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:

Computer Vision and Deep Learning-enabled Weed Detection Model for Precision Agriculture
R. Punithavathi, A. Delphin Carolina Rani, K. R. Sughashini, et al.
Computer Systems Science and Engineering (2022) Vol. 44, Iss. 3, pp. 2759-2774
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture
E. M. B. M. Karunathilake, Anh Tuan Le, Seong Heo, et al.
Agriculture (2023) Vol. 13, Iss. 8, pp. 1593-1593
Open Access | Times Cited: 289

YOLO-WDNet: A lightweight and accurate model for weeds detection in cotton field
Xiangpeng Fan, Tan Sun, Xiujuan Chai, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109317-109317
Closed Access | Times Cited: 16

Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8

A segmentation network for farmland ridge based on encoder-decoder architecture in combined with strip pooling module and ASPP
Qingqing Hong, Yue Zhu, Wei Liu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 6

Unlocking the potential of precision agriculture for sustainable farming
George Mgendi
Discover Agriculture (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 6

Multiclass weed identification using semantic segmentation: An automated approach for precision agriculture
Sanjay Kumar Gupta, Shivam Yadav, Sanjay Kumar Soni, et al.
Ecological Informatics (2023) Vol. 78, pp. 102366-102366
Closed Access | Times Cited: 14

Improved Method for Apple Fruit Target Detection Based on YOLOv5s
Huaiwen Wang, Jianguo Feng, Honghuan Yin
Agriculture (2023) Vol. 13, Iss. 11, pp. 2167-2167
Open Access | Times Cited: 13

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: 5

Classification of crop leaf diseases using image to image translation with deep-dream
Priyanka Sahu, Anuradha Chug, Amit Prakash Singh, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 35585-35619
Closed Access | Times Cited: 12

Integrating YOLOv8-agri and DeepSORT for Advanced Motion Detection in Agriculture and Fisheries
Hieu Duong-Trung, Nghia Duong‐Trung
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4

Improved Weed Detection in Cotton Fields Using Enhanced YOLOv8s with Modified Feature Extraction Modules
Doudou Ren, Wenzhong Yang, Zhifeng Lu, et al.
Symmetry (2024) Vol. 16, Iss. 4, pp. 450-450
Open Access | Times Cited: 4

AI-powered revolution in plant sciences: advancements, applications, and challenges for sustainable agriculture and food security
Deependra Kumar Gupta, Anselmo Pagani, Paolo Zamboni, et al.
(2024) Vol. 2, Iss. 5, pp. 443-459
Open Access | Times Cited: 4

VM-YOLO: YOLO with VMamba for Strawberry Flowers Detection
Yujin Wang, Xueying Lin, Zhaowei Xiang, et al.
Plants (2025) Vol. 14, Iss. 3, pp. 468-468
Open Access

Revolutionizing Agriculture With Automated Plant Disease Detection
Ahmad Fathan Hidayatullah, Wasswa Shafik
IGI Global eBooks (2025), pp. 267-296
Closed Access

Weed Detection in Lily Fields Using YOLOv7 Optimized by Chaotic Harris Hawks Algorithm for Underground Resource Competition
Junjie Tang, Huafei Wang, Mingyue Zhao, et al.
Symmetry (2025) Vol. 17, Iss. 3, pp. 370-370
Open Access

In-silico analysis of diosgenin and doxorubicin in the extrinsic apoptotic pathway of BAX protein for cancer
G. Logeswari, I. Praveen Kumar
AIP conference proceedings (2025) Vol. 3252, pp. 020183-020183
Closed Access

Comparative study on effectiveness of degradation of methyl orange dye by the bacteria pseudomonas aeurigenosa using biological treatment
S. Srinivasan Sha, C. Femina Carolin
AIP conference proceedings (2025) Vol. 3252, pp. 020181-020181
Closed Access

Comparison of biogas production from the anaerobic treatment of floral waste with canteen waste in biodigester
Soni Sharma, Baranitharan Ethiraj
AIP conference proceedings (2025) Vol. 3252, pp. 020182-020182
Closed Access

Identification and annotation of SOD gene family in Aegle marmelos through comparative BLAST search
Shiva sankar Swaathy, Rakesh Kumar
AIP conference proceedings (2025) Vol. 3252, pp. 020180-020180
Closed Access

Enhancing the accuracy in designing an image with style transfer learning method using visual geometry group (VGG16) over long short-term memory
A. Boobathy, Rashmita Khilar
AIP conference proceedings (2025) Vol. 3252, pp. 020178-020178
Closed Access

Novel autoencoder model for accurate detection of anomaly in medical image comparing with KNN (K-nearest neighbours) based outlier detection
N Bala Sai Vijay Krishna, P. Sriramya
AIP conference proceedings (2025) Vol. 3252, pp. 020179-020179
Closed Access

Advanced Techniques for Agricultural Crop Yield Prediction Using Machine Learning and Computer Vision
Sompal, Randeep Singh
Communications in computer and information science (2025), pp. 111-129
Closed Access

DeepSafe:Two-level deep learning approach for disaster victims detection
Amir Azizi, Panayiotis Charalambous, Yiorgos Chrysanthou
Virtual Reality & Intelligent Hardware (2025) Vol. 7, Iss. 2, pp. 139-154
Open Access

Research on weed identification method in rice fields based on UAV remote sensing
Fenghua Yu, Zhongyu Jin, Sien Guo, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 16

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