Juanying Xie

2.1k total citations · 1 hit paper
59 papers, 1.2k citations indexed

About

Juanying Xie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Juanying Xie has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 13 papers in Molecular Biology. Recurrent topics in Juanying Xie's work include Face and Expression Recognition (12 papers), Advanced Clustering Algorithms Research (9 papers) and AI in cancer detection (7 papers). Juanying Xie is often cited by papers focused on Face and Expression Recognition (12 papers), Advanced Clustering Algorithms Research (9 papers) and AI in cancer detection (7 papers). Juanying Xie collaborates with scholars based in China, United Kingdom and United States. Juanying Xie's co-authors include Weixin Xie, P.W. Grant, Xiaohui Liu, Ran Liu, Joseph Luttrell, Chaoyang Zhang, Mingzhao Wang, Sheng‐Quan Xu, Xinbo Gao and De‐Long Guan and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Juanying Xie

52 papers receiving 1.1k citations

Hit Papers

Robust clustering by detecting density peaks and assignin... 2016 2026 2019 2022 2016 50 100 150 200 250
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.

  1. Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors
    2016 281 citations Juanying Xie, Weixin Xie et al. profile →

Peers

Juanying Xie
André Ricardo Backes Brazil
Isabelle Guyon France
Miloš Radovanović Serbia
Han Zhao United States
Rashid Mehmood China
Søren Kaae Sønderby Denmark
Dalcimar Casanova Brazil
C. Eric United States
Rahul Mazumder United States
André Ricardo Backes Brazil
Juanying Xie
Citations per year, relative to Juanying Xie Juanying Xie (= 1×) peers André Ricardo Backes

Countries citing papers authored by Juanying Xie

Since Specialization
Citations

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

Fields of papers citing papers by Juanying Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juanying Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Juanying Xie. A scholar is included among the top collaborators of Juanying Xie 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 Juanying Xie. Juanying Xie 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.
Li, Yinghong, Yudong Yan, Mingze Bai, et al.. (2025). Efficient fine-tuning of small-parameter large language models for biomedical bilingual multi-task applications. Applied Soft Computing. 175. 113084–113084.
2.
Xie, Juanying, et al.. (2025). WANN-DPC: Density peaks finding clustering based on Weighted Adaptive Nearest Neighbors. Pattern Recognition. 170. 111953–111953. 1 indexed citations
3.
Wang, Mingzhao, Ran Liu, Joseph Luttrell, Chaoyang Zhang, & Juanying Xie. (2025). Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset. Journal of Multidisciplinary Healthcare. Volume 18. 675–695. 2 indexed citations
4.
Xie, Juanying, et al.. (2025). NGC-R2Net: Next-generation convolutions with recurrent residual networks for skin lesion segmentation. Digital Signal Processing. 168. 105501–105501.
5.
6.
Wang, Mingzhao, et al.. (2024). EMTL-Net: Boosting segmentation quality in histopathology images of gland and nuclei by explainable multitask learning network as an optimized strategy. Engineering Science and Technology an International Journal. 51. 101636–101636. 7 indexed citations
7.
Ali, Haider, Mingzhao Wang, & Juanying Xie. (2024). CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images. Cognitive Computation. 16(3). 1176–1197. 9 indexed citations
8.
Wang, Mingzhao, et al.. (2024). BiPSTP: Sequence feature encoding method for identifying different RNA modifications with bidirectional position-specific trinucleotides propensities. Journal of Biological Chemistry. 300(4). 107140–107140. 1 indexed citations
9.
Chen, Xiangzhong, Mingzhao Wang, Wenjie Zhang, et al.. (2024). Clustering analysis for the evolutionary relationships of SARS-CoV-2 strains. Scientific Reports. 14(1). 6428–6428. 1 indexed citations
10.
Xie, Juanying, Mingzhao Wang, Sheng‐Quan Xu, Zhao Hui Huang, & P.W. Grant. (2021). The Unsupervised Feature Selection Algorithms Based on Standard Deviation and Cosine Similarity for Genomic Data Analysis. Frontiers in Genetics. 12. 684100–684100. 34 indexed citations
11.
Guan, De‐Long, Xiaoqian Hao, Da Mi, et al.. (2020). Draft Genome of a Blister Beetle Mylabris aulica. Frontiers in Genetics. 10. 1281–1281. 9 indexed citations
12.
Xie, Juanying, Jing Cao, Libin Ma, et al.. (2019). A dataset of butterfly ecological images for automatic species identification. China Scientific Data. 4(3). 21.86101/csdata.2018.0092.zh–21.86101/csdata.2018.0092.zh.
13.
Xie, Juanying, Ran Liu, Joseph Luttrell, & Chaoyang Zhang. (2019). Deep Learning Based Analysis of Histopathological Images of Breast Cancer. Frontiers in Genetics. 10. 80–80. 190 indexed citations
14.
Xie, Juanying, et al.. (2019). Colon cancer data analysis by chameleon algorithm. Health Information Science and Systems. 7(1). 23–23. 4 indexed citations
15.
Wang, Mingzhao, Meng Xu, Juanying Xie, et al.. (2019). A novel method detecting the key clinic factors of portal vein system thrombosis of splenectomy & cardia devascularization patients for cirrhosis & portal hypertension. BMC Bioinformatics. 20(S22). 720–720. 13 indexed citations
16.
Xie, Juanying, Yinghuan Shi, Liping Jing, et al.. (2018). The Automatic Identification of Butterfly Species. arXiv (Cornell University). 55(8). 1609. 16 indexed citations
17.
18.
Xie, Juanying, et al.. (2013). Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases. Health Information Science and Systems. 1(1). 21 indexed citations
19.
Xie, Juanying. (2012). New K-medoids clustering algorithm based on granular computing. Journal of Computer Applications. 2 indexed citations
20.
Xie, Juanying. (2009). A New Niche Genetic Algorithm Based on Improved Gradient Operators. Computer Engineering and Science.

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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