Shuyang Dai

2.1k total citations
66 papers, 1.4k citations indexed

About

Shuyang Dai is a scholar working on Pulmonary and Respiratory Medicine, Materials Chemistry and Surgery. According to data from OpenAlex, Shuyang Dai has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 12 papers in Materials Chemistry and 11 papers in Surgery. Recurrent topics in Shuyang Dai's work include Microstructure and mechanical properties (7 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Shuyang Dai is often cited by papers focused on Microstructure and mechanical properties (7 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Shuyang Dai collaborates with scholars based in China, United States and Hong Kong. Shuyang Dai's co-authors include David J. Srolovitz, Yang Xiang, Jiarui Yang, Quanshui Zheng, Wen Wang, Xide Li, Yijie Xia, Jian Han, Songsong Zhou and Jianwei Sun and has published in prestigious journals such as Nature Communications, Nano Letters and Bioinformatics.

In The Last Decade

Shuyang Dai

61 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuyang Dai China 18 704 237 197 178 174 66 1.4k
Takayuki Uchida Japan 24 733 1.0× 135 0.6× 511 2.6× 280 1.6× 66 0.4× 213 2.3k
Jun Xin China 24 347 0.5× 79 0.3× 317 1.6× 161 0.9× 134 0.8× 125 1.9k
Tatsuya Okada Japan 24 688 1.0× 317 1.3× 484 2.5× 244 1.4× 92 0.5× 202 2.3k
Yaguo Wang United States 27 894 1.3× 416 1.8× 613 3.1× 156 0.9× 56 0.3× 82 1.8k
Shigeo Sato Japan 19 449 0.6× 241 1.0× 443 2.2× 198 1.1× 26 0.1× 142 1.8k
Makoto Kano Japan 21 684 1.0× 177 0.7× 59 0.3× 380 2.1× 102 0.6× 137 1.9k
Shin Nakamura Japan 22 424 0.6× 53 0.2× 289 1.5× 390 2.2× 89 0.5× 138 1.9k
Uğur Topal Türkiye 20 458 0.7× 126 0.5× 183 0.9× 46 0.3× 117 0.7× 97 1.2k
Xinghua Zhu China 30 1.2k 1.6× 125 0.5× 975 4.9× 272 1.5× 105 0.6× 197 2.5k
Chih‐Ju Chang Taiwan 18 555 0.8× 211 0.9× 537 2.7× 206 1.2× 39 0.2× 69 1.7k

Countries citing papers authored by Shuyang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shuyang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shuyang Dai. A scholar is included among the top collaborators of Shuyang Dai 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 Shuyang Dai. Shuyang Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Ran, Lulu Xie, Rui Wang, et al.. (2025). Integration of single-nuclei and spatial transcriptomics to decipher tumor phenotype predictive of relapse-free survival in Wilms tumor. Frontiers in Immunology. 16. 1539897–1539897.
2.
Fan, Qingkun, Xiaoyuan Zhang, Lewei Zhao, et al.. (2024). Optimizing linear energy transfer distribution in intensity-modulated proton therapy using the alternating direction method of multipliers. Frontiers in Oncology. 14. 1328147–1328147. 2 indexed citations
3.
Li, Heng, Bin Qin, Shuyang Dai, et al.. (2024). Feasibility study of multiple‐energy Bragg peak proton FLASH on a superconducting gantry with large momentum acceptance. Medical Physics. 51(3). 2164–2174. 7 indexed citations
4.
Fan, Qingkun, Lewei Zhao, Xiaoqiang Li, et al.. (2024). Optimizing spot‐scanning proton arc therapy with a novel spot sparsity approach. Medical Physics. 52(3). 1789–1797.
6.
Xie, Xiufeng, Yan Zhao, Fang Liu, et al.. (2023). BACH1-induced ferroptosis drives lymphatic metastasis by repressing the biosynthesis of monounsaturated fatty acids. Cell Death and Disease. 14(1). 48–48. 36 indexed citations
7.
Zhao, Lewei, Xiaoqiang Li, Sheng Zhang, et al.. (2023). A Novel Ultrahigh-Dose-Rate Proton Therapy Technology: Spot-Scanning Proton Arc Therapy + FLASH (SPLASH). International Journal of Radiation Oncology*Biology*Physics. 117(3). 730–737. 10 indexed citations
8.
Ma, Yuhao, et al.. (2023). MiT family translocation renal cell carcinoma with retroperitoneal metastasis in childhood: a case report. Frontiers in Pediatrics. 11. 1141223–1141223.
9.
Dai, Shuyang, et al.. (2022). ARIMA-FEM Method with Prediction Function to Solve the Stress–Strain of Perforated Elastic Metal Plates. Metals. 12(2). 179–179. 4 indexed citations
10.
Hong, Bo, Yi Li, Ran Yang, et al.. (2022). Single-cell transcriptional profiling reveals heterogeneity and developmental trajectories of Ewing sarcoma. Journal of Cancer Research and Clinical Oncology. 148(12). 3267–3280. 13 indexed citations
11.
Dai, Shuyang, et al.. (2021). On the Cauchy-Born approximation at finite temperature for alloys. Discrete and Continuous Dynamical Systems - B. 27(6). 3131–3131. 1 indexed citations
12.
Xia, Yijie & Shuyang Dai. (2020). Review on applications of PEDOTs and PEDOT:PSS in perovskite solar cells. Journal of Materials Science Materials in Electronics. 32(10). 12746–12757. 94 indexed citations
13.
Tao, Chenyang, Liqun Chen, Shuyang Dai, et al.. (2019). On Fenchel Mini-Max Learning. Neural Information Processing Systems. 32. 10427–10439. 1 indexed citations
14.
Tao, Chenyang, Shuyang Dai, Liqun Chen, et al.. (2019). Variational annealing of GANs: A Langevin perspective. International Conference on Machine Learning. 6176–6185. 1 indexed citations
15.
Chen, Li‐Qun, Shuyang Dai, Yunchen Pu, et al.. (2018). Symmetric Variational Autoencoder and Connections to Adversarial Learning. International Conference on Artificial Intelligence and Statistics. 661–669. 12 indexed citations
16.
Pu, Yunchen, Shuyang Dai, Zhe Gan, et al.. (2018). JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. International Conference on Machine Learning. 4151–4160. 3 indexed citations
17.
Chen, Li‐Qun, Shuyang Dai, Chenyang Tao, et al.. (2018). Adversarial Text Generation via Feature-Mover's Distance. arXiv (Cornell University). 31. 4666–4677. 24 indexed citations
18.
Gu, Yejun, Jian Han, Shuyang Dai, et al.. (2017). Point defect sink efficiency of low-angle tilt grain boundaries. Journal of the Mechanics and Physics of Solids. 101. 166–179. 18 indexed citations
19.
Dai, Shuyang, Wanqing Chen, Changfa Xia, et al.. (2017). Environmental factors, seven GWAS‐identified susceptibility loci, and risk of gastric cancer and its precursors in a Chinese population. Cancer Medicine. 6(3). 708–720. 35 indexed citations
20.
Wang, Wen, Shuyang Dai, Xide Li, et al.. (2015). Measurement of the cleavage energy of graphite. Nature Communications. 6(1). 7853–7853. 288 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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