Yin Dai

713 total citations · 1 hit paper
14 papers, 455 citations indexed

About

Yin Dai is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yin Dai has authored 14 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Yin Dai's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Image and Signal Denoising Methods (3 papers) and Advanced Image Fusion Techniques (3 papers). Yin Dai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Image and Signal Denoising Methods (3 papers) and Advanced Image Fusion Techniques (3 papers). Yin Dai collaborates with scholars based in China and United Kingdom. Yin Dai's co-authors include Yifan Gao, Fayu Liu, Xin Wang, Yuyi Wang, Zheng Tang, Yang Wang, Weibing Chen, Weibin Liu, Fayu Liu and Lu Xu and has published in prestigious journals such as IEEE Access, Medical Physics and Applied Sciences.

In The Last Decade

Yin Dai

14 papers receiving 443 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TransMed: Transformers Advance Multi-Modal Medical Image Classification

2021 260 citations Yin Dai, Yifan Gao et al. Diagnostics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yin Dai China	9	214	162	156	78	62	14	455
K. Balasamy India	9	265 1.2×	162 1.0×	177 1.1×	97 1.2×	66 1.1×	19	610
V. Seethalakshmi India	8	118 0.6×	165 1.0×	142 0.9×	61 0.8×	67 1.1×	22	472
Pedro Costa Portugal	12	265 1.2×	166 1.0×	360 2.3×	30 0.4×	49 0.8×	21	596
Tianyu Shi China	9	168 0.8×	153 0.9×	207 1.3×	89 1.1×	47 0.8×	16	405
Kongming Liang China	10	203 0.9×	169 1.0×	92 0.6×	20 0.3×	41 0.7×	36	378
Haseeb Hassan China	13	151 0.7×	93 0.6×	166 1.1×	35 0.4×	58 0.9×	45	514
Arnaldo Mayer Israel	13	256 1.2×	107 0.7×	222 1.4×	64 0.8×	100 1.6×	45	584
Irena Galić Croatia	12	197 0.9×	108 0.7×	139 0.9×	21 0.3×	64 1.0×	53	431
Christoph Baur Germany	5	143 0.7×	322 2.0×	197 1.3×	52 0.7×	36 0.6×	8	458
Rongchang Zhao China	15	367 1.7×	128 0.8×	554 3.6×	45 0.6×	54 0.9×	41	767

Countries citing papers authored by Yin Dai

Since Specialization

Citations

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

Fields of papers citing papers by Yin Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Dai. A scholar is included among the top collaborators of Yin 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 Yin Dai. Yin 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:

14 of 14 papers shown

1.

Dai, Yin, et al.. (2024). Swin MoCo: Improving parotid gland MRI segmentation using contrastive learning. Medical Physics. 51(8). 5295–5307. 3 indexed citations

2.

Dai, Yin, et al.. (2024). VTCNet: A Feature Fusion DL Model Based on CNN and ViT for the Classification of Cervical Cells. International Journal of Imaging Systems and Technology. 34(5). 3 indexed citations

3.

Dai, Yin, et al.. (2024). DesTrans: A medical image fusion method based on Transformer and improved DenseNet. Computers in Biology and Medicine. 174. 108463–108463. 12 indexed citations

4.

Gao, Yifan, et al.. (2023). An anatomy-aware framework for automatic segmentation of parotid tumor from multimodal MRI. Computers in Biology and Medicine. 161. 107000–107000. 5 indexed citations

5.

Dai, Yin, et al.. (2023). Swin MAE: Masked autoencoders for small datasets. Computers in Biology and Medicine. 161. 107037–107037. 22 indexed citations

6.

Dai, Yin, et al.. (2021). Multi-Focus Image Fusion Based on Convolution Neural Network for Parkinson’s Disease Image Classification. Diagnostics. 11(12). 2379–2379. 17 indexed citations

7.

Dai, Yin, et al.. (2021). Computer-Aided Diagnosis of Alzheimer’s Disease via Deep Learning Models and Radiomics Method. Applied Sciences. 11(17). 8104–8104. 7 indexed citations

8.

Dai, Yin, Yifan Gao, & Fayu Liu. (2021). TransMed: Transformers Advance Multi-Modal Medical Image Classification. Diagnostics. 11(8). 1384–1384. 260 indexed citations breakdown →

9.

Dai, Yin, et al.. (2019). Data Driven Intelligent Diagnostics for Parkinson’s Disease. IEEE Access. 7. 106941–106950. 26 indexed citations

10.

Dai, Yin, et al.. (2017). The application of multi-modality medical image fusion based method to cerebral infarction. EURASIP Journal on Image and Video Processing. 2017(1). 9 indexed citations

11.

Teng, Yueyang, Shouliang Qi, Yin Dai, et al.. (2016). Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction. Neural Processing Letters. 45(3). 1063–1076. 3 indexed citations

12.

Dai, Yin, et al.. (2016). Research on medical image encryption in telemedicine systems. Technology and Health Care. 24(s2). S435–S442. 22 indexed citations

13.

Dai, Yin, et al.. (2016). Chaotic Medical Image Encryption Algorithm Based on Bit-Plane Decomposition. International Journal of Pattern Recognition and Artificial Intelligence. 30(4). 1657001–1657001. 35 indexed citations

14.

Dai, Yin & Xin Wang. (2012). Medical image encryption based on a composition of Logistic Maps and Chebyshev Maps. 210–214. 31 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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