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:

Weed Detection in Rice Fields Using Remote Sensing Technique: A Review
Rhushalshafira Rosle, Nik Norasma Che’Ya, Yuhao Ang, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10701-10701
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Artificial Intelligence in Agricultural Mapping: A Review
Ramón Espinel, Gricelda Herrera-Franco, José Luis Rivadeneira García, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1071-1071
Open Access | Times Cited: 14

Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning
Zhonghui Guo, Dongdong Cai, Yunyi Zhou, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 9

The Application of Hyperspectral Remote Sensing Imagery (HRSI) for Weed Detection Analysis in Rice Fields: A Review
Nursyazyla Sulaiman, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2570-2570
Open Access | Times Cited: 31

Advancements of UAV and Deep Learning Technologies for Weed Management in Farmland
Jinmeng Zhang, Yu Feng, Qian Zhang, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 494-494
Open Access | Times Cited: 7

Semi-supervised learning for detection of sedges in sod farms
Xin Chen, Teng Liu, Kang Han, et al.
Crop Protection (2024) Vol. 179, pp. 106626-106626
Closed Access | Times Cited: 5

GTCBS-YOLOv5s: A lightweight model for weed species identification in paddy fields
Yuanyuan Shao, Xianlu Guan, Guantao Xuan, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108461-108461
Closed Access | Times Cited: 11

Exploring the Potential of Remote Sensing to Facilitate Integrated Weed Management in Smallholder Farms: A Scoping Review
Shaeden Gokool, Maqsooda Mahomed, Alistair Clulow, et al.
Drones (2024) Vol. 8, Iss. 3, pp. 81-81
Open Access | Times Cited: 4

Sustainable Weed Management in Rice to Ensure Food Security: A Review
Mst. Motmainna, Abdul Shukor Juraimi, Nik Norasma Che’Ya, et al.
ACS Agricultural Science & Technology (2025)
Closed Access

Remote sensing application in plant protection and its usage in smart agriculture to hasten decision making of the farmers
R. Sathya Priya, N. Jagathjothi, M. Yuvaraj, et al.
Journal of Plant Diseases and Protection (2025) Vol. 132, Iss. 2
Closed Access

Remote sensing for precision weed management
Yanbo Huang, Xin Sun, Nitin Rai, et al.
Pest Management Science (2025)
Closed Access

Leveraging Unmanned Aerial Vehicle Technologies to Facilitate Precision Water Management in Smallholder Farms: A Scoping Review and Bibliometric Analysis
Ameera Yacoob, Shaeden Gokool, Alistair Clulow, et al.
Drones (2024) Vol. 8, Iss. 9, pp. 476-476
Open Access | Times Cited: 3

Research on unmanned aerial vehicle (UAV) rice field weed sensing image segmentation method based on CNN-transformer
Zhonghui Guo, Dongdong Cai, Zhongyu Jin, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109719-109719
Open Access | Times Cited: 3

Weedy Rice Detection Mobile Apps Using Convolutional Neural Network
Dayana Batrisya Mohd Azahari, Sulaiman Mahzan, Siti Fairuz Nurr Sadikan, et al.
Studies in computational intelligence (2025), pp. 75-88
Closed Access

Application of artificial intelligence techniques to addressing and mitigating biotic stress in paddy crop: a review
Shubhika Shubhika, Pradeep Kumar Patel, Rickwinder Singh, et al.
Plant Stress (2024) Vol. 14, pp. 100592-100592
Open Access | Times Cited: 2

A Novel Deep Multi-Image Object Detection Approach for Detecting Alien Barleys in Oat Fields Using RGB UAV Images
Ehsan Khoramshahi, Roope Näsi, Stefan Rua, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3582-3582
Open Access | Times Cited: 5

Potential of temporal satellite data analysis for detection of weed infestation in rice crop
Manju Tiwari, Prasun Kumar Gupta, Nitish Tiwari, et al.
The Egyptian Journal of Remote Sensing and Space Science (2024) Vol. 27, Iss. 4, pp. 734-742
Open Access | Times Cited: 1

Weed Detection in Rice Fields Using UAV and Multispectral Aerial Imagery
Rhushalshafira Rosle, Nursyazyla Sulaiman, Nik Norasma Che’Ya, et al.
(2022), pp. 44-44
Open Access | Times Cited: 4

A Novel Approach for Identification of Weeds in Paddy By using Deep Learning Techniques
R. Elakya, U. Vignesh, P. Valarmathi, et al.
International Journal of Electrical and Electronics Research (2022) Vol. 10, Iss. 4, pp. 832-836
Open Access | Times Cited: 3

Identifying Rice Field Weeds from Unmanned Aerial Vehicle Remote Sensing Imagery Using Deep Learning
Zhonghui Guo, Dongdong Cai, Yunyi Zhou, et al.
Research Square (Research Square) (2024)
Open Access

Image Based Rice Weed Identification Using Deep Learning and Attention Mechanisms
Sapna Nigam, Ashish Kumar Singh, Vaibhav Kumar Singh, et al.
Lecture notes in networks and systems (2024), pp. 742-751
Closed Access

Weeds Detection and Control in Rice Crop Using UAVs and Artificial Intelligence: A Review
S. Ahmad
Advances in Agricultural and Food Research Journal (2022)
Open Access | Times Cited: 1

Using Artificial Intelligence in Agroforestry as an Economic Solution for Carbon Recycling in Tanzania
Proscovia Paschal Kamugisha, Sebastian Faustin Mhanga
Advances in environmental engineering and green technologies book series (2023), pp. 1-32
Closed Access

Investigation of the applicability of RGB image analysis for the inspection of slope revegetation with herbaceous plants by seeding works
Takuya Masamoto, Kazunari Sako, Shin‐ichi Ito
Japanese Geotechnical Journal (2023) Vol. 18, Iss. 1, pp. 81-95
Open Access

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