Renjun Shuai

415 total citations
10 papers, 301 citations indexed

About

Renjun Shuai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Renjun Shuai has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Oncology. Recurrent topics in Renjun Shuai's work include AI in cancer detection (6 papers), Cutaneous Melanoma Detection and Management (3 papers) and Cell Image Analysis Techniques (3 papers). Renjun Shuai is often cited by papers focused on AI in cancer detection (6 papers), Cutaneous Melanoma Detection and Management (3 papers) and Cell Image Analysis Techniques (3 papers). Renjun Shuai collaborates with scholars based in China. Renjun Shuai's co-authors include Li Ma, Wenjia Liu, Menglin Wu, Die Hu, Ping Chen, Kaikai Liu, Huiying Wu, Jing Pan and Ping Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Heat Transfer.

In The Last Decade

Renjun Shuai

9 papers receiving 296 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Renjun Shuai China 8 153 140 86 60 36 10 301
Aaron Loh United States 3 227 1.5× 86 0.6× 189 2.2× 36 0.6× 14 0.4× 3 375
Hongchun Lu China 8 123 0.8× 169 1.2× 98 1.1× 21 0.3× 19 0.5× 13 307
Zhineng Chen China 10 135 0.9× 236 1.7× 142 1.7× 40 0.7× 22 0.6× 29 408
Min Beom Lee South Korea 8 146 1.0× 175 1.3× 153 1.8× 30 0.5× 8 0.2× 11 376
T. Shanthi India 7 108 0.7× 142 1.0× 202 2.3× 65 1.1× 22 0.6× 10 425
Ibtissam Bakkouri Morocco 8 150 1.0× 115 0.8× 94 1.1× 59 1.0× 19 0.5× 11 348
Menglin Wu China 10 110 0.7× 84 0.6× 181 2.1× 56 0.9× 37 1.0× 17 327
Ramesh Sunder Nayak Pakistan 7 148 1.0× 111 0.8× 78 0.9× 118 2.0× 38 1.1× 8 304
Rajeev Kumar Singh India 9 132 0.9× 60 0.4× 138 1.6× 25 0.4× 30 0.8× 25 380

Countries citing papers authored by Renjun Shuai

Since Specialization
Citations

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

Fields of papers citing papers by Renjun Shuai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renjun Shuai

This figure shows the co-authorship network connecting the top 25 collaborators of Renjun Shuai. A scholar is included among the top collaborators of Renjun Shuai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renjun Shuai. Renjun Shuai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Shuai, Renjun, et al.. (2022). Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT. Multimedia Tools and Applications. 81(17). 24265–24300. 44 indexed citations
2.
Shuai, Renjun, et al.. (2022). Segmentation of skin lesions image based on U-Net + +. Multimedia Tools and Applications. 81(6). 8691–8717. 19 indexed citations
3.
Shuai, Renjun, et al.. (2021). Segmentation of dermoscopy images based on deformable 3D convolution and ResU-NeXt + +. Medical & Biological Engineering & Computing. 59(9). 1815–1832. 13 indexed citations
4.
Shuai, Renjun, et al.. (2021). Dermoscopy Image Classification Based on StyleGAN and DenseNet201. IEEE Access. 9. 8659–8679. 75 indexed citations
5.
Liu, Kaikai, et al.. (2021). Cells image generation method based on VAE-SGAN. Procedia Computer Science. 183. 589–595. 15 indexed citations
6.
Ma, Li, et al.. (2020). Combining DC-GAN with ResNet for blood cell image classification. Medical & Biological Engineering & Computing. 58(6). 1251–1264. 103 indexed citations
7.
Shuai, Renjun, et al.. (2018). Optic disc localization algorithm based on improved corner detection. Procedia Computer Science. 131. 311–319. 19 indexed citations
8.
Shuai, Renjun, et al.. (2017). Prediction of Postpartum Hemorrhage Volume of Pregnant Women Based on GA-SVM Algorithm. SHILAP Revista de lepidopterología. 11. 1005–1005.
9.
Shuai, Renjun, et al.. (2015). An Algorithm for Medical Imagining Compression That Is Oriented to ROI-Characteristics Protection. Journal of Applied Mathematics and Physics. 3(7). 854–861. 1 indexed citations
10.
Wu, Huiying, et al.. (1999). An Analytical Model for Decaying Swirl Flow and Heat Transfer Inside a Tube. Journal of Heat Transfer. 122(1). 204–207. 12 indexed citations

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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