Longxi Zhou

604 total citations · 1 hit paper
13 papers, 328 citations indexed

About

Longxi Zhou is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Longxi Zhou has authored 13 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Longxi Zhou's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and AI in cancer detection (3 papers). Longxi Zhou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and AI in cancer detection (3 papers). Longxi Zhou collaborates with scholars based in Saudi Arabia, China and Rwanda. Longxi Zhou's co-authors include Xin Gao, Haoyang Li, Juexiao Zhou, Zhongxiao Li, Zhaowen Qiu, Xigang Xiao, Yuxin Huang, Riham Eiada, Shahrukh K. Hashmi and Lihua Li and has published in prestigious journals such as Nature Communications, Science Advances and IEEE Transactions on Medical Imaging.

In The Last Decade

Longxi Zhou

12 papers receiving 320 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.

Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4

2024 57 citations Liyuan Sun, Xiuying Chen et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Longxi Zhou Saudi Arabia	7	150	130	67	64	34	13	328
Miao Wu China	7	99 0.7×	151 1.2×	34 0.5×	17 0.3×	43 1.3×	13	323
Kokeb Dese Ethiopia	11	163 1.1×	208 1.6×	15 0.2×	29 0.5×	100 2.9×	16	379
Juexiao Zhou Saudi Arabia	13	160 1.1×	131 1.0×	32 0.5×	56 0.9×	36 1.1×	25	588
Mohammad Asadur Rahman Bangladesh	5	147 1.0×	119 0.9×	8 0.1×	35 0.5×	39 1.1×	11	338
Sakifa Aktar Bangladesh	7	128 0.9×	119 0.9×	13 0.2×	20 0.3×	17 0.5×	18	323
Asok Kumar Maiti India	8	106 0.7×	165 1.3×	62 0.9×	17 0.3×	206 6.1×	10	350
Karsten Wendt Germany	8	65 0.4×	96 0.7×	7 0.1×	29 0.5×	99 2.9×	16	267
Xiao Jian Tan Malaysia	9	77 0.5×	86 0.7×	17 0.3×	19 0.3×	30 0.9×	33	209
Aman Rana United States	6	34 0.2×	75 0.6×	15 0.2×	20 0.3×	35 1.0×	16	185
Yaofeng Wen China	8	278 1.9×	135 1.0×	7 0.1×	48 0.8×	40 1.2×	12	351

Countries citing papers authored by Longxi Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Longxi Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longxi Zhou

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

All Works

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13 of 13 papers shown

Zhang, Yilan, Zhongyi Han, Changchun Yang, et al.. (2025). Improving Representation of High-Frequency Components for Medical Visual Foundation Models. IEEE Transactions on Medical Imaging. 44(8). 3196–3209.

Luo, Gongning, Longxi Zhou, Shaodong Cao, et al.. (2025). Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences. Nature Communications. 16(1). 2262–2262. 2 indexed citations

Sun, Liyuan, Xiuying Chen, Longxi Zhou, et al.. (2024). Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4. Nature Communications. 15(1). 5649–5649. 57 indexed citations breakdown →

Zhou, Juexiao, Siyuan Chen, Yulian Wu, et al.. (2024). PPML-Omics: A privacy-preserving federated machine learning method protects patients’ privacy in omic data. Science Advances. 10(5). eadh8601–eadh8601. 20 indexed citations

Zhou, Juexiao, Longxi Zhou, Di Wang, et al.. (2023). Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI. Computers in Biology and Medicine. 169. 107861–107861. 16 indexed citations

Wei, Zhengde, Ying Chen, Qian Zhao, et al.. (2023). Implicit Perception of Differences between NLP‐Produced and Human‐Produced Language in the Mentalizing Network (Adv. Sci. 12/2023). Advanced Science. 10(12). 1 indexed citations

Wei, Zhengde, Pengyu Zhang, Longxi Zhou, et al.. (2023). Implicit Perception of Differences between NLP‐Produced and Human‐Produced Language in the Mentalizing Network. Advanced Science. 10(12). e2203990–e2203990. 5 indexed citations

Zhou, Juexiao, Haoyang Li, Xingyu Liao, et al.. (2023). A unified method to revoke the private data of patients in intelligent healthcare with audit to forget. Nature Communications. 14(1). 6255–6255. 5 indexed citations

Zhou, Longxi, Xianglin Meng, Yuxin Huang, et al.. (2022). An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors. Nature Machine Intelligence. 4(5). 494–503. 21 indexed citations

10.

Zhou, Juexiao, Bin Zhang, Haoyang Li, et al.. (2022). Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-Seq Data via DeeReCT-TSS. Genomics Proteomics & Bioinformatics. 20(5). 959–973. 5 indexed citations

11.

Zhou, Longxi, Zhongxiao Li, Juexiao Zhou, et al.. (2020). A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis. IEEE Transactions on Medical Imaging. 39(8). 2638–2652. 129 indexed citations

12.

Zhang, Chunzhi, Lei Liu, Zheng Zheng, et al.. (2013). Fine mapping of the Ph-3 gene conferring resistance to late blight (Phytophthora infestans) in tomato. Theoretical and Applied Genetics. 126(10). 2643–2653. 55 indexed citations

13.

Qi, Hongyan, et al.. (2011). Carbohydrate metabolism in tomato ( Lycopersicon esculentum Mill.) seedlings and yield and fruit quality as affected by low night temperature and subsequent recovery. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(30). 5743–5749. 12 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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