Waste Sorting Technologies
Waste Sorting Technologies is a systematic approach within waste management that employs mechanical, optical, or artificial intelligence-driven methods to differentiate and categorize post-consumer waste streams according to material composition, contamination level, and recyclability to enable efficient resource recovery and reduce environmental pollution.
182
Publications
7.9K
Citations
606
Authors
256
Institutions
Publications per year
2017–2026
132
182
Recyclable waste image recognition based on deep learning
Qiang Zhang, Xujuan Zhang, Xiaojun Mu et al. · Resources Conservation and Recycling · 2021 · 172 citations
1–5 of 182
606
4
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4
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4
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3
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3
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1–5 of 606
256
State Key Laboratory of Pollution Control and Resource Reuse
Nanjing, China
6 h-index
18 publications
726 citations
Montanuniversität Leoben
Leoben, Austria
5 h-index
13 publications
278 citations
Tongji University
Shanghai, China
5 h-index
17 publications
691 citations
RWTH Aachen University
Aachen, Germany
4 h-index
13 publications
441 citations
University of Florida
Gainesville, United States
4 h-index
7 publications
497 citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
4 h-index
9 publications
300 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
16 publications
1.5K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
4 h-index
9 publications
958 citations
1–8 of 256
20 publications · 1.2K citations
19
h-index
15 publications · 1.3K citations
14
h-index
11 publications · 314 citations
11
h-index
8 publications · 697 citations
9
h-index
4 publications · 224 citations
4
h-index
1–5