Dan Pan

834 total citations
28 papers, 474 citations indexed

About

Dan Pan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Dan Pan has authored 28 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Neurology. Recurrent topics in Dan Pan's work include Dementia and Cognitive Impairment Research (7 papers), Brain Tumor Detection and Classification (6 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Dan Pan is often cited by papers focused on Dementia and Cognitive Impairment Research (7 papers), Brain Tumor Detection and Classification (6 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Dan Pan collaborates with scholars based in China, Canada and Sweden. Dan Pan's co-authors include An Zeng, Xiaowei Song, Tory O. Frizzell, Longfei Jia, Yin Huang, Bin Chen, Shen Zhao, Ruixuan Wang, Ryan C.N. D’Arcy and Careesa C. Liu and has published in prestigious journals such as Frontiers in Plant Science, Advanced Science and Ageing Research Reviews.

In The Last Decade

Dan Pan

24 papers receiving 449 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 Pan China 8 187 186 130 72 70 28 474
An Zeng China 11 232 1.2× 193 1.0× 131 1.0× 103 1.4× 117 1.7× 37 650
Farheen Ramzan Pakistan 5 136 0.7× 180 1.0× 69 0.5× 89 1.2× 96 1.4× 7 387
Siqi Liu China 5 154 0.8× 160 0.9× 102 0.8× 110 1.5× 93 1.3× 12 507
Nasrin M. Makbol Yemen 4 118 0.6× 187 1.0× 59 0.5× 52 0.7× 58 0.8× 7 288
Domenico Diacono Italy 14 186 1.0× 104 0.6× 110 0.8× 169 2.3× 30 0.4× 38 579
Hossam El-Din Moustafa Egypt 12 220 1.2× 223 1.2× 59 0.5× 159 2.2× 110 1.6× 56 536
Ahsan Bin Tufail Pakistan 9 162 0.9× 146 0.8× 45 0.3× 132 1.8× 84 1.2× 15 378
Nagaraj Yamanakkanavar South Korea 6 103 0.6× 164 0.9× 31 0.2× 76 1.1× 147 2.1× 10 323
Gongbo Liang United States 13 232 1.2× 75 0.4× 43 0.3× 180 2.5× 81 1.2× 38 479
Deevyankar Agarwal Spain 6 182 1.0× 78 0.4× 34 0.3× 185 2.6× 81 1.2× 10 413

Countries citing papers authored by Dan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Dan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Pan. A scholar is included among the top collaborators of Dan Pan 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 Pan. Dan Pan 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.
Ye, Jiayu, Yanting Li, An Zeng, & Dan Pan. (2025). Fuse-Former: An interpretability analysis model for rs-fMRI based on multi-scale information fusion interaction. Biomedical Signal Processing and Control. 105. 107471–107471. 4 indexed citations
2.
Ye, Jiayu, et al.. (2025). MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1454–1468. 2 indexed citations
3.
Pan, Dan, et al.. (2025). A dual-task segmentation network based on multi-head hierarchical attention for 3D plant point cloud. Frontiers in Plant Science. 16. 1610443–1610443.
4.
Chen, Geng, et al.. (2025). Intelligent identification system of concrete cracks based on deep learning algorithm. IET conference proceedings.. 2024(21). 714–720. 1 indexed citations
5.
Ye, Jiayu, et al.. (2024). MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention. IEEE Journal of Biomedical and Health Informatics. 28(6). 3637–3648. 4 indexed citations
6.
Wang, Dan, Chu Han, Zhen Zhang, et al.. (2024). FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. Computer Methods and Programs in Biomedicine. 249. 108141–108141. 8 indexed citations
7.
Pan, Dan, et al.. (2023). Target area distillation and section attention segmentation network for accurate 3D medical image segmentation. Health Information Science and Systems. 11(1). 9–9. 3 indexed citations
8.
Chen, Bin, et al.. (2022). Skin Cancer Classification With Deep Learning: A Systematic Review. Frontiers in Oncology. 12. 893972–893972. 67 indexed citations
9.
Frizzell, Tory O., Careesa C. Liu, An Zeng, et al.. (2022). Artificial intelligence in brain MRI analysis of Alzheimer’s disease over the past 12 years: A systematic review. Ageing Research Reviews. 77. 101614–101614. 79 indexed citations
10.
Pan, Dan, An Zeng, Chao Zou, et al.. (2022). Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer’s Disease. IEEE Transactions on Computational Social Systems. 11(1). 247–266. 19 indexed citations
11.
12.
Luo, Lin, An Zeng, & Dan Pan. (2022). A Multi-head Two-level Attention-based Network for Plant-part Segmentation on 3D Point Cloud. 561–567. 1 indexed citations
13.
Zeng, An, Dan Pan, Longfei Jia, et al.. (2021). Discovery of Genetic Biomarkers for Alzheimer’s Disease Using Adaptive Convolutional Neural Networks Ensemble and Genome-Wide Association Studies. Interdisciplinary Sciences Computational Life Sciences. 13(4). 787–800. 8 indexed citations
14.
Pan, Dan, et al.. (2021). Early detection of Alzheimer's disease using 3D convolutional neural networks. Alzheimer s & Dementia. 17(S4).
15.
Pan, Dan, An Zeng, Longfei Jia, et al.. (2020). Early Detection of Alzheimer’s Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning. Frontiers in Neuroscience. 14. 259–259. 204 indexed citations
16.
Kilinc, Caner, et al.. (2020). Using Blackbox ML Techniques to Diagnose QoE Problems for an IPTV Service. 1–8. 3 indexed citations
17.
Zeng, An, Longfei Jia, Dan Pan, & Xiaowei Song. (2019). [Early prognosis of Alzheimer's disease based on convolutional neural networks and ensemble learning].. PubMed. 36(5). 711–719. 2 indexed citations
18.
Pan, Dan, Longfei Jia, An Zeng, & Xiaowei Song. (2018). [Applications of generative adversarial networks in medical image processing].. PubMed. 35(6). 970–976. 4 indexed citations
19.
Zeng, An, et al.. (2006). Prediction of MHC II-binding peptides using rough set-based rule sets ensemble. Applied Intelligence. 27(2). 153–166. 1 indexed citations
20.
Pan, Dan, et al.. (2002). An evolution model for the creative design. 1. 645–650.

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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