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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:

A method for accurately segmenting images of medicinal plant leaves with complex backgrounds
Liwen Gao, Xiaohua Lin
Computers and Electronics in Agriculture (2018) Vol. 155, pp. 426-445
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

A Data Repository of Leaf Images: Practice towards Plant Conservation with Plant Pathology
Siddharth Singh Chouhan, Uday Pratap Singh, Ajay Kaul, et al.
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2019)
Closed Access | Times Cited: 59
Machine learning in medicinal plants recognition: a review
Kalananthni Pushpanathan, Marsyita Hanafi, Syamsiah Mashohor, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 1, pp. 305-327
Closed Access | Times Cited: 58
Enhanced radial basis function neural network for tomato plant disease leaf image segmentation
Manoj A. Patil, M. Manohar
Ecological Informatics (2022) Vol. 70, pp. 101752-101752
Closed Access | Times Cited: 35
Fully automatic segmentation method for medicinal plant leaf images in complex background
Liwen Gao, Xiaohua Lin
Computers and Electronics in Agriculture (2019) Vol. 164, pp. 104924-104924
Closed Access | Times Cited: 51
An IoT and Machine Learning Based Intelligent System for the Classification of Therapeutic Plants
S. Roopashree, Anitha Jayapalan, Sathiyamoorthi Velayutham, et al.
Neural Processing Letters (2022) Vol. 54, Iss. 5, pp. 4465-4493
Closed Access | Times Cited: 24
Deep neural network for multi‐class classification of medicinal plant leaves
Vaibhav Tiwari, Rakesh Chandra Joshi, Malay Kishore Dutta
Expert Systems (2022) Vol. 39, Iss. 8
Closed Access | Times Cited: 23
Influence of Model Size and Image Augmentations on Object Detection in Low-Contrast Complex Background Scenes
Harman Singh Sangha, Matthew J. Darr
AI (2025) Vol. 6, Iss. 3, pp. 52-52
Open Access
Multi-Feature Patch-Based Segmentation Technique in the Gray-Centered RGB Color Space for Improved Apple Target Recognition
Pan Fan, Guodong Lang, Pengju Guo, et al.
Agriculture (2021) Vol. 11, Iss. 3, pp. 273-273
Open Access | Times Cited: 23
A novel approach for unsupervised image segmentation fusion of plant leaves based on G-mutual information
Navid Nikbakhsh, Yasser Baleghi, Hamzeh Agahi
Machine Vision and Applications (2020) Vol. 32, Iss. 1
Closed Access | Times Cited: 26
Artificial bee colony-based fuzzy c means (ABC-FCM) segmentation algorithm and dimensionality reduction for leaf disease detection in bioinformatics
Sushil Kumar, M. G. Sumithra, N. Naga Saranya
The Journal of Supercomputing (2019) Vol. 75, Iss. 12, pp. 8293-8311
Closed Access | Times Cited: 23
Transfer Learning for Medicinal Plant Leaves Recognition: A Comparison with and without a Fine-Tuning Strategy
Vina Ayumi, Ermatita Ermatita, Abdiansah Abdiansah, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 9
Open Access | Times Cited: 12
Filament-necking localization method via combining improved PSO with rotated rectangle algorithm for safflower-picking robots
Zhenyu Xing, Zhenguo Zhang, Ruimeng Shi, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108464-108464
Closed Access | Times Cited: 6
Verified localization and pharmacognosy of herbal medicinal plants in a combined network framework
Misaj Sharafudeen, S. S. Vinod Chandra, Aswathy A.L., et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108467-108467
Closed Access | Times Cited: 1
Medicinal Plants Identification Using Federated Deep Learning
Khanh Le Dinh Viet, Khiem Le Ha, Trung Nguyen Quoc, et al.
Procedia Computer Science (2024) Vol. 234, pp. 247-254
Open Access | Times Cited: 1
Automated Seedling Contour Determination and Segmentation Using Support Vector Machine and Image Features
Samsuzzaman Samsuzzaman, Md Nasim Reza, Sumaiya Islam, et al.
Agronomy (2024) Vol. 14, Iss. 12, pp. 2940-2940
Open Access | Times Cited: 1
A simple and efficient technique for leaf extraction in complex backgrounds of low resolution mobile photographed images
B R Pushpa, N. Shobha Rani
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 1, pp. 773-789
Closed Access | Times Cited: 7
A Machine Learning Approach to Classification of Okra
Nagarjuna Karyemsetty, Poojitha Rudra, Gollapudi Yaswanth, et al.
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2022), pp. 843-847
Closed Access | Times Cited: 6
Design of Machine Learning Solutions to Post-Harvest Classification of Vegetal Species
Papa Moussa Diop, Naoki Oshiro, Morikazu Nakamura, et al.
AgriEngineering (2023) Vol. 5, Iss. 2, pp. 1005-1019
Open Access | Times Cited: 2
Cohort study on recognition of plant species using Deep Learning methods
Deepti Barhate, Sunil Pathak, Ashutosh Kumar Dubey, et al.
Journal of Physics Conference Series (2022) Vol. 2273, Iss. 1, pp. 012006-012006
Open Access | Times Cited: 3
Ayurvedic Plants Identification based on Machine Learning and Deep Learning Technologies
Shakya Rajani, Veena M.N
(2022), pp. 1-6
Closed Access | Times Cited: 3
Mini Kirsch Edge Detection and Its Sharpening Effect
Joyce Sin Yin Sia, Tan Tian Swee, Azli Bin Yahya, et al.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 4
A Review on Medicinal Plant identification through Leaf Image
RESHMA RESHMA, Kanwal Preet Singh Attwal
(2024), pp. 27-33
Closed Access
Target soybean leaf automatic segmentation based on object detection and interactive segmentation models
Dong Wang, Zetao Huang, Haipeng Yuan, et al.
(2023)
Open Access | Times Cited: 1
Analyzing The Prediction Accuracy Of Corn Leaf Diseases Using A Pre-Trained Network Model
C. Ashwini, V. Sellam
(2023), pp. 87-91
Closed Access | Times Cited: 1
Implementation of adaptive multiscale dilated convolution-based ResNet model with complex background removal for tomato leaf disease classification framework
Alampally Sreedevi, K. Srinivas
Signal Image and Video Processing (2023) Vol. 18, Iss. 3, pp. 2007-2017
Closed Access | Times Cited: 1
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