Jialei Liu

784 total citations · 1 hit paper
16 papers, 456 citations indexed

About

Jialei Liu is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jialei Liu has authored 16 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 10 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jialei Liu's work include IoT and Edge/Fog Computing (11 papers), Cloud Computing and Resource Management (10 papers) and Software-Defined Networks and 5G (3 papers). Jialei Liu is often cited by papers focused on IoT and Edge/Fog Computing (11 papers), Cloud Computing and Resource Management (10 papers) and Software-Defined Networks and 5G (3 papers). Jialei Liu collaborates with scholars based in China, Australia and United States. Jialei Liu's co-authors include Hai Liu, Shoulin Wei, Congming Shi, Wen Wang, Shangguang Wang, Ao Zhou, Rajkumar Buyya, Fangchun Yang, Sathish Kumar and Chunhong Liu and has published in prestigious journals such as IEEE Internet of Things Journal, Energies and The Computer Journal.

In The Last Decade

Jialei Liu

16 papers receiving 441 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm

2021 215 citations Congming Shi, Shoulin Wei et al. EURASIP Journal on Wireless Communications and Networking profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jialei Liu China	8	211	160	67	55	40	16	456
Mohssen Mohammed South Africa	6	146 0.7×	90 0.6×	165 2.5×	48 0.9×	39 1.0×	20	498
M. Saravanan India	11	151 0.7×	124 0.8×	138 2.1×	53 1.0×	71 1.8×	72	476
Bhasker Pant India	14	110 0.5×	96 0.6×	131 2.0×	68 1.2×	63 1.6×	105	493
Sudhanshu Maurya India	10	111 0.5×	107 0.7×	74 1.1×	63 1.1×	28 0.7×	96	384
Om Pal India	12	109 0.5×	147 0.9×	62 0.9×	41 0.7×	43 1.1×	36	408
Yihong Yang China	11	145 0.7×	102 0.6×	177 2.6×	51 0.9×	78 1.9×	30	484
G.Y. Hong New Zealand	13	107 0.5×	130 0.8×	68 1.0×	136 2.5×	38 0.9×	50	550
Paulo Roberto de Lira Gondim Brazil	14	310 1.5×	137 0.9×	62 0.9×	209 3.8×	52 1.3×	42	544
Rasha M. Abd El-Aziz Saudi Arabia	15	149 0.7×	148 0.9×	166 2.5×	75 1.4×	54 1.4×	37	548

Countries citing papers authored by Jialei Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jialei Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialei Liu

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

All Works

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16 of 16 papers shown

Liu, Jialei, et al.. (2024). Dependency-aware online task offloading based on deep reinforcement learning for IoV. Journal of Cloud Computing Advances Systems and Applications. 13(1). 3 indexed citations

Liu, Jialei, et al.. (2023). Overbooking-Enabled Task Scheduling and Resource Allocation in Mobile Edge Computing Environments. Intelligent Automation & Soft Computing. 37(1). 1–16. 3 indexed citations

Hu, Yanxin, et al.. (2022). Overview of Energy Consumption Optimization in Mobile Edge Computing. Journal of Physics Conference Series. 2209(1). 12029–12029. 2 indexed citations

Liu, Jialei, et al.. (2022). Cooperative Resource Allocation for Computation-Intensive IIoT Applications in Aerial Computing. IEEE Internet of Things Journal. 10(11). 9295–9307. 15 indexed citations

Shi, Congming, et al.. (2021). A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm. EURASIP Journal on Wireless Communications and Networking. 2021(1). 215 indexed citations breakdown →

Liu, Jialei, Ao Zhou, Chunhong Liu, et al.. (2021). Reliability-Enhanced Task Offloading in Mobile Edge Computing Environments. IEEE Internet of Things Journal. 9(13). 10382–10396. 44 indexed citations

Liu, Jialei, Chunhong Liu, Bo Wang, Guowei Gao, & Shangguang Wang. (2021). Optimized Task Allocation for IoT Application in Mobile-Edge Computing. IEEE Internet of Things Journal. 9(13). 10370–10381. 16 indexed citations

Wang, Mengqing, et al.. (2020). Deep Unsupervised Workload Sequence Anomaly Detection with Fusion of Spatial and Temporal Features in the Cloud. 141–148. 1 indexed citations

Wang, Bo, Jie Tang, Rui Zhang, et al.. (2020). A Task-Aware Fine-Grained Storage Selection Mechanism for In-Memory Big Data Computing Frameworks. International Journal of Parallel Programming. 49(1). 25–50. 2 indexed citations

10.

Liu, Jialei, Shangguang Wang, Ao Zhou, Jinliang Xu, & Fangchun Yang. (2019). SLA-driven container consolidation with usage prediction for green cloud computing. Frontiers of Computer Science. 14(1). 42–52. 25 indexed citations

11.

Liu, Jialei, Shangguang Wang, Ao Zhou, & Fangchun Yang. (2018). A Virtual Machine Placement Policy via Biogeography-based Optimization in the Cloud. 1–8. 2 indexed citations

12.

Zhang, Tianjun, et al.. (2017). Stress Inversion of Coal with a Gas Drilling Borehole and the Law of Crack Propagation. Energies. 10(11). 1743–1743. 11 indexed citations

13.

Liu, Jialei, Shangguang Wang, Ao Zhou, Rajkumar Buyya, & Fangchun Yang. (2017). Availability-Aware Virtual Cluster Allocation in Bandwidth-Constrained Datacenters. IEEE Transactions on Services Computing. 13(3). 425–436. 21 indexed citations

14.

Liu, Jialei, Shangguang Wang, Ao Zhou, et al.. (2017). Towards Bandwidth Guaranteed Virtual Cluster Reallocation in the Cloud. The Computer Journal. 61(9). 1284–1295. 1 indexed citations

15.

Liu, Jialei, Shangguang Wang, Ao Zhou, et al.. (2016). Using Proactive Fault-Tolerance Approach to Enhance Cloud Service Reliability. IEEE Transactions on Cloud Computing. 6(4). 1191–1202. 93 indexed citations

16.

Liu, Jialei, Shangguang Wang, Ao Zhou, & Fangchun Yang. (2015). PFT-CCKP: A proactive fault tolerance mechanism for data center network. 79–80. 2 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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