Pengran Liu

794 total citations
34 papers, 475 citations indexed

About

Pengran Liu is a scholar working on Health Informatics, Biomedical Engineering and Surgery. According to data from OpenAlex, Pengran Liu has authored 34 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health Informatics, 13 papers in Biomedical Engineering and 10 papers in Surgery. Recurrent topics in Pengran Liu's work include Artificial Intelligence in Healthcare and Education (13 papers), Medical Imaging and Analysis (7 papers) and Surgical Simulation and Training (4 papers). Pengran Liu is often cited by papers focused on Artificial Intelligence in Healthcare and Education (13 papers), Medical Imaging and Analysis (7 papers) and Surgical Simulation and Training (4 papers). Pengran Liu collaborates with scholars based in China and Singapore. Pengran Liu's co-authors include Zhewei Ye, Tongtong Huo, Songxiang Liu, Lin Lu, Jiayao Zhang, Honglin Wang, Yi Xie, Mao Xie, Ying Fang and Lianqi Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Frontiers in Physiology.

In The Last Decade

Pengran Liu

31 papers receiving 460 citations

Peers

Pengran Liu

SURGE

RNMI

Songxiang Liu China

Mohammed Imran Sajid United Kingdom

Andrew Blyth Australia

Sarah Enslin United States

Jose Morey United States

Morgan P. McBee United States

Behrus Puladi Germany

Benjamin Laguna United States

Javin Schefflein United States

Songxiang Liu China

Pengran Liu

115 ×0.8

103 ×0.8

102 ×0.8

SURGE

88 ×0.9

RNMI

46 ×1.0

Citations per year, relative to Pengran Liu Pengran Liu (= 1×) peers Songxiang Liu

Countries citing papers authored by Pengran Liu

Since Specialization

Citations

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

Fields of papers citing papers by Pengran Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengran Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengran Liu. A scholar is included among the top collaborators of Pengran 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 Pengran Liu. Pengran Liu 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

Huo, Tongtong, Wei Wu, Xiaoliang Chen, et al.. (2025). Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support. 1(3). 204–215. 1 indexed citations

Gao, Weihang, Hong Zhou, Yiyang Xie, et al.. (2025). Revolutionizing brain‒computer interfaces: overcoming biocompatibility challenges in implantable neural interfaces. Journal of Nanobiotechnology. 23(1). 498–498. 3 indexed citations

Xie, Yi, Honglin Wang, Hong Zhou, et al.. (2025). Integrating blockchain technology with artificial intelligence for the diagnosis of tibial plateau fractures. European Journal of Trauma and Emergency Surgery. 51(1). 119–119. 5 indexed citations

Wang, Yulong, Kaifang Chen, Yanlin Su, et al.. (2025). Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?. BMC Medical Informatics and Decision Making. 25(1). 127–127.

Xie, Yi, Zhiwei Hao, Honglin Wang, et al.. (2025). Dual-Stream Attention-Based Classification Network for Tibial Plateau Fractures via Diffusion Model Augmentation and Segmentation Map Integration. Current Medical Science. 45(1). 57–69. 1 indexed citations

Liu, Pengran, Jiayao Zhang, Yi Xie, et al.. (2024). Brain-computer Interaction in the Smart Era. Current Medical Science. 44(6). 1123–1131. 2 indexed citations

Liu, Pengran, et al.. (2024). Does a Video-Based and 3D Animation Hybrid Learning System Improve Teaching Outcomes in Orthopedic Surgery? A Randomized Controlled Trial. Journal of surgical education. 81(9). 1305–1319. 2 indexed citations

Yang, Jiaming, Baojun Chen, Brian Z. Huang, et al.. (2024). Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects. Current Medical Science. 44(6). 1113–1122. 2 indexed citations

Wang, Honglin, Hong Zhou, Jiayao Zhang, et al.. (2024). Performance Assessment of GPT 4.0 on the Japanese Medical Licensing Examination. Current Medical Science. 44(6). 1148–1154. 1 indexed citations

10.

Liu, Pengran, Jiayao Zhang, Songxiang Liu, et al.. (2024). Application of artificial intelligence technology in the field of orthopedics: a narrative review. Artificial Intelligence Review. 57(1). 12 indexed citations

11.

Zhang, Jiayao, Jiaming Yang, Honglin Wang, et al.. (2024). Application and Prospects of Deep Learning Technology in Fracture Diagnosis. Current Medical Science. 44(6). 1132–1140. 3 indexed citations

12.

Huo, Tongtong, Yi Xie, Ying Fang, et al.. (2023). Deep learning-based algorithm improves radiologists’ performance in lung cancer bone metastases detection on computed tomography. Frontiers in Oncology. 13. 1125637–1125637. 16 indexed citations

13.

Zhang, Jiayao, Heng Lin, Honglin Wang, et al.. (2023). Deep learning system assisted detection and localization of lumbar spondylolisthesis. Frontiers in Bioengineering and Biotechnology. 11. 1194009–1194009. 11 indexed citations

14.

Zhang, Jiayao, Zhimin Li, Heng Lin, et al.. (2023). Deep learning assisted diagnosis system: improving the diagnostic accuracy of distal radius fractures. Frontiers in Medicine. 10. 1224489–1224489. 18 indexed citations

15.

Lu, Lin, Aoshuang Xu, Fei Gao, et al.. (2022). Mesenchymal Stem Cell-Derived Exosomes as a Novel Strategy for the Treatment of Intervertebral Disc Degeneration. Frontiers in Cell and Developmental Biology. 9. 770510–770510. 16 indexed citations

16.

Liu, Pengran, Lin Lu, Yufei Chen, et al.. (2022). Artificial intelligence to detect the femoral intertrochanteric fracture: The arrival of the intelligent-medicine era. Frontiers in Bioengineering and Biotechnology. 10. 927926–927926. 33 indexed citations

17.

Xie, Yi, Jiayao Zhang, Honglin Wang, et al.. (2021). Applications of Blockchain in the Medical Field: Narrative Review. Journal of Medical Internet Research. 23(10). e28613–e28613. 52 indexed citations

18.

Liu, Pengran, Lin Lu, Songxiang Liu, et al.. (2021). Mixed reality assists the fight against COVID-19. SHILAP Revista de lepidopterología. 1(1). 16–18. 9 indexed citations

19.

Chen, Zhe, et al.. (2021). Running Promotes Transformation of Brain Astrocytes Into Neuroprotective Reactive Astrocytes and Synaptic Formation by Targeting Gpc6 Through the STAT3 Pathway. Frontiers in Physiology. 12. 633618–633618. 7 indexed citations

20.

Liu, Pengran, et al.. (2021). Application and Development of Intelligent Medicine in Traditional Chinese Medicine. Current Medical Science. 41(6). 1116–1122. 15 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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