Bao Xin Chen

789 total citations
6 papers, 111 citations indexed

About

Bao Xin Chen is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Bao Xin Chen has authored 6 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Hardware and Architecture and 3 papers in Artificial Intelligence. Recurrent topics in Bao Xin Chen's work include Stochastic Gradient Optimization Techniques (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Bao Xin Chen is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Bao Xin Chen collaborates with scholars based in Canada. Bao Xin Chen's co-authors include John K. Tsotsos, Xing Zhao, Aijun An and Manos Papagelis and has published in prestigious journals such as Machine Learning.

In The Last Decade

Bao Xin Chen

6 papers receiving 106 citations

Peers

Bao Xin Chen
Hugo Latapie United States
Susama Bagchi Malaysia
Zun Wang China
Yannick Maret Switzerland
Bao Xin Chen
Citations per year, relative to Bao Xin Chen Bao Xin Chen (= 1×) peers Yuting Chen

Countries citing papers authored by Bao Xin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bao Xin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bao Xin Chen. 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 Bao Xin Chen. The network helps show where Bao Xin Chen may publish in the future.

Co-authorship network of co-authors of Bao Xin Chen

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

All Works

6 of 6 papers shown
1.
Zhao, Xing, et al.. (2021). ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model. Machine Learning. 110(10). 2867–2903. 3 indexed citations
2.
Zhao, Xing, et al.. (2019). Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. 1504–1509. 10 indexed citations
3.
Zhao, Xing, et al.. (2019). Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning. 1507–1517. 45 indexed citations
4.
Chen, Bao Xin & John K. Tsotsos. (2019). Fast Visual Object Tracking using Ellipse Fitting for Rotated Bounding Boxes. 2281–2289. 14 indexed citations
5.
6.
Chen, Bao Xin, et al.. (2017). Person Following Robot Using Selected Online Ada-Boosting with Stereo Camera. 48–55. 34 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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