Xiaofei Liao

5.6k total citations · 1 hit paper
314 papers, 3.6k citations indexed

About

Xiaofei Liao is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Xiaofei Liao has authored 314 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 206 papers in Computer Networks and Communications, 118 papers in Hardware and Architecture and 101 papers in Information Systems. Recurrent topics in Xiaofei Liao's work include Parallel Computing and Optimization Techniques (101 papers), Cloud Computing and Resource Management (87 papers) and Caching and Content Delivery (76 papers). Xiaofei Liao is often cited by papers focused on Parallel Computing and Optimization Techniques (101 papers), Cloud Computing and Resource Management (87 papers) and Caching and Content Delivery (76 papers). Xiaofei Liao collaborates with scholars based in China, United States and Singapore. Xiaofei Liao's co-authors include Hai Jin, Haikun Liu, Li Lin, Peng Li, Chengzhong Xu, Lionel M. Ni, Liting Hu, Long Zheng, Y. Liu and Bingsheng He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Communications Surveys & Tutorials.

In The Last Decade

Xiaofei Liao

277 papers receiving 3.5k citations

Hit Papers

Computation Offloading Toward Edge Computing 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofei Liao China 25 2.6k 1.4k 800 656 645 314 3.6k
Xiao Qin United States 26 2.0k 0.8× 1.7k 1.2× 256 0.3× 481 0.7× 488 0.8× 217 3.2k
Jinyang Li United States 30 4.5k 1.7× 878 0.6× 325 0.4× 1.1k 1.6× 276 0.4× 77 5.3k
Patrick Eugster United States 27 4.0k 1.5× 1.2k 0.9× 317 0.4× 363 0.6× 549 0.9× 170 4.7k
Yong Cui China 32 2.9k 1.1× 769 0.6× 703 0.9× 1.4k 2.1× 267 0.4× 227 3.9k
Petros Maniatis United States 33 3.7k 1.4× 1.9k 1.4× 552 0.7× 892 1.4× 347 0.5× 77 4.6k
Yi‐Min Wang United States 31 3.3k 1.2× 1.6k 1.1× 347 0.4× 452 0.7× 752 1.2× 128 4.7k
Georg Carle Germany 27 2.8k 1.1× 700 0.5× 261 0.3× 948 1.4× 344 0.5× 318 3.4k
Ruichuan Chen United States 16 2.3k 0.9× 1.5k 1.1× 454 0.6× 335 0.5× 732 1.1× 43 3.4k
Paolo Costa United Kingdom 31 3.0k 1.2× 1.8k 1.3× 359 0.4× 775 1.2× 254 0.4× 108 3.7k
Jinshu Su China 30 1.9k 0.7× 959 0.7× 271 0.3× 781 1.2× 249 0.4× 248 3.1k

Countries citing papers authored by Xiaofei Liao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Liao. A scholar is included among the top collaborators of Xiaofei Liao 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 Xiaofei Liao. Xiaofei Liao 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
2.
Liao, Xiaofei, Bin Zhang, Huiyun Yang, et al.. (2024). An individualized immune prognostic signature in nasopharyngeal carcinoma. Oral Oncology. 157. 106985–106985. 1 indexed citations
3.
Zheng, Long, et al.. (2024). PRAGA: A Priority-Aware Hardware/Software Co-design for High-Throughput Graph Processing Acceleration. ACM Transactions on Architecture and Code Optimization. 22(1). 1–27.
4.
5.
Liu, Haikun, et al.. (2024). Fast Parallel Recovery for Transactional Stream Processing on Multicores. 1478–1491. 1 indexed citations
6.
Yue, Jianhui, et al.. (2024). A hybrid memory architecture supporting fine-grained data migration. Frontiers of Computer Science. 18(2). 4 indexed citations
7.
Jin, Xiaozhong, et al.. (2023). Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump. IEEE Transactions on Parallel and Distributed Systems. 34(9). 2568–2579. 3 indexed citations
8.
Jin, Hai, et al.. (2023). A Compilation Tool for Computation Offloading in ReRAM-based CIM Architectures. ACM Transactions on Architecture and Code Optimization. 20(4). 1–25. 5 indexed citations
9.
Wang, Runze, et al.. (2023). An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(5). 1360–1373. 4 indexed citations
10.
Pan, Tingting, et al.. (2023). VIDGCN: Embracing input data diversity with a configurable graph convolutional network accelerator. Journal of Systems Architecture. 141. 102924–102924. 1 indexed citations
11.
Lu, Feng, Wei Li, Minghao Fang, et al.. (2023). Fine-Grained Lesion Classification Framework for Early Auxiliary Diagnosis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(4). 971–982. 2 indexed citations
12.
Jin, Hai, et al.. (2023). CPSAA: Accelerating Sparse Attention Using Crossbar-Based Processing-In-Memory Architecture. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(6). 1741–1754. 4 indexed citations
13.
Liao, Xiaofei, et al.. (2023). A survey on dynamic graph processing on GPUs: concepts, terminologies and systems. Frontiers of Computer Science. 18(4). 3 indexed citations
14.
Wang, Xiaoyuan, Haikun Liu, Xiaofei Liao, Hai Jin, & Yu Zhang. (2020). TLB Coalescing for Multi-Grained Page Migration in Hybrid Memory Systems. IEEE Access. 8. 66304–66314. 4 indexed citations
15.
Liao, Xiaofei, Yu Huang, Long Zheng, & Hai Jin. (2019). Efficient Time-Evolving Stream Processing at Scale. IEEE Transactions on Parallel and Distributed Systems. 30(10). 2165–2178. 5 indexed citations
16.
Zhang, Yu, Xiaofei Liao, Hai Jin, et al.. (2018). Cgraph: a correlations-aware approach for efficient concurrent iterative graph processing. Warwick Research Archive Portal (University of Warwick). 441–452. 13 indexed citations
17.
Gorlatch, Sergei, et al.. (2014). Bringing mobile online games to clouds. 340–345. 18 indexed citations
18.
Park, Namje, et al.. (2011). Proceedings of the international conference on human-centric computing 2011 and embedded and multimedia computing 2011 : HumanCom & EMC 2011. Springer eBooks. 1 indexed citations
19.
Liu, Huashan, Xiaobo Lai, Shiqiang Zhu, & Xiaofei Liao. (2011). Jerk-bounded and -continuous trajectory planning for a 6-DOF serial robot manipulator with revolute joints. Chinese Control Conference. 3462–3466. 3 indexed citations
20.
Liao, Xiaofei, Hai Jin, & Wenbin Jiang. (2008). Moving P2P Live Streaming to Mobile and Ubiquitous Environment.. Computing and Informatics / Computers and Artificial Intelligence. 27(5). 823–835. 1 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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