Xuanping Zhang

14.4k total citations
73 papers, 768 citations indexed

About

Xuanping Zhang is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xuanping Zhang has authored 73 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Cancer Research and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xuanping Zhang's work include Cancer Genomics and Diagnostics (14 papers), Chaos-based Image/Signal Encryption (11 papers) and Acupuncture Treatment Research Studies (11 papers). Xuanping Zhang is often cited by papers focused on Cancer Genomics and Diagnostics (14 papers), Chaos-based Image/Signal Encryption (11 papers) and Acupuncture Treatment Research Studies (11 papers). Xuanping Zhang collaborates with scholars based in China, Hong Kong and United States. Xuanping Zhang's co-authors include Zhongmeng Zhao, Jiayin Wang, Xiaoyan Zhu, Xin Lai, Lili Su, Qinqin Tian, Xiaoyan Zhu, Tong Zhou, Yangyang Xiao and Xing Fan and has published in prestigious journals such as Cancer Research, Diabetes and Scientific Reports.

In The Last Decade

Xuanping Zhang

68 papers receiving 749 citations

Peers

Xuanping Zhang

CVPR

CTM

Shouhua Wang China

Renu Jain India

Sarika Jain India

Alejandro Murua United States

Xiangyang Wang China

Yoshiharu Sato Japan

Yiming Zhou China

Yue-Li Wang Taiwan

Paulo J. S. Silva Brazil

Jiye Han China

Shouhua Wang China

Xuanping Zhang

212 ×0.6

CVPR

636 ×2.5

51 ×0.3

43 ×0.5

CTM

43 ×0.7

Citations per year, relative to Xuanping Zhang Xuanping Zhang (= 1×) peers Shouhua Wang

Countries citing papers authored by Xuanping Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Xuanping Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanping Zhang

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

All Works

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20 of 20 papers shown

Lai, Xin, Jiayin Wang, Liu Liu, et al.. (2024). Classifier chain-based monitoring method for multivariate surgical outcomes. Computers & Industrial Engineering. 194. 110378–110378.

Yang, Guang, Fan Li, Xuanping Zhang, et al.. (2024). DeepLION2: deep multi-instance contrastive learning framework enhancing the prediction of cancer-associated T cell receptors by attention strategy on motifs. Frontiers in Immunology. 15. 1345586–1345586. 2 indexed citations

Li, Fan, et al.. (2024). TCRcost: a deep learning model utilizing TCR 3D structure for enhanced of TCR–peptide binding. Frontiers in Genetics. 15. 1346784–1346784. 2 indexed citations

Liu, Guang, Lili Su, Cheng Kong, et al.. (2024). Improved diagnostic efficiency of CRC subgroups revealed using machine learning based on intestinal microbes. BMC Gastroenterology. 24(1). 315–315. 1 indexed citations

Liu, Yuqian, Yixuan Wang, Xiaoyan Zhu, et al.. (2023). What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort. Frontiers in Immunology. 14. 1151224–1151224. 6 indexed citations

Liu, Guang, Tong Li, Xiaoyan Zhu, Xuanping Zhang, & Jiayin Wang. (2023). An independent evaluation in a CRC patient cohort of microbiome 16S rRNA sequence analysis methods: OTU clustering, DADA2, and Deblur. Frontiers in Microbiology. 14. 1178744–1178744. 16 indexed citations

Su, Lili, Guang Liu, Ying Guo, et al.. (2022). Integration of Protein-Protein Interaction Networks and Gene Expression Profiles Helps Detect Pancreatic Adenocarcinoma Candidate Genes. Frontiers in Genetics. 13. 854661–854661. 6 indexed citations

Xu, Ying, et al.. (2022). DeepLION: Deep Multi-Instance Learning Improves the Prediction of Cancer-Associated T Cell Receptors for Accurate Cancer Detection. Frontiers in Genetics. 13. 860510–860510. 13 indexed citations

Liu, Ruo-Yu, Xin Lai, Jiayin Wang, et al.. (2021). A non-linear ensemble model-based surgical risk calculator for mixed data from multiple surgical fields. BMC Medical Informatics and Decision Making. 21(S2). 88–88. 4 indexed citations

10.

Zhang, Xiaolong, Jiayin Wang, Jiabin Lu, et al.. (2021). Robust Prognostic Subtyping of Muscle-Invasive Bladder Cancer Revealed by Deep Learning-Based Multi-Omics Data Integration. Frontiers in Oncology. 11. 689626–689626. 17 indexed citations

11.

Zhang, Xuanping, Xiao Xiao, Feiran Zhang, et al.. (2020). Accurately estimating the length distributions of genomic micro-satellites by tumor purity deconvolution. BMC Bioinformatics. 21(S2). 82–82. 4 indexed citations

12.

Zheng, Tian, Xiaoyan Zhu, Xuanping Zhang, et al.. (2020). A machine learning framework for genotyping the structural variations with copy number variant. BMC Medical Genomics. 13(S6). 79–79. 1 indexed citations

13.

Zhang, Xiaolong, Meng Zhang, Xuanping Zhang, Xiaoyan Zhu, & Jiayin Wang. (2020). A prognostic index based on a fourteen long non-coding RNA signature to predict the recurrence-free survival for muscle-invasive bladder cancer patients. BMC Medical Informatics and Decision Making. 20(S3). 136–136. 2 indexed citations

14.

Wang, Jiayin, Xiao Xiao, Xin Lai, et al.. (2020). A hybrid correcting method considering heterozygous variations by a comprehensive probabilistic model. BMC Genomics. 21(S10). 753–753. 1 indexed citations

15.

Tong, Yao, Jiayin Wang, Tian Zheng, et al.. (2020). SETE: Sequence-based Ensemble learning approach for TCR Epitope binding prediction. Computational Biology and Chemistry. 87. 107281–107281. 41 indexed citations

16.

Zhang, Xuanping, Shimin Shuai, Yu Geng, et al.. (2019). A graph-based algorithm for estimating clonal haplotypes of tumor sample from sequencing data. BMC Medical Genomics. 12(S1). 27–27. 2 indexed citations

17.

Zhang, Xuanping, et al.. (2017). Detecting complex indels with wide length-spectrum from the third generation sequencing data. 1980–1987. 1 indexed citations

18.

Yang, Qingqing, Junlei Li, Boying Li, et al.. (2016). [Study of clinical application of manipulations of filiform needles to promote qi by data mining technique].. PubMed. 36(7). 717–722. 1 indexed citations

19.

Zheng, Han, Zhongmeng Zhao, & Xuanping Zhang. (2012). Access control based on group signatures in cloud service. 316–320. 1 indexed citations

20.

Li, Xuewen, et al.. (2006). Differences of promethazine and terfenadine on ion channels in guinea pig ventricular myocytes. Chinese Medical Journal. 119(11). 944–947. 6 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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