Xingchen Chu

808 total citations
10 papers, 254 citations indexed

About

Xingchen Chu is a scholar working on Computer Networks and Communications, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Xingchen Chu has authored 10 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 4 papers in Information Systems and Management and 2 papers in Artificial Intelligence. Recurrent topics in Xingchen Chu's work include Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (4 papers) and Advanced Data Storage Technologies (3 papers). Xingchen Chu is often cited by papers focused on Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (4 papers) and Advanced Data Storage Technologies (3 papers). Xingchen Chu collaborates with scholars based in Australia, France and China. Xingchen Chu's co-authors include Rajkumar Buyya, Srikumar Venugopal, Chee Shin Yeo, Chao Jin, Mani Abedini, Sophie Thomas, Christian Vecchiola, Michael Kirley, P. Harris and Peter Hunter and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Future Generation Computer Systems and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Xingchen Chu

9 papers receiving 223 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingchen Chu Australia 6 186 152 26 22 18 10 254
Flávio R. C. Sousa Brazil 9 242 1.3× 243 1.6× 43 1.7× 20 0.9× 10 0.6× 34 323
Aditya Devarakonda United States 4 146 0.8× 157 1.0× 32 1.2× 11 0.5× 31 1.7× 7 217
Philip Healy Ireland 9 161 0.9× 162 1.1× 47 1.8× 10 0.5× 20 1.1× 23 253
Navraj Chohan United States 9 225 1.2× 233 1.5× 25 1.0× 6 0.3× 36 2.0× 15 275
M. Aramudhan India 9 116 0.6× 147 1.0× 91 3.5× 17 0.8× 7 0.4× 49 265
David Villegas United States 6 175 0.9× 187 1.2× 19 0.7× 7 0.3× 31 1.7× 11 232
Marcel Kornacker United States 9 249 1.3× 110 0.7× 46 1.8× 8 0.4× 9 0.5× 16 299
Felix Gessert Germany 6 131 0.7× 112 0.7× 32 1.2× 5 0.2× 14 0.8× 24 183
Gregory Katsaros Greece 9 257 1.4× 256 1.7× 38 1.5× 25 1.1× 21 1.2× 21 329
Jianqing Fu China 5 148 0.8× 207 1.4× 73 2.8× 9 0.4× 10 0.6× 9 263

Countries citing papers authored by Xingchen Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xingchen Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingchen Chu

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

All Works

10 of 10 papers shown
1.
Yang, Zhen, et al.. (2025). Bayesian Filtering Enhanced Causal-Attention-LSTM for Tracking Highly Maneuvering Aerial Targets. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.
2.
Vecchiola, Christian, Mani Abedini, Michael Kirley, Xingchen Chu, & Rajkumar Buyya. (2010). Gene Expression Classification with a Novel Coevolutionary Based Learning Classifier System on Public Clouds. 5866. 92–97. 8 indexed citations
3.
Yeo, Chee Shin, Srikumar Venugopal, Xingchen Chu, & Rajkumar Buyya. (2009). Autonomic metered pricing for a utility computing service. Future Generation Computer Systems. 26(8). 1368–1380. 72 indexed citations
4.
Harris, P., Rajkumar Buyya, Xingchen Chu, et al.. (2009). The Virtual Kidney: an eScience interface and Grid portal. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1896). 2141–2159. 7 indexed citations
5.
Chu, Xingchen, Andrew Lonie, P. Harris, Sophie Thomas, & Rajkumar Buyya. (2008). A service‐oriented Grid environment for integration of distributed kidney models and resources. Concurrency and Computation Practice and Experience. 20(9). 1095–1111. 3 indexed citations
6.
Venugopal, Srikumar, Xingchen Chu, & Rajkumar Buyya. (2008). A Negotiation Mechanism for Advance Resource Reservations Using the Alternate Offers Protocol. 40–49. 54 indexed citations
8.
Cheung, Sherman C.P., Xingchen Chu, Shengjin Xu, Rajkumar Buyya, & Jiyuan Tu. (2007). A grid based e-research platform for clinical management in the human respiratory and vascular system. 11–17. 2 indexed citations
9.
Chu, Xingchen, Andrew Lonie, P. Harris, Sophie Thomas, & Rajkumar Buyya. (2006). KidneyGrid. 5–5. 2 indexed citations
10.
Chu, Xingchen, et al.. (2006). Open Sensor Web Architecture: Core Services. 43 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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