Hanxu Hou

1.1k total citations
79 papers, 620 citations indexed

About

Hanxu Hou is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Hanxu Hou has authored 79 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Networks and Communications, 30 papers in Computational Theory and Mathematics and 20 papers in Artificial Intelligence. Recurrent topics in Hanxu Hou's work include Advanced Data Storage Technologies (58 papers), Caching and Content Delivery (30 papers) and Cellular Automata and Applications (29 papers). Hanxu Hou is often cited by papers focused on Advanced Data Storage Technologies (58 papers), Caching and Content Delivery (30 papers) and Cellular Automata and Applications (29 papers). Hanxu Hou collaborates with scholars based in China, Hong Kong and United States. Hanxu Hou's co-authors include Kenneth W. Shum, Patrick P. C. Lee, Yunghsiang S. Han, Hui Li, Minghua Chen, Yuchong Hu, Hui Li, Kejiao Li, Yongle Chen and Hui Li and has published in prestigious journals such as IEEE Transactions on Information Theory, Expert Systems with Applications and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Hanxu Hou

65 papers receiving 592 citations

Peers

Hanxu Hou
Ivan Lanese Italy
Vasco Manquinho Portugal
Mirosław Kutyłowski Poland
Michaël Rusinowitch France
Jean-Pierre Banâtre France
Oded Margalit Israel
Vinay Deolalikar United States
Marco Cesati Italy
Robert Schrag United States
Sukumar Ghosh United States
Ivan Lanese Italy
Hanxu Hou
Citations per year, relative to Hanxu Hou Hanxu Hou (= 1×) peers Ivan Lanese

Countries citing papers authored by Hanxu Hou

Since Specialization
Citations

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

Fields of papers citing papers by Hanxu Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanxu Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Hanxu Hou. A scholar is included among the top collaborators of Hanxu Hou 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 Hanxu Hou. Hanxu Hou 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.
Xia, Shu‐Tao, et al.. (2025). Two Generic Constructions of MDS Array Codes With Optimal Repair Bandwidth From Two Special Sets. IEEE Transactions on Information Theory. 71(5). 3582–3601.
2.
Xu, Jian, et al.. (2025). RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. CityU Scholars. 1436–1440. 1 indexed citations
3.
Xu, Jian, et al.. (2025). RALLRec+: Retrieval augmented large language model recommendation with reasoning. Expert Systems with Applications. 297. 129508–129508.
4.
5.
Jiang, Zhengyi, et al.. (2023). Cross-Rack Update Bandwidth for Distributed Storage Systems. 3699–3704. 1 indexed citations
6.
Li, Hui, Shaoliang Peng, Xiyu Wang, et al.. (2023). EMIS: A Uniform Management and Resolution System of Multiple Identifiers on Ethereum. 2013. 145–150. 1 indexed citations
7.
Zou, Lin, et al.. (2022). Systematic MDS Array Codes Correcting a Single Criss-Cross Error with Lower Update Complexity. 2022 IEEE International Conference on Big Data (Big Data). 21. 3242–3249.
8.
9.
Jiang, Zhengyi, Hanxu Hou, Yunghsiang S. Han, et al.. (2021). An Efficient Piggybacking Design with Lower Repair Bandwidth and Lower Sub-packetization. 2328–2333. 10 indexed citations
10.
Wang, Yunmin, et al.. (2020). Identifier Management of IndustrialInternet Based on Multi-Identifier Network Architecture. ZTE communications. 18(1). 36–43. 1 indexed citations
11.
Shum, Kenneth W. & Hanxu Hou. (2020). Network Coding Based on Byte-wise Circular Shift and Integer Addition. 1641–1645. 2 indexed citations
12.
Hou, Hanxu, Patrick P. C. Lee, & Yunghsiang S. Han. (2020). Minimum Storage Rack-Aware Regenerating Codes with Exact Repair and Small Sub-Packetization. 554–559. 14 indexed citations
13.
Hou, Hanxu, Patrick P. C. Lee, & Yunghsiang S. Han. (2020). Toward Optimality in Both Repair and Update via Generic MDS Code Transformation. 560–565. 6 indexed citations
14.
Hou, Hanxu, Yunghsiang S. Han, Patrick P. C. Lee, & Qingfeng Zhou. (2019). New Regenerating Codes over Binary Cyclic Codes. 216–220. 4 indexed citations
15.
Hou, Hanxu, et al.. (2019). Using deep reinforcement learning to speed up collective cell migration. BMC Bioinformatics. 20(S18). 571–571. 9 indexed citations
16.
Hao, Jianye, et al.. (2018). Effective norm emergence in cell systems under limited communication. BMC Bioinformatics. 19(S5). 119–119. 1 indexed citations
17.
Hou, Hanxu & Patrick P. C. Lee. (2018). A New Construction of EVENODD Codes With Lower Computational Complexity. IEEE Communications Letters. 22(6). 1120–1123. 16 indexed citations
18.
19.
Hou, Hanxu, Patrick P. C. Lee, Yunghsiang S. Han, & Yuchong Hu. (2017). Triple-fault-tolerant binary MDS array codes with asymptotically optimal repair. 839–843. 18 indexed citations
20.
Hou, Hanxu, Kenneth W. Shum, Minghua Chen, & Hui Li. (2014). New MDS array code correcting multiple disk failures. 2369–2374. 16 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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