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About the database ScholarIQanswers from OpenAlex & ORCID
How has Syed Asif Ahmad Qadri's publication output changed over time?
ScholarIQpublication output · 2019–2026
Output declined50% over the shown period — from 2 works in 2019 to 1 in 2026.
2
1
2
1
4
1
201920202021202320242026
What are the most-cited papers on Syed Asif Ahmad Qadri?
ScholarIQmost cited works
A Comprehensive Review of Speech Emotion Recognition Systems
Taiba Majid Wani, Teddy Surya Gunawan, Syed Asif Ahmad Qadri, Mira Kartiwi, Eliathamby Ambikairajah
IEEE Access. 2021355 CitationsOPEN ACCESS
Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches
Syed Asif Ahmad Qadri, Nen‐Fu Huang, Taiba Majid Wani, Showkat Ahmad Bhat
S34881539. 202475 Citations
Speech Emotion Recognition using Convolution Neural Networks and Deep Stride Convolutional Neural Networks
Taiba Majid Wani, Teddy Surya Gunawan, Syed Asif Ahmad Qadri, Hasmah Mansor, Mira Kartiwi, Nanang Ismail
202048 Citations
Plant Disease Detection and Segmentation using End-to-End YOLOv8: A Comprehensive Approach
Syed Asif Ahmad Qadri, Nen‐Fu Huang, Taiba Majid Wani, Showkat Ahmad Bhat
202339 Citations
Impact of crop management practices on maize yield: Insights from farming in tropical regions and predictive modeling using machine learning
Showkat Ahmad Bhat, Syed Asif Ahmad Qadri, Vijay Dubbey, Ishfaq Bashir Sofi, Nen‐Fu Huang
Journal of Agriculture and Food Research. 202422 CitationsOPEN ACCESS
Related on ScholarIQ
National Tsing Hua University
Institution
A Comprehensive Review of Speech Emotion Recognition Systems
Paper
Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches
Paper
Speech Emotion Recognition using Convolution Neural Networks and Deep Stride Convolutional Neural Networks
Paper
Plant Disease Detection and Segmentation using End-to-End YOLOv8: A Comprehensive Approach
Paper
Impact of crop management practices on maize yield: Insights from farming in tropical regions and predictive modeling using machine learning
Paper