Automated Author Profile

Long, ruyin

Jiangnan University

Current S-Index

0.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

13.5%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

FDPWaste: An image dataset for food-delivery packaging waste

Dataset Description:The FDPWaste dataset is meticulously curated for object detection tasks, consisting of 3,985 high-resolution images classified into nine distinct categories of food-delivery packaging waste: Plastic Box, Paper Box, Foil Box, Bio Box, Plastic Cup, Paper Cup, Box Lid, Cup Lid, and Other.As the paper is under review, the dataset needs to be kept confidential for the time being, here we only disclose part of the dataset. The full dataset will be updated after the acceptance of the article.Usage Policy:If you plan to use our data in a scientific analysis paper, we strongly recommend contacting us in advance to seek opinions, and consider our contributions in the acknowledgments or as co-authors.

Authors

  • Ma, Wanqi ;
  • Chen, Hong ;
  • Long, ruyin
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.16724098August 2025

FDPWaste: An image dataset for food-delivery packaging waste

Dataset Description:The FDPWaste dataset is meticulously curated for object detection tasks, consisting of 3,985 high-resolution images classified into nine distinct categories of food-delivery packaging waste: Plastic Box, Paper Box, Foil Box, Bio Box, Plastic Cup, Paper Cup, Box Lid, Cup Lid, and Other.As the paper is under review, the dataset needs to be kept confidential for the time being, here we only disclose part of the dataset. The full dataset will be updated after the acceptance of the article.Usage Policy:If you plan to use our data in a scientific analysis paper, we strongly recommend contacting us in advance to seek opinions, and consider our contributions in the acknowledgments or as co-authors.

Authors

  • Ma, Wanqi ;
  • Chen, Hong ;
  • Long, ruyin
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.16724099August 2025