Pan Liu

432 total citations
37 papers, 227 citations indexed

About

Pan Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pan Liu has authored 37 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Epidemiology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pan Liu's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Fractional Differential Equations Solutions (5 papers) and Medical Image Segmentation Techniques (3 papers). Pan Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Fractional Differential Equations Solutions (5 papers) and Medical Image Segmentation Techniques (3 papers). Pan Liu collaborates with scholars based in China, United States and Canada. Pan Liu's co-authors include Qinghua Zhou, Wenjun Tan, Jinzhu Yang, Kunlun He, Chao Chen, Irene Fonseca, Yanchun Zhang, Xiaoxia Yin, Yao Liu and Wei Shan and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of the Acoustical Society of America.

In The Last Decade

Pan Liu

28 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Liu China 8 107 58 44 33 26 37 227
Yassir Edrees Almalki Saudi Arabia 8 136 1.3× 100 1.7× 50 1.1× 62 1.9× 23 0.9× 32 258
Hyungseob Shin South Korea 8 144 1.3× 25 0.4× 36 0.8× 20 0.6× 13 0.5× 11 203
Awais Mansoor United States 11 118 1.1× 70 1.2× 58 1.3× 13 0.4× 62 2.4× 33 305
Malte Jensen Denmark 5 110 1.0× 77 1.3× 29 0.7× 17 0.5× 18 0.7× 8 206
Brent Liu United States 8 89 0.8× 58 1.0× 26 0.6× 18 0.5× 69 2.7× 51 265
Ivan Coronado United States 8 145 1.4× 56 1.0× 84 1.9× 98 3.0× 10 0.4× 12 330
Gijs van Tulder Netherlands 6 105 1.0× 85 1.5× 75 1.7× 31 0.9× 37 1.4× 9 214
Anas Z. Abidin United States 10 226 2.1× 91 1.6× 53 1.2× 57 1.7× 10 0.4× 36 437
Adora M. DSouza United States 10 214 2.0× 88 1.5× 52 1.2× 56 1.7× 8 0.3× 31 411
Khalaf Alshamrani Saudi Arabia 8 119 1.1× 76 1.3× 48 1.1× 54 1.6× 10 0.4× 23 284

Countries citing papers authored by Pan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Pan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Liu. A scholar is included among the top collaborators of Pan Liu 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 Pan Liu. Pan Liu 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.
Liu, Pan, Wanlin Zhu, Hong Xu, et al.. (2025). C3R: Category contrastive adaptation and consistency regularization for cross-modality medical image segmentation. Expert Systems with Applications. 269. 126304–126304. 3 indexed citations
2.
Yue, Yang, Yulin Wang, Chenxin Tao, et al.. (2025). CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. 20778–20788.
3.
Liu, Shuo, Pan Liu, Li Zhang, et al.. (2025). The Compensatory Effect of S375F on S371F Is Vital for Maintaining the Infectivity of SARS‐CoV‐2 Omicron Variants. Journal of Medical Virology. 97(3). e70242–e70242. 1 indexed citations
5.
Liu, Pan, Lei Xu, Isamu Yoshitake, & Bin Yan. (2025). An efficient solution method for train-track-tunnel coupled differential quadrature finite element dynamic model. Soil Dynamics and Earthquake Engineering. 194. 109334–109334. 2 indexed citations
6.
Tang, Li, et al.. (2025). Late HIV/AIDS diagnosis among people living with HIV in Wuhan in 2023. Frontiers in Microbiology. 16. 1594847–1594847.
7.
Zhong, Qin, Yuxiao Cheng, Zongren Li, et al.. (2025). Causal deep learning for real-time detection of cardiac surgery-associated acute kidney injury: derivation and validation in seven time-series cohorts. The Lancet Digital Health. 7(9). 100901–100901.
8.
Liu, Pan, Ziyang Liu, Jing Jing, et al.. (2024). CT perfusion parameter estimation in stroke using neural network with transformer and physical model priors. Computers in Biology and Medicine. 182. 109134–109134.
9.
Bian, Suyan, Pan Liu, Jing Jing, et al.. (2024). VesselTransGAN to CT Imaging: A Contrast Medium Free CTA Solution. IEEE Access. 12. 129917–129926. 2 indexed citations
10.
Liu, Pan, Lei Xu, & Bin Yan. (2024). An advance vehicle-slab track-soil dynamic interaction model based on differential quadrature finite element method. Applied Mathematical Modelling. 138. 115743–115743.
11.
Zhao, Yawei, Qinghe Liu, Pan Liu, Xinwang Liu, & Kunlun He. (2024). Medical Federated Model With Mixture of Personalized and Shared Components. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 433–449. 2 indexed citations
12.
Fonseca, Irene, Pan Liu, & Xin Lü. (2023). Higher order Ambrosio–Tortorelli scheme with non-negative spatially dependent parameters. Advances in Calculus of Variations. 16(4). 885–902. 1 indexed citations
13.
Davoli, Elisa, Irene Fonseca, & Pan Liu. (2023). Adaptive Image Processing: First Order PDE Constraint Regularizers and a Bilevel Training Scheme. Journal of Nonlinear Science. 33(3). 41–41. 2 indexed citations
14.
Wu, Di, Pan Liu, Tiantian Wu, et al.. (2023). Knowledge, attitudes, and practices (KAP) toward seasonal influenza vaccine among college students under the COVID‐19 pandemic in South China. Immunity Inflammation and Disease. 11(12). e1110–e1110. 2 indexed citations
15.
Tan, Wenjun, Pan Liu, Yao Liu, et al.. (2021). Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network. Health Information Science and Systems. 9(1). 10–10. 47 indexed citations
16.
Duan, Yunyun, Wei Shan, Liying Liu, et al.. (2020). Primary Categorizing and Masking Cerebral Small Vessel Disease Based on “Deep Learning System”. Frontiers in Neuroinformatics. 14. 17–17. 16 indexed citations
17.
Liu, Pan, Li Tang, Peng Xiao, et al.. (2020). Anti-HIV-1 antibodies based confirmatory results in Wuhan, China, 2012-2018. PLoS ONE. 15(9). e0238282–e0238282. 3 indexed citations
18.
Li, Chao, Shuo Wang, Pan Liu, et al.. (2019). Decoding the Interdependence of Multiparametric Magnetic Resonance Imaging to Reveal Patient Subgroups Correlated with Survivals. Neoplasia. 21(5). 442–449. 7 indexed citations
19.
Liu, Pan, et al.. (2019). Space Environment Data Transfer System Based on BBR Congestion Control Algorithm. Chinese Journal of Space Science. 39(1). 111–111.
20.
Liu, Pan, et al.. (2005). Vortex equation in holomorphic line bundle over complex manifold. Journal of Mathematical Analysis and Applications. 311(1). 352–356. 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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