Dan Guo

1.7k total citations
93 papers, 1.2k citations indexed

About

Dan Guo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Dan Guo has authored 93 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 13 papers in Electrical and Electronic Engineering and 9 papers in Molecular Biology. Recurrent topics in Dan Guo's work include Muscle activation and electromyography studies (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Stroke Rehabilitation and Recovery (6 papers). Dan Guo is often cited by papers focused on Muscle activation and electromyography studies (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Stroke Rehabilitation and Recovery (6 papers). Dan Guo collaborates with scholars based in China, Hong Kong and United States. Dan Guo's co-authors include Jiang Bian, Xuewen Cao, Wen Yang, Victor De Gruttola, Katharine Fernandez, Sharon G. Kujawa, M. Charles Liberman, Hong Xia, Yong-kuo Liu and Bo Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Chemical Communications.

In The Last Decade

Dan Guo

88 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Guo China 21 234 159 127 112 101 93 1.2k
Jong Min Choi South Korea 24 309 1.3× 179 1.1× 47 0.4× 204 1.8× 44 0.4× 94 1.6k
Jiajia Yang China 20 115 0.5× 444 2.8× 38 0.3× 71 0.6× 77 0.8× 202 1.5k
Jae Hoon Cho South Korea 28 339 1.4× 141 0.9× 42 0.3× 264 2.4× 137 1.4× 193 2.6k
Weirong Zhang China 27 41 0.2× 113 0.7× 92 0.7× 139 1.2× 15 0.1× 101 1.9k
Yongchao Li China 28 238 1.0× 182 1.1× 226 1.8× 24 0.2× 19 0.2× 190 3.0k
Lifang Zhou China 18 83 0.4× 74 0.5× 28 0.2× 70 0.6× 52 0.5× 121 1.2k
Xinshu Zhang China 23 235 1.0× 91 0.6× 147 1.2× 406 3.6× 6 0.1× 104 1.9k
Hui Dai China 22 79 0.3× 185 1.2× 236 1.9× 241 2.2× 14 0.1× 107 1.8k
Hideyuki Ando Japan 24 244 1.0× 709 4.5× 46 0.4× 134 1.2× 71 0.7× 185 2.1k

Countries citing papers authored by Dan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Dan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Guo. A scholar is included among the top collaborators of Dan Guo 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 Dan Guo. Dan Guo 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.
Zhang, Naiwen, Jing Wei, Jianjun Li, et al.. (2025). A multi-label deep residual shrinkage network for high-density surface electromyography decomposition in real-time. Journal of NeuroEngineering and Rehabilitation. 22(1). 106–106.
2.
Song, Jingyu, Jie Liu, Dan Guo, Huibo Li, & Shengjin Fan. (2024). Chidamide maintenance therapy after allo-HSCT in SET-NUP214 fusion positive T-ALL patients: A report of two cases. Transplant Immunology. 87. 102119–102119.
3.
Wang, Fei, Dan Guo, Kun Li, & Meng Wang. (2024). EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5345–5353. 16 indexed citations
4.
Zhang, Jie, Dan Guo, Limeng Zhang, Deping Li, & Baichuan Deng. (2024). Dietary Supplementation with Methylsulfonylmethane and Myo-Inosito Supports Hair Quality and Fecal Microbiome in Poodles. Animals. 14(24). 3643–3643. 2 indexed citations
5.
6.
Ye, Yufeng, Naiwen Zhang, Bingsheng Huang, et al.. (2024). Deep Learning Combined with Radiologist’s Intervention Achieves Accurate Segmentation of Hepatocellular Carcinoma in Dual-Phase Magnetic Resonance Images. BioMed Research International. 2024. 1–13. 3 indexed citations
7.
Guo, Dan, et al.. (2023). Bulk and interfacial properties of methane-heavy hydrocarbon mixtures. Energy. 284. 128679–128679. 4 indexed citations
8.
Guo, Dan, Limeng Zhang, Sufang Han, et al.. (2022). Effect of Dietary Methylsulfonylmethane Supplementation on Growth Performance, Hair Quality, Fecal Microbiota, and Metabolome in Ragdoll Kittens. Frontiers in Microbiology. 13. 838164–838164. 7 indexed citations
9.
Zou, Yujian, Junru Tian, Dan Guo, et al.. (2021). To explore the mechanism of tobacco addiction using structural and functional MRI: a preliminary study of the role of the cerebellum-striatum circuit. Brain Imaging and Behavior. 16(2). 834–842. 3 indexed citations
10.
Zhao, Junhao, et al.. (2020). An LSTM-Based Prediction Method for Lower Limb Intention Perception by Integrative Analysis of Kinect Visual Signal. Journal of Healthcare Engineering. 2020. 1–10. 21 indexed citations
11.
Guo, Dan, et al.. (2020). Using Eye Aspect Ratio to Enhance Fast and Objective Assessment of Facial Paralysis. Computational and Mathematical Methods in Medicine. 2020. 1–11. 9 indexed citations
12.
Wang, Jinke, et al.. (2020). A comprehensive hierarchical classification based on multi-features of breast DCE-MRI for cancer diagnosis. Medical & Biological Engineering & Computing. 58(10). 2413–2425. 5 indexed citations
13.
Luo, Liangping, et al.. (2017). Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI. Contrast Media & Molecular Imaging. 2017. 1–5. 23 indexed citations
14.
Xu, Peipei, et al.. (2017). Characteristics and mutation analysis of Ph-positive leukemia patients with T315I mutation receiving tyrosine kinase inhibitors. OncoTargets and Therapy. Volume 10. 4731–4738. 9 indexed citations
15.
Ding, Huijun, Qing He, Yongjin Zhou, Dan Guo, & Song Cui. (2017). An Individual Finger Gesture Recognition System Based on Motion-Intent Analysis Using Mechanomyogram Signal. Frontiers in Neurology. 8. 573–573. 12 indexed citations
16.
Guo, Dan, Zhi Hong Zhang, Xin Zeng, et al.. (2014). Synergetic Effects of Pulsed Electric Field and Ozone Treatments on the Degradation of High Molecular Weight Chitosan. International Journal of Food Engineering. 10(4). 775–784. 14 indexed citations
17.
Shen, Yuanyuan, et al.. (2014). Fluorescence imaging of Evans blue extravasation into mouse brain induced by low frequency ultrasound with microbubble. Bio-Medical Materials and Engineering. 24(6). 2831–2838. 12 indexed citations
18.
19.
Guo, Dan, et al.. (2010). The Study on Relationship between the Traits of Leaders and the Performance of the Leaders under Different Organizational Cultures. Canadian social science. 3(1). 39–46. 1 indexed citations
20.
Guo, Dan. (2010). A Multi-point Temperature Measurement and Control System Based on Virtual Instrument.

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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