Guoping Xu

1.7k total citations · 1 hit paper
65 papers, 873 citations indexed

About

Guoping Xu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guoping Xu has authored 65 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 21 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guoping Xu's work include Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (14 papers) and Advanced Neural Network Applications (12 papers). Guoping Xu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (14 papers) and Advanced Neural Network Applications (12 papers). Guoping Xu collaborates with scholars based in China and United States. Guoping Xu's co-authors include Zeting Yu, Lei Xia, Daohan Wang, Xinglong Wu, Wentao Liao, Xuan Zhang, Xinwei He, Chang Li, Changjiang Wang and Hanqiang Cao and has published in prestigious journals such as PLoS ONE, International Journal of Hydrogen Energy and Energy Conversion and Management.

In The Last Decade

Guoping Xu

53 papers receiving 857 citations

Hit Papers

Haar wavelet downsampling: A simple but effective downsam... 2023 2026 2024 2025 2023 40 80 120
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. Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation
    2023 123 citations Guoping Xu, Xinglong Wu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoping Xu China 14 264 182 153 141 140 65 873
Chenyang Xu China 13 154 0.6× 118 0.6× 343 2.2× 403 2.9× 43 0.3× 36 1.1k
K. Narasimhan India 18 198 0.8× 150 0.8× 114 0.7× 181 1.3× 51 0.4× 65 1.0k
Hassan Elahi Italy 20 528 2.0× 64 0.4× 607 4.0× 90 0.6× 186 1.3× 82 1.8k
Melih Kuncan Türkiye 17 92 0.3× 39 0.2× 61 0.4× 203 1.4× 64 0.5× 47 1.0k
Jiaming Zhang China 14 89 0.3× 114 0.6× 49 0.3× 323 2.3× 81 0.6× 33 834
Yun Gu China 19 247 0.9× 20 0.1× 488 3.2× 366 2.6× 165 1.2× 90 1.5k
Lei Ke China 14 347 1.3× 71 0.4× 52 0.3× 367 2.6× 95 0.7× 33 1.0k
Jing Xiong China 20 380 1.4× 18 0.1× 447 2.9× 363 2.6× 72 0.5× 117 1.5k
Weize Sun China 17 179 0.7× 34 0.2× 141 0.9× 95 0.7× 111 0.8× 91 931

Countries citing papers authored by Guoping Xu

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoping Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Guoping Xu. A scholar is included among the top collaborators of Guoping Xu 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 Guoping Xu. Guoping Xu 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.
Wang, Jie, et al.. (2025). Identification of Molecular Subtypes and Prognostic Features for Triple-Negative Breast Cancer Based on Golgi Apparatus-Related Gene Signature. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 33(8). 2013–2035.
2.
Xu, Guoping, et al.. (2025). Depthwise-dilated convolutional adapters for medical object tracking and segmentation using the segment anything model 2. Machine Learning Science and Technology. 6(4). 45026–45026.
3.
Wu, Xinglong, Guoping Xu, Zhihua Wang, et al.. (2025). Multimodal Nomogram Combining Multiparametric MRI, Functional Subsets of Peripheral Lymphocytes and PI-RADS Can Predict Risk Stratification of Prostate Cancer. Computer Methods and Programs in Biomedicine. 273. 109086–109086.
4.
Xu, Guoping, et al.. (2024). Development of residual learning in deep neural networks for computer vision: A survey. Engineering Applications of Artificial Intelligence. 142. 109890–109890. 5 indexed citations
5.
Xu, Guoping, et al.. (2024). Structural tensor and frequency guided semi‐supervised segmentation for medical images. Medical Physics. 51(12). 8929–8942. 1 indexed citations
6.
Cao, Xinyu, et al.. (2024). Prediction of Prostate Cancer Risk Stratification Based on A Nonlinear Transformation Stacking Learning Strategy. International Neurourology Journal. 28(1). 33–43.
7.
Song, Wenbo, et al.. (2023). Multimodality deep learning radiomics nomogram for preoperative prediction of malignancy of breast cancer: a multicenter study. Physics in Medicine and Biology. 68(17). 175023–175023. 2 indexed citations
8.
Yang, Chunguang, Xinyu Cao, Guoping Xu, et al.. (2023). Development and validation of a clinic machine-learning nomogram for the prediction of risk stratifications of prostate cancer based on functional subsets of peripheral lymphocyte. Journal of Translational Medicine. 21(1). 465–465. 10 indexed citations
9.
Wu, Xinglong, et al.. (2023). ULS4US: universal lesion segmentation framework for 2D ultrasound images. Physics in Medicine and Biology. 68(16). 165009–165009. 3 indexed citations
10.
Wu, Xinglong, Mengying Li, Xin‐Wu Cui, & Guoping Xu. (2022). Deep multimodal learning for lymph node metastasis prediction of primary thyroid cancer. Physics in Medicine and Biology. 67(3). 35008–35008. 37 indexed citations
11.
Xu, Guoping, Yogesh Rathi, Joan A. Camprodon, Hanqiang Cao, & Lipeng Ning. (2021). Rapid whole-brain electric field mapping in transcranial magnetic stimulation using deep learning. PLoS ONE. 16(7). e0254588–e0254588. 20 indexed citations
12.
Zhang, Xiaohua, Xinguo Liu, Jinjun Chen, et al.. (2021). Acupuncture versus Lornoxicam in the Treatment of Acute Renal Colic: A Randomized Controlled Trial. Journal of Pain Research. Volume 14. 3637–3648. 6 indexed citations
13.
Wu, Menglin, Xue Li, Qi Guo, et al.. (2020). Magnetic mesoporous silica nanoparticles-aided dual MR/NIRF imaging to identify macrophage enrichment in atherosclerotic plaques. Nanomedicine Nanotechnology Biology and Medicine. 32. 102330–102330. 30 indexed citations
14.
Xu, Guoping, Hanqiang Cao, Jayaram K. Udupa, Yubing Tong, & Drew A. Torigian. (2020). DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images. Computerized Medical Imaging and Graphics. 88. 101851–101851. 32 indexed citations
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17.
Yang, Han, Wenming Yin, Riyue Jiang, et al.. (2016). Preoperative and postoperative radiotherapy for locally advanced colorectal cancer. Zhonghua fangshe zhongliuxue zazhi. 25(7). 724–727.
18.
Gao, Bu‐Lang, Wei Zhao, & Guoping Xu. (2009). The Development of a De Novo Indirect Carotid-Cavernous Fistula After Successful Occlusion of Bilateral Direct Carotid-Cavernous Fistulas. The Journal of Trauma: Injury, Infection, and Critical Care. 66(2). E28–E31. 5 indexed citations
19.
Xu, Guoping, Zu‐De Xu, Bu‐Lang Gao, et al.. (2007). Cervical Actinomycosis with Spinal Cord Compression. Chemotherapy. 54(1). 63–66. 3 indexed citations
20.
Xu, Guoping. (2007). A Statistical Parameter Analysis and SVM Based Fault Diagnosis Strategy for Dynamically Tuned Gyroscopes. 1 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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