Rui Cai

6.0k citations
162 papers · 4.4k · h-index 38

Impact in

    • Silk-based biomaterials and applications
    • Electrospun Nanofibers in Biomedical Applications
    • Wound Healing and Treatments

Papers in

Rui Cai

157 papers receiving 4.2k citations

Peers

Rui Cai
Comparison fields: 5 of 188
  • Biomaterials 1.0k
  • Rehabilitation 361
  • Signal Processing 405
  • Computer Vision and Pattern Recognition 759
  • Molecular Medicine 132
Replace Xuying Liu with:
Xuying Liu China
Fan Li China
Yugyung Lee United States
Donghui Wang China
Ziyang Liu China
Shiming Zhang China
Yi Shen China
Xudong Xie China
Jie Xiong China
Wei Cheng China
Rui Cai relative to Xuying Liu China Xuying Liu's profile →
Citations per field
00.5×5.5×
Xuying Liu · 1×
Citations per year

Countries citing papers authored by Rui Cai

Since Specialization
Citations

This map shows the geographic impact of Rui Cai'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 Rui Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Cai more than expected).

Fields of papers citing papers by Rui Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rui Cai. 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 Rui Cai. The network helps show where Rui Cai may publish in the future.

Co-authors

The 25 scholars most cited alongside Rui Cai, 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 Rui Cai Line = papers co-authored together Rui Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019191
2 2017157
3 2017144
4 2016140
5 2019137
6 2020133
7 2019124
8 2010121
9 2017110
10 2015109
11 2021104
12 2006101
13 201077
14 201875
15 202073
16 202172
17 200765
18 200961
19 201959
20 202158

About Rui Cai

Rui Cai is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Biomaterials, Materials Chemistry and Artificial Intelligence, having authored 162 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (20 papers), Silk-based biomaterials and applications (16 papers), Video Analysis and Summarization (15 papers), Advanced Nanomaterials in Catalysis (15 papers), Music and Audio Processing (13 papers), Robotics and Sensor-Based Localization (10 papers), Nanoplatforms for cancer theranostics (10 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Biomaterials (1.0k citations), Rehabilitation (361 citations), Signal Processing (405 citations), Computer Vision and Pattern Recognition (759 citations) and Molecular Medicine (132 citations). Rui Cai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hua Zuo, Huawei He, Ping Zhao, Gang Tao, Yejing Wang, Zhiwei Li, Yejing Wang, Yanhua Cheng, Jiang-Ming Yang and Qiang Hao. Their work appears in journals such as Nanoscale, Materials Science and Engineering C, International Journal of Biological Macromolecules, Materials and Molecules.

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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