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L. Minh Dang

ResearcherPublications, citations & collaboration network

L. Minh Dang is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 95 works, 3,945 citations, an h-index of 30 and an i10-index of 52.

95
Works
3,945
Citations
30
h-index
52
i10-index

How has L. Minh Dang's publication output changed over time?

ScholarIQpublication output · 2018–2022

Output grew100% over the shown period — from 1 works in 2018 to 2 in 2022.

1
4
3
2
2018201920202022

What are the most-cited papers on L. Minh Dang?

ScholarIQmost cited works
Sensor-based and vision-based human activity recognition: A comprehensive survey
L. Minh Dang, Kyungbok Min, Hanxiang Wang, Md. Jalil Piran, Cheol Hee Lee, Hyeonjoon Moon
S414566. 2020702 Citations
A Survey on Internet of Things and Cloud Computing for Healthcare
L. Minh Dang, Md. Jalil Piran, Dongil Han, Kyungbok Min, Hyeonjoon Moon
Electronics. 2019637 CitationsOPEN ACCESS
Crop pest recognition in natural scenes using convolutional neural networks
Yanfen Li, Hanxiang Wang, L. Minh Dang, Abolghasem Sadeghi‐Niaraki, Hyeonjoon Moon
Computers and Electronics in Agriculture. 2020242 Citations
Underground sewer pipe condition assessment based on convolutional neural networks
Syed Ibrahim Hassan, L. Minh Dang, Irfan Mehmood, Suhyeon Im, Chang-Ho Choi, Jae‐Mo Kang, Young-Soo Park, Hyeonjoon Moon
S172073041. 2019210 Citations
A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving
Yanfen Li, Hanxiang Wang, L. Minh Dang, Tan N. Nguyen, Dongil Han, Ahyun Lee, In‐Sung Jang, Hyeonjoon Moon
IEEE Access. 2020155 CitationsOPEN ACCESS

Related on ScholarIQ

Duy Tan University
Institution
Sensor-based and vision-based human activity recognition: A comprehensive survey
Paper
A Survey on Internet of Things and Cloud Computing for Healthcare
Paper
Crop pest recognition in natural scenes using convolutional neural networks
Paper
Underground sewer pipe condition assessment based on convolutional neural networks
Paper
A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving
Paper
470M+ articles · free account