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:

Efficient Drone-Based Rare Plant Monitoring Using a Species Distribution Model and AI-Based Object Detection
William Reckling, Helena Mitášová, Karl W. Wegmann, et al.
Drones (2021) Vol. 5, Iss. 4, pp. 110-110
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

The conservation impact of botanical drones: Documenting and collecting rare plants from vertical cliffs and other hard‐to‐reach areas
Ben Nyberg, Célia Bairos, Marcela Brimhall, et al.
Ecological Solutions and Evidence (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 8

Machine learning-driven habitat suitability modeling of Suaeda aegyptiaca for sustainable industrial cultivation in saline regions
Sara Edrisnia, Mohammad Etemadi, Hamid Reza Pourghasemi
Industrial Crops and Products (2025) Vol. 225, pp. 120427-120427
Open Access

Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping
Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 330-330
Open Access

NU-AIR: A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles
Craig Iaboni, Thomas J. Kelly, Pramod Abichandani
International Journal of Computer Vision (2025)
Open Access

A call to action for inventory and monitoring of cliff ecosystems to support conservation
Georgia R. Harrison, Laura M. Boggess, Sarah E. McCord, et al.
Basic and Applied Ecology (2024) Vol. 80, pp. 31-39
Open Access | Times Cited: 3

Drone-Based Environmental Monitoring and Image Processing Approaches for Resource Estimates of Private Native Forest
Sanjeev Kumar Srivastava, Kah Phooi Seng, Li-Minn Ang, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7872-7872
Open Access | Times Cited: 12

Piloting an Unmanned Aerial Vehicle to Explore the Floristic Variations of Inaccessible Cliffs along Island Coasts
Seongjun Kim, Chang Woo Lee, Hwan-Joon Park, et al.
Drones (2023) Vol. 7, Iss. 2, pp. 140-140
Open Access | Times Cited: 7

Fast Opium Poppy Detection in Unmanned Aerial Vehicle (UAV) Imagery Based on Deep Neural Network
Zhiqi Zhang, Wendi Xia, Guangqi Xie, et al.
Drones (2023) Vol. 7, Iss. 9, pp. 559-559
Open Access | Times Cited: 5

Obstacle Avoidance and Profile Ground Flight Test and Analysis for Plant Protection UAV
Shubo Wang, Shaoqing Xu, Congwei Yu, et al.
Drones (2022) Vol. 6, Iss. 5, pp. 125-125
Open Access | Times Cited: 8

ARSD: An Adaptive Region Selection Object Detection Framework for UAV Images
Yuzhuang Wan, Yi Zhong, Yan Huang, et al.
Drones (2022) Vol. 6, Iss. 9, pp. 228-228
Open Access | Times Cited: 7

Early Detection of an Invasive Alien Plant (Phragmites australis) Using Unoccupied Aerial Vehicles and Artificial Intelligence
Antoine Caron-Guay, Mickaël Germain, Étienne Laliberté
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Detection and Assessment of White Flowering Nectar Source Trees and Location of Bee Colonies in Rural and Suburban Environments Using Deep Learning
Atanas Z. Atanasov, Boris Evstatiev, Asparuh Atanasov, et al.
Diversity (2024) Vol. 16, Iss. 9, pp. 578-578
Open Access | Times Cited: 1

Invasive plants detection and distribution patterns analysis through self-attention enhanced semantic segmentation in UAV imagery and Moran’s index
Jun Chao, Kaiwen Wang, Beibei Xu, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109811-109811
Closed Access | Times Cited: 1

Drones, Deep Learning, and Endangered Plants: A Method for Population-Level Census Using Image Analysis
Kody R. Rominger, Susan E. Meyer
Drones (2021) Vol. 5, Iss. 4, pp. 126-126
Open Access | Times Cited: 8

Monitoring, Tracking and Fighting Pandemics using Drone-based Artificial Intelligence in IoT
K. Praveen Kumar, S. Sangeetha, T. Rajesh Kumar, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2023), pp. 2182-2188
Closed Access | Times Cited: 3

Rapid-DEM: Rapid Topographic Updates through Satellite Change Detection and UAS Data Fusion
Corey T. White, William Reckling, Anna Petrášová, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1718-1718
Open Access | Times Cited: 5

Predicting residential septic system malfunctions for targeted drone inspections
William Reckling, Jay F. Levine, Stacy A. C. Nelson, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 30, pp. 100936-100936
Closed Access | Times Cited: 2

The Doctrines of Margin of Appreciation and Evolutive Interpretation: A Review of the European Court of Human Rights
Peter Komiti
Journal of Policy & Governance (2023) Vol. 03, Iss. 02, pp. 59-69
Open Access | Times Cited: 2

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