Fei Shan

5.1k total citations · 1 hit paper
76 papers, 2.8k citations indexed

About

Fei Shan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Fei Shan has authored 76 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Pulmonary and Respiratory Medicine and 15 papers in Biomedical Engineering. Recurrent topics in Fei Shan's work include Radiomics and Machine Learning in Medical Imaging (30 papers), COVID-19 diagnosis using AI (27 papers) and Lung Cancer Diagnosis and Treatment (23 papers). Fei Shan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (30 papers), COVID-19 diagnosis using AI (27 papers) and Lung Cancer Diagnosis and Treatment (23 papers). Fei Shan collaborates with scholars based in China, South Korea and United States. Fei Shan's co-authors include Nannan Shi, Yuxin Shi, Zhiyong Zhang, Hongzhou Lu, Fengxiang Song, Jie Shen, Yun Ling, Yebin Jiang, Yaozong Gao and Yuxin Shi and has published in prestigious journals such as Journal of the American Chemical Society, Biomaterials and Radiology.

In The Last Decade

Fei Shan

73 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia

2020 865 citations Fengxiang Song, Nannan Shi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Shan China	23	1.7k	817	566	560	287	76	2.8k
Elaine Lee Hong Kong	23	1.9k 1.1×	768 0.9×	415 0.7×	613 1.1×	259 0.9×	110	3.6k
Wenbin Ji China	17	1.8k 1.1×	1.2k 1.4×	443 0.8×	530 0.9×	269 0.9×	84	3.3k
Ming‐Yen Ng Hong Kong	13	1.6k 0.9×	855 1.0×	372 0.7×	353 0.6×	245 0.9×	56	2.4k
Huangqi Zhang China	7	1.8k 1.0×	1.2k 1.4×	437 0.8×	293 0.5×	254 0.9×	15	2.5k
Jicheng Xie China	4	1.7k 1.0×	1.1k 1.4×	430 0.8×	264 0.5×	244 0.9×	7	2.4k
Wenzhi Lv China	5	2.4k 1.4×	1.9k 2.4×	585 1.0×	451 0.8×	431 1.5×	7	3.9k
Yicheng Fang China	5	1.7k 1.0×	1.1k 1.4×	430 0.8×	260 0.5×	246 0.9×	10	2.4k
Chong Chen China	8	2.4k 1.4×	2.0k 2.4×	596 1.1×	509 0.9×	463 1.6×	12	4.0k
Minjie Lin China	6	1.6k 0.9×	1.0k 1.3×	411 0.7×	250 0.4×	201 0.7×	8	2.3k
Zhenlu Yang China	10	2.4k 1.4×	1.9k 2.4×	582 1.0×	490 0.9×	429 1.5×	17	4.2k

Countries citing papers authored by Fei Shan

Since Specialization

Citations

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

Fields of papers citing papers by Fei Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Shan. A scholar is included among the top collaborators of Fei Shan 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 Fei Shan. Fei Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Hui, Yang Sun, Fei Shan, Bing Yang, & Ming Jin. (2024). Investigation and optimization of short-term aging test conditions for asphalt binders. International Journal of Transportation Science and Technology. 19. 114–127. 1 indexed citations

Zhang, Jiulong, Wen Ye, Nannan Shi, et al.. (2024). Beating xenograft liposarcoma using metal selenides with NIR-III photothermal ablation and bioactive selenium derivates. Chemical Engineering Journal. 481. 148521–148521. 3 indexed citations

Tian, Weiwei, Qinqin Yan, Xinyu Huang, et al.. (2024). Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model. Cancer Imaging. 24(1). 8–8. 11 indexed citations

Wang, Xin, Jun Wang, Fei Shan, et al.. (2023). Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. Computers in Biology and Medicine. 159. 106890–106890. 3 indexed citations

Shi, Chunzi, Dong Wang, Yuxin Shi, et al.. (2023). Lipophilic AIEgens as the “Trojan Horse” with Discrepant Efficacy in Tracking and Treatment of Mycobacterial Infection. Advanced Healthcare Materials. 13(4). e2301746–e2301746. 3 indexed citations

Song, Fengxiang, et al.. (2023). Altered metabolism in right basal ganglia associated with asymptomatic neurocognitive impairment in HIV-infected individuals. Heliyon. 10(1). e23342–e23342. 2 indexed citations

Zhang, Jiulong, Yuxin Shi, Chunzi Shi, et al.. (2023). Near-Infrared-Mediated Self-Assembly of Graphene Quantum Dot-Based Nanoprobes to Silence Heat Shock Protein Expression for Mild Photothermal Therapy in Liposarcoma. ACS Applied Nano Materials. 6(18). 16276–16285. 7 indexed citations

Shen, Jie, Mingfeng Yu, Shuyi Yang, et al.. (2023). Optimization and validation of voxel size-related radiomics variability by combatting batch effect harmonization in pulmonary nodules: a phantom and clinical study. Quantitative Imaging in Medicine and Surgery. 13(9). 6139–6151. 3 indexed citations

Liu, Yanbei, Henan Li, Changqing Zhang, et al.. (2022). Diagnosis of COVID-19 by using structural attention graph neural network. Journal of Image and Graphics. 27(3). 750–761.

10.

Yan, Qinqin, Jie Shen, Fei Shan, et al.. (2021). Preliminary study of 3 T-MRI native T1-mapping radiomics in differential diagnosis of non-calcified solid pulmonary nodules/masses. Cancer Cell International. 21(1). 539–539. 9 indexed citations

11.

Yang, Shuyi, Yida Wang, Yuxin Shi, et al.. (2021). Radiomics nomogram analysis of T2-fBLADE-TSE in pulmonary nodules evaluation. Magnetic Resonance Imaging. 85. 80–86. 7 indexed citations

12.

Chen, Liyun, Fei Shan, Liming Xia, et al.. (2021). Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging. 21(1). 57–57. 6 indexed citations

13.

Liu, Fengjun, Qi Zhang, Chao Huang, et al.. (2020). CT quantification of pneumonia lesions in early days predicts progression to severe illness in a cohort of COVID-19 patients. Theranostics. 10(12). 5613–5622. 138 indexed citations

14.

Di, Donglin, Feng Shi, Fuhua Yan, et al.. (2020). Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Analysis. 68. 101910–101910. 54 indexed citations

15.

Shi, Nannan, Fengxiang Song, Fengjun Liu, et al.. (2020). Preliminary investigation of relationship between clinical indicators and CT manifestation patterns of COVID-19 pneumonia improvement. Journal of Thoracic Disease. 12(10). 5896–5905. 1 indexed citations

16.

Shi, Feng, Ying Wei, Liming Xia, et al.. (2020). Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19. International Journal of Infectious Diseases. 102. 316–318. 8 indexed citations

17.

Fan, Li, Yun Wang, Ying Zhou, et al.. (2018). Lung Cancer Screening with Low-Dose CT: Baseline Screening Results in Shanghai. Academic Radiology. 26(10). 1283–1291. 56 indexed citations

18.

Cheng, Zenghui, Fei Shan, Jinxin Liu, et al.. (2017). Clinical and computed tomography findings in C hinese lung cancer patients with HIV infection: A multi‐center study. Thoracic Cancer. 8(3). 238–245. 1 indexed citations

19.

Shan, Fei, et al.. (2013). First-Pass CT Perfusion in Small Peripheral Lung Cancers. Academic Radiology. 20(8). 972–979. 7 indexed citations

20.

Wu, Y. K., Yulin Wu, Fei Shan, et al.. (1999). Recent major advances in the studies on Qinghaosu and related antimalarial agents. 12(9). 687–694. 3 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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