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International Journal of Image and Graphics
JournalCitation impact & published research
International Journal of Image and Graphics is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 1,217 works, 6,894 citations and an h-index of 31.
1,217
Works
6,894
Citations
31
h-index
IDs:OpenAlex
What are the most-cited papers on International Journal of Image and Graphics?
ScholarIQmost cited works
Extraction of Multiple Diseases in Apple Leaf Using Machine Learning
Swati Singh, Sheifali Gupta, Ankush Tanta, Rupesh Gupta
International Journal of Image and Graphics. 202153 Citations
Analysis on Mental Stress of Professionals and Pregnant Women Using Machine Learning Techniques
S Ravikumar, E. Kannan
International Journal of Image and Graphics. 202218 Citations
Locust Mayfly Optimization-Tuned Neural Network for AI-Based Pruning in Chess Game
Vikrant Chole, Vijay B. Gadicha
International Journal of Image and Graphics. 20226 Citations
An Intelligent Ensemble Deep Learning Techniques with Improved Owl Search Algorithm–Aided Optimal Feature Selection for Predicting the Presence of Heart Diseases
Deepak Yashwantrao Bhadane, Indrabhan S. Borse
International Journal of Image and Graphics. 20252 Citations
A Novel Hybrid Convolution and Multiscale Dilated EfficientNetB7-Based Plant Disease Detection and Classification with Adaptive Segmentation Procedures
Manesh P. Patil, Indrabhan S. Borse
International Journal of Image and Graphics. 20251 Citations
Related on ScholarIQ
Extraction of Multiple Diseases in Apple Leaf Using Machine Learning
Paper
Analysis on Mental Stress of Professionals and Pregnant Women Using Machine Learning Techniques
Paper
Locust Mayfly Optimization-Tuned Neural Network for AI-Based Pruning in Chess Game
Paper
An Intelligent Ensemble Deep Learning Techniques with Improved Owl Search Algorithm–Aided Optimal Feature Selection for Predicting the Presence of Heart Diseases
Paper
A Novel Hybrid Convolution and Multiscale Dilated EfficientNetB7-Based Plant Disease Detection and Classification with Adaptive Segmentation Procedures
Paper
Image Retrieval and Classification Techniques
Topic