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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:

Exploring Deep Ensemble Model for Insect and Pest Detection from Images
Zeba Anwar, Sarfaraz Masood
Procedia Computer Science (2023) Vol. 218, pp. 2328-2337
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Using transfer learning-based plant disease classification and detection for sustainable agriculture
Wasswa Shafik, Ali Tufail, Liyanage C. De Silva, et al.
BMC Plant Biology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 33
Insect Classification using Deep Convolutional Neural Networks and Transfer Learning On MobileNetV3 Model
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta, et al.
(2023)
Closed Access | Times Cited: 14
Pest Localization Using YOLOv5 and Classification Based on Quantum Convolutional Network
Javeria Amin, Muhammad Almas Anjum, Rida Zahra, et al.
Agriculture (2023) Vol. 13, Iss. 3, pp. 662-662
Open Access | Times Cited: 13
Citrus Pest Identification Model Based on Improved ShuffleNet
Yannan Yu, Chun-Lin Xiong, Jichi Yan, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4437-4437
Open Access | Times Cited: 4
Robust CRW crops leaf disease detection and classification in agriculture using hybrid deep learning models
B. V. Baiju, Nancy Kirupanithi, Saravanan Srinivasan, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
A transfer learning approach to classify insect diversity based on explainable AI
Md. Mahmudul Hasan, SM Shaqib, Sharmin Akter, et al.
Discover Life (2025) Vol. 55, Iss. 1
Open Access
Comparison Efficacy of VGG16 and VGG19 Insect Classification Models
Djarot Hindarto, Nihayah Afarini, Endah T Esthi H
JIKO (Jurnal Informatika dan Komputer) (2023) Vol. 6, Iss. 3, pp. 189-195
Open Access | Times Cited: 10
Weight-based ensemble method for crop pest identification
Miao Chen, Jianji Wang, Yanan Chen, et al.
Ecological Informatics (2024) Vol. 82, pp. 102693-102693
Open Access | Times Cited: 3
Multi-Features and Multi-Deep Learning Networks to identify, prevent and control pests in tremendous farm fields combining IoT and pests sound analysis
Md. Akkas Ali, Anupam Kumar Sharma, Rajesh Kumar Dhanaraj
(2024)
Closed Access | Times Cited: 2
AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images
B. Prasath, M. Akila
Knowledge and Information Systems (2024)
Closed Access | Times Cited: 2
Machine learning for pest detection and infestation prediction: A comprehensive review
Mamta Mittal, Vedika Gupta, Mohammad Aamash, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 5
Closed Access | Times Cited: 2
Overview of Pest Detection and Recognition Algorithms
Boyu Guo, Jianji Wang, Minghui Guo, et al.
Electronics (2024) Vol. 13, Iss. 15, pp. 3008-3008
Open Access | Times Cited: 2
Classification of Insect Pest Species using CNN based Models
Nikita Agarwal, Tina Kalita, Ashwani Kumar Dubey
2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (2023)
Closed Access | Times Cited: 6
RESEARCH AND DEVELOPMENT OF INTELLIGENT GREENHOUSE MONITORING AND CONTROL SYSTEM：A REVIEW
Ru Jiang, Zhang Dong
Deleted Journal (2023) Vol. 2023, Iss. 3, pp. 05-11
Open Access | Times Cited: 4
Decision Fusion-Based System to Detect Two Invasive Stink Bugs in Orchards
Alexandru Dinca, Dan Popescu, Loretta Ichim, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100548-100548
Open Access | Times Cited: 1
Transforming Agriculture with AI: Automated Crop Insect Identification Using InceptionV3 Transfer Learning
Thyagharajan K.K., G. Kalaiarasi, G. Nirmala, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Automated Plant Disease Detection Using Efficient Deep Ensemble Learning Model for Smart Agriculture
Rahan Manoj, Aasha Nandhini S, T. Sasilatha
Advances in media, entertainment and the arts (AMEA) book series (2024), pp. 318-336
Closed Access
Machine vision solutions for monitoring pest snails in Australian no-till cropping fields: An exploration of spectral characteristics and detectability
Huajian Liu, Kym D. Perry, Tien‐Fu Lu, et al.
Journal of Agriculture and Food Research (2024) Vol. 16, pp. 101146-101146
Open Access
OPTIMIZATION OF CNN + MOBILENETV3 FOR INSECT IDENTIFICATION: TOWARD HIGH ACCURACY
Nihayah Afarini, Djarot Hindarto
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) (2024) Vol. 9, Iss. 1, pp. 21-28
Open Access
Paddy insect identification using deep features with lion optimization algorithm
M.A. Elmagzoub, Wahidur Rahman, Kaniz Roksana, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32400-e32400
Open Access
Multiscale Feature Pyramid Network-Enabled Deep Learning and IoT-Based Pest Detection System Using Sound Analytics in Large Agricultural Field
Md. Akkas Ali, Anupam Kumar Sharma, Rajesh Kumar Dhanaraj
Lecture notes in networks and systems (2024), pp. 1-13
Closed Access
Early Detection and Prediction of Pests in Field Crops Using Transfer Learning
Zeeshan Ali Haider, Fida Muhammad Khan, Inam Ullah Khan, et al.
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 3, pp. 98-113
Open Access
Investigation of automated plant disease detection framework using machine learning classifier with novel segmentation and feature extraction strategy
K. S. Ravichandran, S. Aasha Nandhini, T. Sasilatha
Elsevier eBooks (2024), pp. 313-321
Closed Access
Paddy Pest Detection with a Modified SE-YOLO Model Using the TPD-20 Dataset
Mohamed Mansoor Roomi Sindha, Uma Maheswari Pandyan, K. Priya, et al.
(2024), pp. 1-9
Closed Access
Detection of Whiteflies in Plants using Deep Learning
Jenowin Jebadoss, Bertia Albert
(2023), pp. 433-440
Closed Access
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