Xuebin Chi

886 total citations
15 papers, 108 citations indexed

About

Xuebin Chi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xuebin Chi has authored 15 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Xuebin Chi's work include Distributed and Parallel Computing Systems (4 papers), Peer-to-Peer Network Technologies (2 papers) and Service-Oriented Architecture and Web Services (2 papers). Xuebin Chi is often cited by papers focused on Distributed and Parallel Computing Systems (4 papers), Peer-to-Peer Network Technologies (2 papers) and Service-Oriented Architecture and Web Services (2 papers). Xuebin Chi collaborates with scholars based in China, Germany and United States. Xuebin Chi's co-authors include Lennart Johnsson, Wei Ge, Long Wang, Yao Shi, David A. Yuen, Jian Zhang, Yunhai Wang, Holger Theisel, Dirk J. Lehmann and Ming Gu and has published in prestigious journals such as Science Bulletin, Computer Graphics Forum and SIAM Journal on Matrix Analysis and Applications.

In The Last Decade

Xuebin Chi

13 papers receiving 102 citations

Peers

Xuebin Chi

CVPR

CTM

CM

CGCD

CNC

Sanderson L. Gonzaga de Oliveira Brazil

U. Fuchs Switzerland

Khanh Do Ba United States

Philippe Tillet United States

Aneta Karaivanova Bulgaria

Yongjin Yeom South Korea

Jakob Wenzel Germany

Terry Cojean Germany

Olivier Ruatta France

Kadir Akbudak Saudi Arabia

Sanderson L. Gonzaga de Oliveira Brazil

Xuebin Chi

25 ×0.9

CVPR

60 ×2.7

CTM

21 ×1.0

CM

13 ×0.7

CGCD

47 ×2.9

CNC

Citations per year, relative to Xuebin Chi Xuebin Chi (= 1×) peers Sanderson L. Gonzaga de Oliveira

Countries citing papers authored by Xuebin Chi

Since Specialization

Citations

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

Fields of papers citing papers by Xuebin Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuebin Chi

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Li, Shunde, et al.. (2025). MISA-AKMC :Achieve Kinetic Monte Carlo Simulation of 20 Quadrillion Atoms on GPU Clusters. 1661–1675.

2.

Li, Shunde, et al.. (2024). POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters. 469–471. 1 indexed citations

3.

Dong, Tian, et al.. (2021). Visual Analysis System for Fine-Grained Inline Relationship of Air Quality Data. Journal of Computer-Aided Design & Computer Graphics. 33(9). 1326–1336.

4.

Lu, Zhonghua, et al.. (2019). Origin of High Performance Computing——Current Status and Developments of Scientific Computing Applications. Bulletin of Chinese Academy of Sciences (Chinese Version). 34(6). 625–639. 3 indexed citations

5.

Gao, Yang, et al.. (2019). VASEM: visual analytics system for electron microscopy data bank. Journal of Visualization. 22(6). 1145–1159. 1 indexed citations

6.

Zhao, Yining, et al.. (2018). Improvement of the Log Pattern Extracting Algorithm Using Text Similarity. 507–514. 7 indexed citations

7.

Lu, Shasha, et al.. (2018). Unified Account Management for High Performance Computing as a Service with Microservice Architecture. 20–20. 2 indexed citations

8.

Jia, Weile, et al.. (2013). Cloud application classification and fine-grained resource provision based on prediction on prediction. Journal of Computer Applications. 33(6). 1534–1539. 2 indexed citations

9.

Yuen, David A., Long Wang, Xuebin Chi, et al.. (2013). GPU Solutions to Multi-scale Problems in Science and Engineering. UWA Profiles and Research Repository (UWA). 42 indexed citations

10.

Wang, Yunhai, Jian Zhang, Dirk J. Lehmann, Holger Theisel, & Xuebin Chi. (2012). Automating Transfer Function Design with Valley Cell‐Based Clustering of 2D Density Plots. Computer Graphics Forum. 31(3pt4). 1295–1304. 29 indexed citations

11.

Lu, Zhonghua, et al.. (2010). The Applications and Trends of High Performance Computing in Finance. 193–197. 3 indexed citations

12.

Niu, Beifang, et al.. (2009). Parallel algorithm research on several important open problems in bioinformatics. Interdisciplinary Sciences Computational Life Sciences. 1(3). 187–195. 2 indexed citations

13.

Chi, Xuebin, et al.. (2009). USGPA: A User-Centric and Secure Grid Portal Architecture for High-Performance Computing. 41. 432–438. 1 indexed citations

14.

Wang, Jun, et al.. (2008). The research progress of tiling array technology and applications. Science Bulletin. 53(6). 817–824. 2 indexed citations

15.

Gu, Ming, et al.. (2003). A Stable Divide and Conquer Algorithm for the Unitary Eigenproblem. SIAM Journal on Matrix Analysis and Applications. 25(2). 385–404. 13 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.

Explore authors with similar magnitude of impact