Jiaofen Nan

673 total citations
45 papers, 470 citations indexed

About

Jiaofen Nan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jiaofen Nan has authored 45 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 14 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jiaofen Nan's work include EEG and Brain-Computer Interfaces (12 papers), Functional Brain Connectivity Studies (8 papers) and Gastrointestinal motility and disorders (6 papers). Jiaofen Nan is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Functional Brain Connectivity Studies (8 papers) and Gastrointestinal motility and disorders (6 papers). Jiaofen Nan collaborates with scholars based in China, United States and United Kingdom. Jiaofen Nan's co-authors include Jie Tian, Wei Qin, Fanrong Liang, Karen M. von Deneen, Jixin Liu, Guoying Li, Qiyong Gong, Ling Zhao, Kai Yuan and Jing Li and has published in prestigious journals such as PLoS ONE, Acta Materialia and Experimental Neurology.

In The Last Decade

Jiaofen Nan

40 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaofen Nan China 12 199 188 132 78 70 45 470
Igor Holländer Austria 9 105 0.5× 75 0.4× 29 0.2× 19 0.2× 53 0.8× 18 577
Danielle D. DeSouza United States 13 195 1.0× 210 1.1× 269 2.0× 351 4.5× 5 0.1× 28 829
Can Sheng China 17 330 1.7× 278 1.5× 181 1.4× 7 0.1× 10 0.1× 41 758
Keith Dodd United States 10 144 0.7× 19 0.1× 77 0.6× 15 0.2× 14 0.2× 15 325
Rosaleena Mohanty Sweden 13 233 1.2× 129 0.7× 104 0.8× 6 0.1× 6 0.1× 36 542
Steven Roys United States 14 237 1.2× 64 0.3× 284 2.2× 14 0.2× 3 0.0× 36 707
Michalis Koutroumanidis United Kingdom 17 604 3.0× 681 3.6× 34 0.3× 11 0.1× 5 0.1× 44 1.0k
Mehdi Rahim France 8 476 2.4× 129 0.7× 216 1.6× 4 0.1× 4 0.1× 14 692
K. A. Smitha India 8 445 2.2× 90 0.5× 263 2.0× 12 0.2× 3 0.0× 8 609
Jay L. Shils United States 18 159 0.8× 26 0.1× 43 0.3× 118 1.5× 10 0.1× 47 1.2k

Countries citing papers authored by Jiaofen Nan

Since Specialization
Citations

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

Fields of papers citing papers by Jiaofen Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaofen Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaofen Nan. A scholar is included among the top collaborators of Jiaofen Nan 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 Jiaofen Nan. Jiaofen Nan 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.
Nan, Jiaofen, Xinyu Liu, Di Zhang, Rui Xu, & Yong Zhang. (2025). Application of Porous Materials in Photocatalytic Treatment of Wastewater. Colloids and Interfaces. 9(1). 3–3. 4 indexed citations
2.
Huang, H. K., Shenmiao Yang, Jiaofen Nan, et al.. (2025). 3D lymphoma segmentation on PET/CT images via multi‐scale information fusion with cross‐attention. Medical Physics. 52(6). 4371–4389.
3.
Liang, Fei, Bowen Zhang, Shuaizhuo Wang, et al.. (2025). Twinning-dominated scratch mechanism transitions in commercial pure Titanium from micro to macro scales. Acta Materialia. 296. 121254–121254. 2 indexed citations
4.
Zhu, Fubao, Chuang Han, Yanting Li, et al.. (2024). Model-level attention and batch-instance style normalization for federated learning on medical image segmentation. Information Fusion. 107. 102348–102348. 5 indexed citations
5.
Zheng, Qian, et al.. (2024). White Matter Fiber Tracking Method with Adaptive Correction of Tracking Direction. International Journal of Biomedical Imaging. 2024. 1–15.
6.
Li, Yanting, Shuai Wang, Junwei Jin, et al.. (2024). Density-Based Discriminative Nonnegative Representation Model for Imbalanced Classification. Neural Processing Letters. 56(2). 10 indexed citations
7.
Hu, Hang, Huan Huang, Zhao Chen, et al.. (2024). A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images. Journal of Imaging Informatics in Medicine. 38(3). 1323–1333. 3 indexed citations
8.
Su, Haitao, et al.. (2024). EEG spatial projection and an improved 3D CNN with channel spatiotemporal joint attention mechanism for emotion recognition. Signal Image and Video Processing. 18(12). 9347–9362. 2 indexed citations
9.
Li, Yanting, et al.. (2024). Adaptive weights-based relaxed broad learning system for imbalanced classification. Digital Signal Processing. 156. 104869–104869. 1 indexed citations
10.
Han, Li, et al.. (2024). Brain identification of IBS patients based on GBDT and multiple imaging techniques. Physical and Engineering Sciences in Medicine. 47(2). 651–662.
11.
Chen, Dongdong, Xiaorui Wang, & Jiaofen Nan. (2023). A new framework for the reconstruction of porous media based on statistical characteristics: Multiscale erosion simulated annealing method. Physica A Statistical Mechanics and its Applications. 616. 128616–128616. 3 indexed citations
12.
Xia, Yongquan, et al.. (2023). An Adaptive Channel Selection and Graph ResNet Based Algorithm for Motor Imagery Classification. International Journal of Advanced Computer Science and Applications. 14(5). 3 indexed citations
13.
Zhu, Fubao, Zhao Chen, Shaojie Tang, et al.. (2023). A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. Computers in Biology and Medicine. 160. 106954–106954. 17 indexed citations
14.
Zhu, Fubao, Zhengyuan Gao, Zhao Chen, et al.. (2022). A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images. Ultrasonic Imaging. 44(5-6). 191–203. 20 indexed citations
15.
Chen, Dongdong, et al.. (2022). Fast reconstruction of multiphase microstructures based on statistical descriptors. Physical review. E. 105(5). 55301–55301. 6 indexed citations
16.
Nan, Jiaofen, et al.. (2017). A Structure Design Method for Reduction of MRI Acoustic Noise. Computational and Mathematical Methods in Medicine. 2017. 1–12. 3 indexed citations
17.
Liu, Jixin, Ling Zhao, Jiaofen Nan, et al.. (2013). The trade-off between wiring cost and network topology in white matter structural networks in health and migraine. Experimental Neurology. 248. 196–204. 19 indexed citations
18.
Nan, Jiaofen, Jixin Liu, Guoying Li, et al.. (2013). Whole-Brain Functional Connectivity Identification of Functional Dyspepsia. PLoS ONE. 8(6). e65870–e65870. 24 indexed citations
19.
Liu, Jixin, Lei Lan, Guoying Li, et al.. (2013). Migraine-Related Gray Matter and White Matter Changes at a 1-Year Follow-Up Evaluation. Journal of Pain. 14(12). 1703–1708. 59 indexed citations
20.
Nan, Jiaofen, et al.. (2011). [Application of HHT to driving fatigue in EEG analysis].. PubMed. 28(4). 653–7. 1 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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