Iss. 2, pp. 171-196
Closed Access | Times Cited: 19

Showing 19 citing articles:

Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour
Matthew G. Gale, Geoffrey J. Cary, Albert I. J. M. van Dijk, et al.
Remote Sensing of Environment (2021) Vol. 255, pp. 112282-112282
Closed Access | Times Cited: 124
Characterizing Forest Change Using Community-Based Monitoring Data and Landsat Time Series
Ben DeVries, Arun Kumar Pratihast, Jan Verbesselt, et al.
PLoS ONE (2016) Vol. 11, Iss. 3, pp. e0147121-e0147121
Open Access | Times Cited: 98
Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications
Riyaaz Uddien Shaik, Shoba Periasamy, Weiping Zeng
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1378-1378
Open Access | Times Cited: 39
Wildfire fuels mapping through artificial intelligence-based methods: A review
Riyaaz Uddien Shaik, Mohamad Alipour, Kasra Shamsaei, et al.
Earth-Science Reviews (2025), pp. 105064-105064
Closed Access | Times Cited: 1
Getting the full picture: Assessing the complementarity of citizen science and agency monitoring data
Jeneen Hadj‐Hammou, Steven Loiselle, Daniel Ophof, et al.
PLoS ONE (2017) Vol. 12, Iss. 12, pp. e0188507-e0188507
Open Access | Times Cited: 79
Earth observation and social media: Evaluating the spatiotemporal contribution of non-native trees to cultural ecosystem services
Ana Sofia Vaz, João Gonçalves, Paulo Pereira, et al.
Remote Sensing of Environment (2019) Vol. 230, pp. 111193-111193
Closed Access | Times Cited: 43
Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping
Matthieu Molinier, Carlos A. López‐Sánchez, Timo Toivanen, et al.
Remote Sensing (2016) Vol. 8, Iss. 10, pp. 869-869
Open Access | Times Cited: 41
Comparison of Tree Typologies Mapping Using Random Forest Classifier Algorithm of PRISMA and Sentinel-2 Products in Different Areas of Central Italy
Eros Caputi, Gabriele Delogu, Alessio Patriarca, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 356-356
Open Access
Wildfire response of forest species from multispectral LiDAR data. A deep learning approach with synthetic data
Lino Comesaña-Cebral, J. Martínez-Sánchez, Gabriel E. Suárez-Fernández, et al.
Ecological Informatics (2024) Vol. 81, pp. 102612-102612
Open Access | Times Cited: 3
Data Fusion in Earth Observation and the Role of Citizen as a Sensor: A Scoping Review of Applications, Methods and Future Trends
Aikaterini Karagiannopoulou, Athanasia Tsertou, Georgios Tsimiklis, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1263-1263
Open Access | Times Cited: 13
Leveraging the Potential of PRISMA Hyperspectral Data for Forest Tree Species Classification: A Case Study in Southern Italy
Gabriele Delogu, Miriam Perretta, Eros Caputi, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4788-4788
Open Access | Times Cited: 1
Pansharpening using a guided image filter based on dual-scale detail extraction
Lihua Jian, Xiaomin Yang, Wei Wu, et al.
Journal of Ambient Intelligence and Humanized Computing (2018) Vol. 15, Iss. 3, pp. 1849-1863
Closed Access | Times Cited: 7
Terrestrial Image-Based Point Clouds for Mapping Near-Ground Vegetation Structure: Potential and Limitations
Luke Wallace, Bryan Hally, Samuel Hillman, et al.
Fire (2020) Vol. 3, Iss. 4, pp. 59-59
Open Access | Times Cited: 7
The Experience of Chamwino Small-Scale Farmers on the Use of Smartphone in Farming Business, Tanzania
Ezra Misaki
IFIP advances in information and communication technology (2019), pp. 593-605
Open Access | Times Cited: 6
TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest
Yi Lin, Wei Tian, Bin Yang, et al.
International Journal of Digital Earth (2016) Vol. 10, Iss. 7, pp. 701-718
Open Access | Times Cited: 4
Continous updating and refinement of land cover data product
Jun Chen, Jun Zhang, Wei Wei Zhang, et al.
National Remote Sensing Bulletin (2016) Vol. 20, Iss. 5, pp. 991-1001
Open Access | Times Cited: 4
Combining Camera Relascope-Measured Field Plots and Multi-Seasonal Landsat 8 Imagery for Enhancing the Forest Inventory of Boreal Forests in Central Russia
Georgy Rybakov, Jussi Peuhkurinen, Petri Latva-Käyrä, et al.
Remote Sensing (2018) Vol. 10, Iss. 11, pp. 1796-1796
Open Access | Times Cited: 3
Negative emissions at negative cost-an opportunity for a scalable niche
P.V. Aravind, Vipin Champatan, Girigan Gopi, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 2
Negative Emissions at Negative Cost- An Opportunity for a Scalable Niche
Aravind PV, Vipin Champatan, Girigan Gopi, et al.
(2022)
Open Access | Times Cited: 1
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