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:

Thermal Imaging for Plant Stress Detection and Phenotyping
Mónica Pineda, Matilde Barón, María Luisa Pérez‐Bueno
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 68-68
Open Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

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: 135

A Comprehensive Review of High Throughput Phenotyping and Machine Learning for Plant Stress Phenotyping
Taqdeer Gill, Simranveer Kaur Gill, Dinesh Kumar Saini, et al.
Phenomics (2022) Vol. 2, Iss. 3, pp. 156-183
Open Access | Times Cited: 128

A survey on deep learning-based identification of plant and crop diseases from UAV-based aerial images
Abdelmalek Bouguettaya, Hafed Zarzour, Ahmed Kechida, et al.
Cluster Computing (2022) Vol. 26, Iss. 2, pp. 1297-1317
Open Access | Times Cited: 85

Deep Learning-Based Weed–Crop Recognition for Smart Agricultural Equipment: A Review
Hao-Ran Qu, Wen‐Hao Su
Agronomy (2024) Vol. 14, Iss. 2, pp. 363-363
Open Access | Times Cited: 20

Review: Application of Artificial Intelligence in Phenomics
Shona Nabwire, Hyun Kwon Suh, Moon S. Kim, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4363-4363
Open Access | Times Cited: 59

Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives
Haiyu Tao, Shan Xu, Yongchao Tian, et al.
Plant Communications (2022) Vol. 3, Iss. 6, pp. 100344-100344
Open Access | Times Cited: 59

Machine Learning for Plant Stress Modeling: A Perspective towards Hormesis Management
Amanda Kim Rico-Chávez, Jesus Alejandro Franco, Arturo A. Fernandez‐Jaramillo, et al.
Plants (2022) Vol. 11, Iss. 7, pp. 970-970
Open Access | Times Cited: 43

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: 21

Functional Phenotyping: Understanding the Dynamic Response of Plants to Drought Stress
Sheikh Mansoor, Yong Suk Chung
Current Plant Biology (2024) Vol. 38, pp. 100331-100331
Open Access | Times Cited: 13

Detection and monitoring wheat diseases using unmanned aerial vehicles (UAVs)
Pabitra Joshi, Karansher Singh Sandhu, Guriqbal Singh Dhillon, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109158-109158
Closed Access | Times Cited: 11

Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits
T. Poblete, Juan A Navas‐Cortés, C. Camino, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 179, pp. 133-144
Open Access | Times Cited: 44

Capturing crop adaptation to abiotic stress using image-based technologies
Nadia Al‐Tamimi, Patrick Langan, Villő Bernád, et al.
Open Biology (2022) Vol. 12, Iss. 6
Open Access | Times Cited: 36

Image‐based assessment of plant disease progression identifies new genetic loci for resistance to Ralstonia solanacearum in tomato
Valérian Méline, Denise Caldwell, Bong‐Suk Kim, et al.
The Plant Journal (2023) Vol. 113, Iss. 5, pp. 887-903
Open Access | Times Cited: 20

Water Deficit Diagnosis of Winter Wheat Based on Thermal Infrared Imaging
Shou-Chen Ma, Saisai Liu, Zhenhao Gao, et al.
Plants (2024) Vol. 13, Iss. 3, pp. 361-361
Open Access | Times Cited: 6

The role of artificial intelligence in crop improvement
Karlene L. Negus, Xianran Li, Stephen M. Welch, et al.
Advances in agronomy (2024), pp. 1-66
Closed Access | Times Cited: 5

Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants
Caiming Gou, Sara Zafar, Zuhair Hasnain, et al.
Frontiers in Bioscience-Landmark (2024) Vol. 29, Iss. 1, pp. 20-20
Open Access | Times Cited: 5

Phenotypic, molecular and serological detection of viral diseases in melon: a comprehensive review on progress and challenges
Dharane Kethiravan, Purabi Mazumdar, Boon Chin Tan, et al.
Journal of Plant Diseases and Protection (2025) Vol. 132, Iss. 1
Closed Access

Current progress in plant pathogen detection enabled by nanomaterials-based (bio)sensors
Rafael M. Cardoso, Tamires S. Pereira, Murilo H.M. Facure, et al.
Sensors and Actuators Reports (2021) Vol. 4, pp. 100068-100068
Open Access | Times Cited: 37

Flexible and Shape‐Morphing Plant Sensors Designed for Microenvironment Temperature Monitoring of Irregular Surfaces
Kairu Dong, Yichao Wang, Ruiping Zhang, et al.
Advanced Materials Technologies (2022) Vol. 8, Iss. 4
Closed Access | Times Cited: 23

A survey of image-based computational learning techniques for frost detection in plants
Sayma Shammi, Ferdous Sohel, Dean Diepeveen, et al.
Information Processing in Agriculture (2022) Vol. 10, Iss. 2, pp. 164-191
Open Access | Times Cited: 22

A Synthetic Review of Various Dimensions of Non-Destructive Plant Stress Phenotyping
Dapeng Ye, Libin Wu, Xiaobin Li, et al.
Plants (2023) Vol. 12, Iss. 8, pp. 1698-1698
Open Access | Times Cited: 13

Field identification of drought tolerant wheat genotypes using canopy vegetation indices instead of plant physiological and biochemical traits
Pengfei Wen, Yu Meng, Chenkai Gao, et al.
Ecological Indicators (2023) Vol. 154, pp. 110781-110781
Open Access | Times Cited: 12

Current trends in the use of thermal imagery in assessing plant stresses: A review
Reza Adhitama Putra Hernanda, Hoonsoo Lee, J K Cho, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109227-109227
Closed Access | Times Cited: 4

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