Bolei Xu

551 total citations
15 papers, 362 citations indexed

About

Bolei Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Bolei Xu has authored 15 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Bolei Xu's work include AI in cancer detection (3 papers), Video Surveillance and Tracking Methods (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Bolei Xu is often cited by papers focused on AI in cancer detection (3 papers), Video Surveillance and Tracking Methods (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Bolei Xu collaborates with scholars based in China, United Kingdom and Japan. Bolei Xu's co-authors include Guoping Qiu, Jingxin Liu, Xianxu Hou, Yang Cao, Caixia Yang, Keping Yu, Liang Tan, Na Shi, Bozhi Liu and Linlin Shen and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Image and Vision Computing.

In The Last Decade

Bolei Xu

14 papers receiving 351 citations

Peers

Bolei Xu

AI

CVPR

IS

RNMI

CNC

Parminder Kaur India

Zhengming Hu China

Abdul Wahab Muzaffar Pakistan

M. A. Elmagzoub Saudi Arabia

Nidhi Gupta India

Said Jai Andaloussi Morocco

Michael Odetayo United Kingdom

Nitin Pise India

Wanqi Yang China

Parminder Kaur India

Bolei Xu

204 ×1.1

AI

89 ×0.6

CVPR

144 ×1.3

IS

120 ×2.0

RNMI

45 ×0.8

CNC

Citations per year, relative to Bolei Xu Bolei Xu (= 1×) peers Parminder Kaur

Countries citing papers authored by Bolei Xu

Since Specialization

Citations

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

Fields of papers citing papers by Bolei Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bolei Xu

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

All Works

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15 of 15 papers shown

1.

Cheng, Senlin, et al.. (2025). SPT: Sequence Prompt Transformer for Interactive Image Segmentation. 1–5. 4 indexed citations

2.

Xu, Bolei. (2023). Region selection for occluded person re-identification via policy gradient. Image and Vision Computing. 132. 104648–104648. 4 indexed citations

3.

Yang, Caixia, Liang Tan, Na Shi, et al.. (2020). AuthPrivacyChain: A Blockchain-Based Access Control Framework With Privacy Protection in Cloud. IEEE Access. 8. 70604–70615. 121 indexed citations

4.

Xu, Bolei, Jingxin Liu, Xianxu Hou, Bozhi Liu, & Guoping Qiu. (2020). End-to-End Illuminant Estimation Based on Deep Metric Learning. 3613–3622. 25 indexed citations

5.

Hou, Xianxu, Jingxin Liu, Bolei Xu, et al.. (2020). Class-aware domain adaptation for improving adversarial robustness. Image and Vision Computing. 99. 103926–103926. 9 indexed citations

6.

Xu, Bolei, Jingxin Liu, Xianxu Hou, et al.. (2019). Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. 914–918. 24 indexed citations

7.

Liu, Jingxin, Libo Liu, Bolei Xu, et al.. (2019). Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network. 28–31. 17 indexed citations

8.

Xu, Bolei, Jingxin Liu, Xianxu Hou, et al.. (2019). Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification. IEEE Transactions on Medical Imaging. 39(6). 1930–1941. 50 indexed citations

9.

Hou, Xianxu, Jingxin Liu, Bolei Xu, et al.. (2019). Learning Deep Image Priors for Blind Image Denoising. 1738–1747. 6 indexed citations

10.

Xu, Bolei, Jingxin Liu, Xianxu Hou, Ke Sun, & Guoping Qiu. (2019). Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets. IEEE Access. 7. 21623–21634. 4 indexed citations

11.

Hou, Xianxu, Yuanhao Gong, Bozhi Liu, et al.. (2018). Learning Based Image Transformation Using Convolutional Neural Networks. IEEE Access. 6. 49779–49792. 17 indexed citations

12.

Liu, Jingxin, Bolei Xu, Linlin Shen, Jonathan M. Garibaldi, & Guoping Qiu. (2017). HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network. 1019–1023. 10 indexed citations

13.

Xu, Bolei & Guoping Qiu. (2016). Crowd density estimation based on rich features and random projection forest. 1–8. 62 indexed citations

14.

Xu, Bolei, Tao Qin, Guoping Qiu, & Tie‐Yan Liu. (2015). Optimal pricing for the competitive and evolutionary cloud market. International Conference on Artificial Intelligence. 139–145. 9 indexed citations

15.

Xu, Bolei, Tao Qin, Guoping Qiu, & Tie‐Yan Liu. (2015). Competitive Pricing for Cloud Computing in an Evolutionary Market. Adaptive Agents and Multi-Agents Systems. 1755–1756.

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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