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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:

Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
Katja Berger, Miriam Machwitz, Marlena Kycko, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113198-113198
Open Access | Times Cited: 140

Showing 1-25 of 140 citing articles:

Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant’s Abiotic Stress Tolerance Responses
Rajib Roychowdhury, Soumya Prakash Das, Amber Gupta, et al.
Genes (2023) Vol. 14, Iss. 6, pp. 1281-1281
Open Access | Times Cited: 88
Enhancing Smart Agriculture by Implementing Digital Twins: A Comprehensive Review
Nikolaos Peladarinos, Dimitrios Piromalis, Vasileios Cheimaras, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7128-7128
Open Access | Times Cited: 71
Influences of wildfire on the forest ecosystem and climate change: A comprehensive study
Kandasamy Gajendiran, Sabariswaran Kandasamy, Mathiyazhagan Narayanan
Environmental Research (2023) Vol. 240, pp. 117537-117537
Closed Access | Times Cited: 53
A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects
Billy G. Ram, Peter G. Oduor, C. Igathinathane, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109037-109037
Open Access | Times Cited: 41
Enhancing precision agriculture: A comprehensive review of machine learning and AI vision applications in all-terrain vehicle for farm automation
Mrutyunjay Padhiary, Debapam Saha, Raushan Kumar, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100483-100483
Open Access | Times Cited: 40
Chemically Mediated Plant–Plant Interactions: Allelopathy and Allelobiosis
Chui‐Hua Kong, Zheng Li, Feng‐Li Li, et al.
Plants (2024) Vol. 13, Iss. 5, pp. 626-626
Open Access | Times Cited: 25
Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity
Lammert Kooistra, Katja Berger, Benjamin Brede, et al.
Biogeosciences (2024) Vol. 21, Iss. 2, pp. 473-511
Open Access | Times Cited: 21
Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
Zoe Pierrat, Troy S. Magney, Will P. Richardson, et al.
New Phytologist (2025)
Open Access | Times Cited: 5
Remote Sensing Monitoring of Rice and Wheat Canopy Nitrogen: A Review
Jie Zheng, Xiaoyu Song, Guijun Yang, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5712-5712
Open Access | Times Cited: 39
From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data
Eya Cherif, Hannes Feilhauer, Katja Berger, et al.
Remote Sensing of Environment (2023) Vol. 292, pp. 113580-113580
Open Access | Times Cited: 36
Thermal imaging: The digital eye facilitates high-throughput phenotyping traits of plant growth and stress responses
Ting‐Chi Wen, Jianhong Li, Qi Wang, et al.
The Science of The Total Environment (2023) Vol. 899, pp. 165626-165626
Closed Access | Times Cited: 24
Immediate and lagged vegetation responses to dry spells revealed by continuous solar-induced chlorophyll fluorescence observations in a tall-grass prairie
Yao Zhang, Mengyang Cai, Xiangming Xiao, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114080-114080
Closed Access | Times Cited: 14
Removal of canopy shadows improved retrieval accuracy of individual apple tree crowns LAI and chlorophyll content using UAV multispectral imagery and PROSAIL model
Chengjian Zhang, Zhibo Chen, Guijun Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108959-108959
Closed Access | Times Cited: 14
The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review
Kun Zhang, Fangfang Yan, Ping Liu
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109008-109008
Closed Access | Times Cited: 10
Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery
Jaturong Som-ard, Markus Immitzer, Francesco Vuolo, et al.
Precision Agriculture (2024) Vol. 25, Iss. 3, pp. 1581-1608
Open Access | Times Cited: 8
UAV and Satellite Synergies for Mapping Grassland Aboveground Biomass in Hulunbuir Meadow Steppe
Zhu Xiao-hua, Xinyu Chen, Lingling Ma, et al.
Plants (2024) Vol. 13, Iss. 7, pp. 1006-1006
Open Access | Times Cited: 8
Smart Sensor Technologies Shaping the Future of Precision Agriculture: Recent Advances and Future Outlooks
Mohammed Aarif K. O., Afroj Alam, Yousuf Hotak
Journal of Sensors (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1
From Bytes to Farm: Transferability of Industrial Digital Twins in Agricultural Systems
V. S. Manivasagam
Journal of Biosystems Engineering (2025)
Closed Access | Times Cited: 1
Accurate Plant Height Estimation in Pulse Crops through Integration of LiDAR, Multispectral Information, and Machine Learning
Aliasghar Bazrafkan, Hannah Worral, Nonoy Bandillo, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101517-101517
Closed Access | Times Cited: 1
Multispectral imaging: Review of current applications
Feiyan Ma, Mingzhen Yuan, Igor Kozák
Survey of Ophthalmology (2023) Vol. 68, Iss. 5, pp. 889-904
Closed Access | Times Cited: 22
Decoupling physiological and non-physiological responses of sugar beet to water stress from sun-induced chlorophyll fluorescence
Na Wang, Peiqi Yang, J.G.P.W. Clevers, et al.
Remote Sensing of Environment (2023) Vol. 286, pp. 113445-113445
Open Access | Times Cited: 21
Detection of symptoms induced by vascular plant pathogens in tree crops using high-resolution satellite data: Modelling and assessment with airborne hyperspectral imagery
T. Poblete, Juan A Navas‐Cortés, A. Hornero, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113698-113698
Open Access | Times Cited: 19
Toward precision medicine using a “digital twin” approach: modeling the onset of disease-specific brain atrophy in individuals with multiple sclerosis
Steven Cen, Mulugeta Gebregziabher, Saeed Moazami, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Effect of the Synergetic Use of Sentinel-1, Sentinel-2, LiDAR and Derived Data in Land Cover Classification of a Semiarid Mediterranean Area Using Machine Learning Algorithms
Carmen Valdivieso-Ros, Francisco Alonso‐Sarría, Francisco Gomáriz-Castillo
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 312-312
Open Access | Times Cited: 17
Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models
Pablo Reyes-Muñoz, Dávid Kovács, Katja Berger, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114072-114072
Open Access | Times Cited: 8
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