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:

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

Showing 26-50 of 51 citing articles:

A comprehensive review on current issues and advancements of Internet of Things in precision agriculture
Dhanasekar Subramaniyam
Computer Science Review (2024) Vol. 55, pp. 100694-100694
Closed Access | Times Cited: 2

Graph ranking based butterfly segmentation in ecological images
Idir Filali, Brahim Achour, Malika Belkadi, et al.
Ecological Informatics (2022) Vol. 68, pp. 101553-101553
Closed Access | Times Cited: 12

An Automatic-Segmentation- and Hyper-Parameter-Optimization-Based Artificial Rabbits Algorithm for Leaf Disease Classification
Ihtiram Raza Khan, M. Siva Sangari, Piyush Kumar Shukla, et al.
Biomimetics (2023) Vol. 8, Iss. 5, pp. 438-438
Open Access | Times Cited: 5

CUDU-Net: Collaborative up-sampling decoder U-Net for leaf vein segmentation
Wanqiang Cai, Bin Wang, Fanqing Zeng
Digital Signal Processing (2023) Vol. 144, pp. 104287-104287
Closed Access | Times Cited: 5

Estimating the aquatic-plant area on a pond surface using a hue-saturation-component combination and an improved Otsu method
Yuxing Fan, Yingyi Chen, Xin Chen, et al.
Computers and Electronics in Agriculture (2021) Vol. 188, pp. 106372-106372
Closed Access | Times Cited: 12

Chlorophyll detector development based on snapshot-mosaic multispectral image sensing and field wheat canopy processing
Weijie Tang, Nan Wang, Ruomei Zhao, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106999-106999
Closed Access | Times Cited: 8

An hierarchical approach for automatic segmentation of leaf images with similar background using kernel smoothing based Gaussian process regression
Jaya Brindha G., Gopi E.S.
Ecological Informatics (2021) Vol. 63, pp. 101323-101323
Closed Access | Times Cited: 11

Pellet image segmentation model of superpixel feature-based support vector machine in digital twin
Weining Ma, Jingguo Qu, Lijing Wang, et al.
Applied Soft Computing (2023) Vol. 151, pp. 111083-111083
Closed Access | Times Cited: 4

Diseased Leaf Segmentation from Complex Background Using Indices Based Histogram
Pushpa BR, Shree Hari AV, Adarsh Ashok
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2021) Vol. 11, pp. 1502-1507
Closed Access | Times Cited: 10

Segmentation of cotton leaf images using a modified chan vese method
Bhagya M Patil, Vishwanath Burkpalli
Multimedia Tools and Applications (2022) Vol. 81, Iss. 11, pp. 15419-15437
Closed Access | Times Cited: 7

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

Multi-resolution analysis and deep neural network architecture based hybrid feature extraction technique for plant disease identification and severity estimation
K. Kirti, Navin Rajpal, Jyotsna Yadav, et al.
Evolutionary Intelligence (2022) Vol. 17, Iss. 2, pp. 1163-1183
Closed Access | Times Cited: 6

Ayurvedic Medicinal Plant Identification System Using Embedded Image Processing Techniques
Arnab Das, B. Siva Sai Kumar, S. Shiva Shankar Reddy, et al.
Lecture notes in electrical engineering (2023), pp. 167-184
Closed Access | Times Cited: 3

A lightweight deep neural network implemented on MATLAB without using GPU for the automatic monitoring of the plants
Abhishek Gupta
Multimedia Tools and Applications (2022) Vol. 82, Iss. 5, pp. 7343-7359
Closed Access | Times Cited: 3

Butterfly segmentation by multi scaled quantum cuts in agro-ecological environment
Idir Filali, Mohamed Ramdani, Brahim Achour
Signal Processing (2024) Vol. 219, pp. 109420-109420
Closed Access

A Single-Stage Navigation Path Extraction Network for agricultural robots in orchards
Hui Liu, Xiao Zeng, Yue Shen, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109687-109687
Closed Access

Adaptive machine learning approach for Grape Leaf Segmentation
M. Shantkumari, Uma S V
2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) (2019), pp. 482-487
Closed Access | Times Cited: 3

Document Image Extraction System Design
N I Widiastuti, Kania Evita Dewi
IOP Conference Series Materials Science and Engineering (2020) Vol. 879, Iss. 1, pp. 012069-012069
Open Access | Times Cited: 3

Automatic adaptive weighted fusion of features-based approach for plant disease identification
K. Kirti, Navin Rajpal, Virendra P. Vishwakarma
Journal of Intelligent Systems (2023) Vol. 32, Iss. 1
Open Access | Times Cited: 1

A rapid method for removing complex backgrounds for potato early blight monitoring
Tong Zhu, Jingtao Li, Jingwen Chen, et al.
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) (2023), pp. 568-572
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

High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network
Yinglun Li, Weiliang Wen, Xinyu Guo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 2

Research Review and Literature Perception Towards Medicinal Plants Classification Using Deep Learning Techniques
Himanshu Kumar Diwedi, Anuradha Misra, Amod Kumar Tiwari, et al.
Lecture notes in networks and systems (2023), pp. 259-272
Closed Access

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