Zhenhui Dai

671 total citations
34 papers, 464 citations indexed

About

Zhenhui Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, Zhenhui Dai has authored 34 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Radiation and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Zhenhui Dai's work include Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Advanced Radiotherapy Techniques (12 papers). Zhenhui Dai is often cited by papers focused on Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Advanced Radiotherapy Techniques (12 papers). Zhenhui Dai collaborates with scholars based in China, Spain and United States. Zhenhui Dai's co-authors include Wei Yang, Linghong Zhou, Yongbao Li, Liming Zhong, Haiyan Du, Zhaoqiang Yun, Yanlin Chen, Xiaoxin Cui, Xiaowu Deng and Ting Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and IEEE Access.

In The Last Decade

Zhenhui Dai

31 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenhui Dai China 11 267 127 106 80 73 34 464
Liming Zhong China 12 303 1.1× 141 1.1× 30 0.3× 101 1.3× 81 1.1× 40 490
Steven Michiels Belgium 8 242 0.9× 91 0.7× 188 1.8× 87 1.1× 9 0.1× 16 443
Jianghong Xiao China 16 362 1.4× 121 1.0× 247 2.3× 149 1.9× 8 0.1× 48 689
Brent van der Heyden Netherlands 12 407 1.5× 211 1.7× 306 2.9× 60 0.8× 4 0.1× 33 591
Yothin Rakvongthai United States 11 267 1.0× 171 1.3× 24 0.2× 26 0.3× 5 0.1× 40 377
Jaehee Chun South Korea 12 323 1.2× 100 0.8× 230 2.2× 86 1.1× 3 0.0× 28 438
Xiaozhu Lin China 19 567 2.1× 290 2.3× 15 0.1× 111 1.4× 13 0.2× 72 922
Alireza Karimian Iran 12 212 0.8× 76 0.6× 93 0.9× 90 1.1× 7 0.1× 68 530
Chenyang Liu China 13 194 0.7× 60 0.5× 53 0.5× 40 0.5× 5 0.1× 44 434
Sascha Zelzer Germany 9 265 1.0× 133 1.0× 44 0.4× 21 0.3× 5 0.1× 12 480

Countries citing papers authored by Zhenhui Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhenhui Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhui Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenhui Dai. A scholar is included among the top collaborators of Zhenhui 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 Zhenhui Dai. Zhenhui 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.
Qiu, Gao, Zhenhui Dai, & Hua Zhang. (2024). An Application of Machine-Learning-Oriented Radiomics Model in Clear Cell Renal Cell Carcinoma (ccRCC) Early Diagnosis. British Journal of Hospital Medicine. 85(11). 1–19. 1 indexed citations
2.
3.
Cui, Xiaoxin, et al.. (2024). An all integer-based spiking neural network with dynamic threshold adaptation. Frontiers in Neuroscience. 18. 1449020–1449020. 2 indexed citations
4.
5.
Li, Lun, Jiawei Wang, Hanqing Liu, et al.. (2024). SPAT: FPGA-based Sparsity-Optimized Spiking Neural Network Training Accelerator with Temporal Parallel Dataflow. 1–5. 2 indexed citations
6.
7.
Liang, Xiaokun, Jingjing Dai, Lin Liu, et al.. (2023). An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation. Journal of Digital Imaging. 36(3). 923–931. 2 indexed citations
8.
Zhang, Kunpeng, Jia Liu, Qian Li, et al.. (2023). LGEANet: LSTM‐global temporal convolution‐external attention network for respiratory motion prediction. Medical Physics. 50(4). 1975–1989. 4 indexed citations
9.
Zhang, Yiwen, Liming Zhong, Hai Shu, et al.. (2022). Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk. IEEE Transactions on Artificial Intelligence. 4(5). 1246–1257. 7 indexed citations
10.
Dai, Zhenhui, Yiwen Zhang, Bailin Zhang, et al.. (2022). Multiscale Local Enhancement Deep Convolutional Networks for the Automated 3D Segmentation of Gross Tumor Volumes in Nasopharyngeal Carcinoma: A Multi-Institutional Dataset Study. Frontiers in Oncology. 12. 827991–827991. 8 indexed citations
11.
Dai, Zhenhui, Qiang He, Lin Zhu, et al.. (2022). Automatic prediction model for online diaphragm motion tracking based on optical surface monitoring by machine learning. Quantitative Imaging in Medicine and Surgery. 13(4). 2065–2080. 4 indexed citations
12.
Wang, Xuetao, Bailin Zhang, Lin Zhu, et al.. (2022). Synthetic CT generation from cone-beam CT using deep-learning for breast adaptive radiotherapy. SHILAP Revista de lepidopterología. 15(1). 275–282. 13 indexed citations
13.
Cui, Xiaoxin, Yi Zhong, Kefei Liu, et al.. (2021). A 64K-Neuron 64M-1b-Synapse 2.64pJ/SOP Neuromorphic Chip With All Memory on Chip for Spike-Based Models in 65nm CMOS. IEEE Transactions on Circuits & Systems II Express Briefs. 68(7). 2655–2659. 43 indexed citations
14.
Cui, Xiaoxin, Yi Zhong, Kefei Liu, et al.. (2021). A 28-nm 0.34-pJ/SOP Spike-Based Neuromorphic Processor for Efficient Artificial Neural Network Implementations. 1–5. 6 indexed citations
15.
16.
Li, Yongbao, et al.. (2020). Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases. Oral Oncology. 104. 104625–104625. 51 indexed citations
17.
Chen, Yanlin, Haiyan Du, Zhaoqiang Yun, et al.. (2020). Automatic Segmentation of Individual Tooth in Dental CBCT Images From Tooth Surface Map by a Multi-Task FCN. IEEE Access. 8. 97296–97309. 72 indexed citations
18.
Xie, Qingfeng, Shouhai Wu, Yuchao Feng, et al.. (2019). Neuroprotective Effect of Optimized Yinxieling Formula in 6-OHDA-Induced Chronic Model of Parkinson’s Disease through the Inflammation Pathway. Evidence-based Complementary and Alternative Medicine. 2019. 1–11. 10 indexed citations
19.
20.
Tang, Qing, Jingjing Wu, Yuqing Chen, et al.. (2016). Inter-regulation of IGFBP1 and FOXO3a unveils novel mechanism in ursolic acid-inhibited growth of hepatocellular carcinoma cells. Journal of Experimental & Clinical Cancer Research. 35(1). 59–59. 26 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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