Bingxin Xu

443 total citations
25 papers, 139 citations indexed

About

Bingxin Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Bingxin Xu has authored 25 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Bingxin Xu's work include Face and Expression Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Image and Signal Denoising Methods (3 papers). Bingxin Xu is often cited by papers focused on Face and Expression Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Image and Signal Denoising Methods (3 papers). Bingxin Xu collaborates with scholars based in China, United States and Macao. Bingxin Xu's co-authors include Jie Wang, Ping Guo, Yinglong Wang, Minglei Shu, Ruixia Liu, Hongzhe Liu, Hadas Kress‐Gazit, Weiguo Pan, Fei Wan and C. L. Philip Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Cybernetics and Neurocomputing.

In The Last Decade

Bingxin Xu

21 papers receiving 135 citations

Peers

Bingxin Xu
Quentin Duval France
Subhankar Joardar India
X. Y. Han United States
Paul Szerlip United States
Arnab Kumar Mondal India
Apoorv Vyas Switzerland
Sibo Song China
A Prathik India
Seyed Iman Mirzadeh United States
Quentin Duval France
Bingxin Xu
Citations per year, relative to Bingxin Xu Bingxin Xu (= 1×) peers Quentin Duval

Countries citing papers authored by Bingxin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Bingxin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingxin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Bingxin Xu. A scholar is included among the top collaborators of Bingxin 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 Bingxin Xu. Bingxin 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.
Tan, Yong-Xuan, et al.. (2025). DBYOLOv8: Dual-Branch YOLOv8 Network for Small Object Detection on Drone Image. International Journal of Advanced Computer Science and Applications. 16(1). 1 indexed citations
2.
Xu, Bingxin, et al.. (2024). Reconstructing damaged fNIRS signals with a generative deep learning model. Artificial Intelligence Review. 58(2). 1 indexed citations
3.
Pan, Weiguo, et al.. (2024). Low-Light Image Enhancement using Retinex-based Network with Attention Mechanism. International Journal of Advanced Computer Science and Applications. 15(1). 8 indexed citations
4.
Pan, Weiguo, et al.. (2024). FSKT‐GE: Feature maps similarity knowledge transfer for low‐resolution gaze estimation. IET Image Processing. 18(6). 1642–1654. 1 indexed citations
5.
Li, X. Allen, et al.. (2024). A Survey of Automatic Driving Environment Perception. 1038–1047.
6.
Xu, Bingxin, et al.. (2024). Combined spatial and frequency dual stream network for face forgery detection. PeerJ Computer Science. 10. e1959–e1959. 1 indexed citations
7.
Pan, Weiguo, et al.. (2023). Human Pose Estimation Based on Lightweight Multi-Scale Coordinate Attention. Applied Sciences. 13(6). 3614–3614. 7 indexed citations
8.
Pan, Weiguo, et al.. (2023). Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion. SHILAP Revista de lepidopterología. 2023. 1–10. 1 indexed citations
9.
Xu, Bingxin, et al.. (2023). Causal-DFQ: Causality Guided Data-free Network Quantization. 17391–17400. 2 indexed citations
10.
Xu, Bingxin, et al.. (2021). An ECG Denoising Method Based on the Generative Adversarial Residual Network. Computational and Mathematical Methods in Medicine. 2021. 1–23. 23 indexed citations
11.
Wang, Jie, et al.. (2021). Deep learning for Aspect-based Sentiment Analysis. 267–271. 32 indexed citations
12.
13.
Xu, Bingxin. (2020). Application of ECG Signal Denoising and T-wave Automatic Detection Based on Computer Deep Learning. Journal of Physics Conference Series. 1578(1). 12007–12007.
14.
Xu, Bingxin, et al.. (2019). Deep Sparse Representation Classification with Stacked Autoencoder. 21. 73–77. 1 indexed citations
15.
Xu, Bingxin, et al.. (2019). Multi-channel expected patch log likelihood for color image denoising. Neurocomputing. 367. 130–143. 5 indexed citations
16.
Xu, Bingxin & Ping Guo. (2018). Broad and Pseudoinverse Learning for Autoencoder. 32. 4243–4247. 2 indexed citations
17.
Xu, Bingxin, Ping Guo, & C. L. Philip Chen. (2014). An adaptive regularization method for sparse representation. Integrated Computer-Aided Engineering. 21(1). 91–100. 7 indexed citations
18.
Xu, Bingxin, et al.. (2013). Multi-objective cost-sensitive attribute reduction. 3100. 1377–1381. 5 indexed citations
19.
Xu, Bingxin, et al.. (2012). Initial pattern library algorithm for human action recognition. Procedia Computer Science. 9. 1334–1337. 1 indexed citations
20.
Xu, Bingxin, et al.. (2012). Combining affinity propagation with supervised dictionary learning for image classification. Neural Computing and Applications. 22(7-8). 1301–1308. 7 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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