Ruirui Li

2.4k citations
107 papers · 1.7k · 1 hit paper · h-index 22

Impact in

Papers in

Ruirui Li

98 papers receiving 1.6k citations

Ruirui Li's Hit Papers

DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation 2018 · 284 citations
2840+2+5Years since publication50100150200250

Peers

Ruirui Li
Comparison fields: 5 of 158
  • Media Technology 241
  • Computer Vision and Pattern Recognition 340
  • Environmental Engineering 177
  • Ocean Engineering 174
  • Artificial Intelligence 359
Replace Jinglin Zhang with:
Jinglin Zhang China
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Nan Ye China
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Ruirui Li relative to Jinglin Zhang China Jinglin Zhang's profile →
Citations per field
00.5×1.5×2.3×
Jinglin Zhang · 1×
Citations per year

Countries citing papers authored by Ruirui Li

Since Specialization
Citations

This map shows the geographic impact of Ruirui Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ruirui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruirui Li more than expected).

Fields of papers citing papers by Ruirui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruirui Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ruirui Li. The network helps show where Ruirui Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Ruirui Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ruirui Li Line = papers co-authored together Ruirui Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation
Hit paper breakdown →
2018284
2 2019160
3 2021154
4 201591
5 202260
6 201848
7 201747
8 202045
9 201942
10 202339
11 202133
12 202028
13 202027
14 202325
15 202125
16 202124
17 201922
18 202022
19 201822
20 202022

About Ruirui Li

Ruirui Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Molecular Biology and Signal Processing, having authored 107 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (7 papers), Speech Recognition and Synthesis (6 papers), Remote Sensing and LiDAR Applications (5 papers), Parasitic infections in humans and animals (5 papers), Speech and Audio Processing (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). The work is most often cited by research in Media Technology (241 citations), Computer Vision and Pattern Recognition (340 citations), Environmental Engineering (177 citations), Ocean Engineering (174 citations) and Artificial Intelligence (359 citations). Ruirui Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Li, Fan Zhang, Lei Yang, Shihao Sun, Wenjie Liu, Wei Wang, Wei Hu, Xiang Wu, Yongting Zhang and Naixue Xiong. Their work appears in journals such as Medicine, Journal of Environmental Management, The Journal of Organic Chemistry, Journal of Agricultural and Food Chemistry and Frontiers in Veterinary Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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