Nan Mu

819 total citations
64 papers, 539 citations indexed

About

Nan Mu is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nan Mu has authored 64 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nan Mu's work include Visual Attention and Saliency Detection (19 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Olfactory and Sensory Function Studies (8 papers). Nan Mu is often cited by papers focused on Visual Attention and Saliency Detection (19 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Olfactory and Sensory Function Studies (8 papers). Nan Mu collaborates with scholars based in China, United States and Japan. Nan Mu's co-authors include Jingfeng Jiang, Xin Xu, Jinshan Tang, Daren Zha, Hongyu Wang, Yu Zhang, Xiaoming Zhang, Robert D. McBane, Todd E. Rasmussen and Li Chen and has published in prestigious journals such as Circulation, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Nan Mu

56 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Mu China 14 154 116 112 79 76 64 539
Žiga Špiclin Slovenia 14 298 1.9× 127 1.1× 259 2.3× 63 0.8× 22 0.3× 53 714
Mario Ceresa Spain 14 71 0.5× 220 1.9× 195 1.7× 78 1.0× 45 0.6× 49 683
Matthias Wilms Canada 15 184 1.2× 111 1.0× 229 2.0× 142 1.8× 21 0.3× 71 791
Nirmalya Ghosh India 12 76 0.5× 54 0.5× 80 0.7× 43 0.5× 64 0.8× 52 750
Asem Ali United States 12 183 1.2× 73 0.6× 128 1.1× 51 0.6× 27 0.4× 66 471
Chenchu Xu China 15 245 1.6× 51 0.4× 368 3.3× 105 1.3× 150 2.0× 35 741
Laura Dempere‐Marco Spain 11 108 0.7× 115 1.0× 57 0.5× 25 0.3× 30 0.4× 30 440
Dana Cobzaş Canada 17 347 2.3× 30 0.3× 243 2.2× 54 0.7× 55 0.7× 54 943
Zhipei Huang China 12 44 0.3× 143 1.2× 213 1.9× 84 1.1× 83 1.1× 51 644
Christian Vasseur France 15 148 1.0× 60 0.5× 81 0.7× 67 0.8× 12 0.2× 72 652

Countries citing papers authored by Nan Mu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Mu. A scholar is included among the top collaborators of Nan Mu 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 Nan Mu. Nan Mu 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.
Mu, Nan, et al.. (2025). An uncertainty-aware dynamic decision framework for progressive multi-omics integration in classification tasks. Computer Methods and Programs in Biomedicine. 275. 109179–109179.
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Mu, Nan, Min Wang, Xiaoming Zhang, et al.. (2024). Computational Hemodynamics-Based Growth Prediction for Small Abdominal Aortic Aneurysms: Laminar Simulations Versus Large Eddy Simulations. Annals of Biomedical Engineering. 52(11). 3078–3097. 3 indexed citations
5.
Mu, Nan, et al.. (2024). Slimmable transformer with hybrid axial-attention for medical image segmentation. Computers in Biology and Medicine. 173. 108370–108370. 6 indexed citations
6.
Mu, Nan, et al.. (2023). Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net. Computers in Biology and Medicine. 158. 106569–106569. 19 indexed citations
7.
Mu, Nan, et al.. (2023). Deep-learning-based image segmentation for image-based computational hemodynamic analysis of abdominal aortic aneurysms: a comparison study. Biomedical Physics & Engineering Express. 9(6). 67001–67001. 10 indexed citations
8.
Zha, Daren, et al.. (2023). Dynamic Scale-free Graph Embedding via Self-attention. Journal of Web Engineering.
9.
Mu, Nan, et al.. (2023). Video salient object detection via self-attention-guided multilayer cross-stack fusion. Multimedia Tools and Applications. 83(17). 51853–51866.
10.
Mu, Nan, Jinjia Guo, & Rong Wang. (2023). Automated polyp segmentation based on a multi-distance feature dissimilarity-guided fully convolutional network. Mathematical Biosciences & Engineering. 20(11). 20116–20134. 1 indexed citations
11.
Mu, Nan, et al.. (2023). Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature. Computers in Biology and Medicine. 167. 107648–107648. 5 indexed citations
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Mu, Nan, Min Wang, Jun Tang, et al.. (2023). Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms?. Biomedical Physics & Engineering Express. 9(3). 37001–37001. 14 indexed citations
14.
Mu, Nan, et al.. (2023). Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics. Scientific Reports. 13(1). 13832–13832. 16 indexed citations
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Jiang, Jingfeng, Nan Mu, Charles M. Strother, et al.. (2022). Abstract 14903: Augmenting Prediction of Intracranial Aneurysm Rupture Status With Computed Velomics. Circulation. 146(Suppl_1). 1 indexed citations
17.
Mu, Nan, Hongyu Wang, Yu Zhang, Jingfeng Jiang, & Jinshan Tang. (2021). Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images. Pattern Recognition. 120. 108168–108168. 50 indexed citations
18.
Mu, Nan, Daren Zha, Lin Zhao, & Rui Gong. (2020). Collaborative Denoising Graph Attention Autoencoders for Social Recommendation.. Software Engineering and Knowledge Engineering. 519–524. 1 indexed citations
19.
Zhang, Chenggong, Weijuan Zhang, Daren Zha, Pengjie Ren, & Nan Mu. (2019). A Multi-granularity Neural Network for Answer Sentence Selection. 5. 1–7. 2 indexed citations
20.
Yan, Tianyi, Nan Mu, Tiantian Liu, et al.. (2018). Positive Classification Advantage: Tracing the Time Course Based on Brain Oscillation. Frontiers in Human Neuroscience. 11. 659–659. 17 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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