Xin Dai

508 total citations
27 papers, 327 citations indexed

About

Xin Dai is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Xin Dai has authored 27 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Atomic and Molecular Physics, and Optics and 5 papers in Materials Chemistry. Recurrent topics in Xin Dai's work include Graphene research and applications (4 papers), Advanced Neural Network Applications (4 papers) and Medical Image Segmentation Techniques (3 papers). Xin Dai is often cited by papers focused on Graphene research and applications (4 papers), Advanced Neural Network Applications (4 papers) and Medical Image Segmentation Techniques (3 papers). Xin Dai collaborates with scholars based in China, United States and Hong Kong. Xin Dai's co-authors include Hai‐Zhou Lu, Z. Z. Du, Hong Yao, Xiangnan Kong, Tian Guo, Shun-Qing Shen, Shinjae Yoo, Xiao‐Na Guo, Zhou Su and Wei Peng and has published in prestigious journals such as Physical Review Letters, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Xin Dai

25 papers receiving 312 citations

Peers

Xin Dai

AMPO

CMP

CVPR

Florian Geißler Germany

Cory Stephenson United States

Jian Ren China

Mitko Gospodinov Bulgaria

Jianing Lu China

I. Grosu Romania

Sungmeen Myung South Korea

Punyashloka Debashis United States

Daniel Vaquero United States

Thomas Förster Germany

Florian Geißler Germany

Xin Dai

133 ×0.9

AMPO

70 ×0.7

37 ×0.7

41 ×0.9

CMP

12 ×0.3

CVPR

Citations per year, relative to Xin Dai Xin Dai (= 1×) peers Florian Geißler

Countries citing papers authored by Xin Dai

Since Specialization

Citations

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

Fields of papers citing papers by Xin Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Dai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dai, Xin, et al.. (2025). Predicting Metal-binding Proteins and Structures Through Integration of Evolutionary-scale and Physics-based Modeling. Journal of Molecular Biology. 437(6). 168962–168962. 2 indexed citations

Yang, Jiaojiao, et al.. (2024). Stress reduction through cortical bone thickening improves bone mechanical behavior in adult female Beclin-1+/− mice. Frontiers in Bioengineering and Biotechnology. 12. 1357686–1357686. 2 indexed citations

Dai, Xin, Tzu-Chieh Wei, Shinjae Yoo, & Samuel Yen-Chi Chen. (2024). Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. 1525–1534. 10 indexed citations

Wu, Mengmeng, Tiantian Liu, Xin Dai, et al.. (2024). HMDA: A Hybrid Model With Multi-Scale Deformable Attention for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(2). 1243–1255. 3 indexed citations

Dai, Xin, Longlong Wu, Shinjae Yoo, & Qun Liu. (2023). Integrating AlphaFold and deep learning for atomistic interpretation of cryo-EM maps. Briefings in Bioinformatics. 24(6). 11 indexed citations

Su, Zhou, et al.. (2023). All-optical image edge detection based on the two-dimensional photonic spin Hall effect in anisotropic metamaterial. Optics Express. 31(4). 6062–6062. 26 indexed citations

Dai, Xin, Ji Hwan Park, Shinjae Yoo, et al.. (2022). Survival analysis of localized prostate cancer with deep learning. Scientific Reports. 12(1). 17821–17821. 9 indexed citations

Li, Yanling, Xin Dai, Huawang Wu, & Lijie Wang. (2021). Establishment of Effective Biomarkers for Depression Diagnosis With Fusion of Multiple Resting-State Connectivity Measures. Frontiers in Neuroscience. 15. 729958–729958. 13 indexed citations

Long, Saiqin, Xin Dai, Tingrui Pei, et al.. (2021). Energy-efficient VM opening algorithms for real-time workflows in heterogeneous clouds. Neurocomputing. 483. 501–514. 2 indexed citations

10.

Dai, Xin, Xin Zhao, Dongshan Wei, et al.. (2021). Preparation, Characterization, and Terahertz Spectroscopy Characteristics of Reduced Graphene Oxide-Doped Epoxy Resin Coating. Coatings. 11(12). 1503–1503. 10 indexed citations

11.

Dai, Xin, et al.. (2021). FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. 322–331. 2 indexed citations

12.

Gao, Jingjing, Min Zeng, Xin Dai, et al.. (2020). Functional Segregation of the Middle Temporal Visual Motion Area Revealed With Coactivation-Based Parcellation. Frontiers in Neuroscience. 14. 427–427. 8 indexed citations

13.

Zhang, Jin, Xiaoyan Yu, Xin Dai, & Mian Huang. (2020). Goos-Hänchen shifts at the anisotropic two-dimensional atomic crystals interface. 15. 118–118.

14.

Dai, Xin, et al.. (2019). A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering. 1–8. 1 indexed citations

15.

Li, Fanzhang, et al.. (2019). A Matrix-Decomposition-Based Context Tensor Approach for Personalized Travel Time Estimation. 6. 258–265. 1 indexed citations

16.

Dai, Xin, Shao-Kai Jian, & Hong Yao. (2019). Global phase diagram of the one-dimensional Sachdev-Ye-Kitaev model at finite N. Physical review. B.. 100(23). 7 indexed citations

17.

Dai, Xin, Z. Z. Du, & Hai‐Zhou Lu. (2017). Negative Magnetoresistance without Chiral Anomaly in Topological Insulators. Physical Review Letters. 119(16). 166601–166601. 85 indexed citations

18.

Dai, Xin, Cheng‐Lin Liu, & Fei Liu. (2017). Consensus protocol based on distributed model predictive control for first-order multi-agent systems. 27. 982–987. 2 indexed citations

19.

Tu, Xiaoguang, et al.. (2016). MR image segmentation and bias field estimation based on coherent local intensity clustering with total variation regularization. Medical & Biological Engineering & Computing. 54(12). 1807–1818. 15 indexed citations

20.

Dai, Xin, Hai‐Zhou Lu, Shun-Qing Shen, & Hong Yao. (2016). Detecting monopole charge in Weyl semimetals via quantum interference transport. Physical review. B.. 93(16). 35 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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