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Gianmarc Coppola
ResearcherPublications, citations & collaboration network
Gianmarc Coppola is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 32 works, 1,115 citations, an h-index of 15 and an i10-index of 18.
32
Works
1,115
Citations
15
h-index
18
i10-index
IDs:OpenAlex
How has Gianmarc Coppola's publication output changed over time?
ScholarIQpublication output · 2010–2019
Output grew200% over the shown period — from 1 works in 2010 to 3 in 2019.
1
1
1
1
1
2
3
2010201320142016201720182019
What are the most-cited papers on Gianmarc Coppola?
ScholarIQmost cited works
PD2SE-Net: Computer-assisted plant disease diagnosis and severity estimation network
Qiaokang Liang, Shao Xiang, Yucheng Hu, Gianmarc Coppola, Dan Zhang, Wei Sun
Computers and Electronics in Agriculture. 2019239 Citations
Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging
Peng Tang, Qiaokang Liang, Xintong Yan, Shao Xiang, Wei Sun, Dan Zhang, Gianmarc Coppola
Computer Methods and Programs in Biomedicine. 2019188 Citations
A 6-DOF reconfigurable hybrid parallel manipulator
Gianmarc Coppola, Dan Zhang, Kefu Liu
Robotics and Computer-Integrated Manufacturing. 201388 Citations
Multi-Dimensional MEMS/Micro Sensor for Force and Moment Sensing: A Review
Qiaokang Liang, Dan Zhang, Gianmarc Coppola, Yaonan Wang, Wei Sun, Yunjian Ge
IEEE Sensors Journal. 201480 Citations
Multi-Component FBG-Based Force Sensing Systems by Comparison With Other Sensing Technologies: A Review
Qiaokang Liang, Kunlin Zou, Jianyong Long, Jing Jin, Dan Zhang, Gianmarc Coppola, Wei Sun, Yaonan Wang, Yunjian Ge
IEEE Sensors Journal. 201869 Citations
Related on ScholarIQ
Ontario Tech University
Institution
PD2SE-Net: Computer-assisted plant disease diagnosis and severity estimation network
Paper
Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging
Paper
A 6-DOF reconfigurable hybrid parallel manipulator
Paper
Multi-Dimensional MEMS/Micro Sensor for Force and Moment Sensing: A Review
Paper
Multi-Component FBG-Based Force Sensing Systems by Comparison With Other Sensing Technologies: A Review
Paper