Yu‐ya Cui

1.8k total citations · 1 hit paper
21 papers, 1.5k citations indexed

About

Yu‐ya Cui is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Yu‐ya Cui has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 9 papers in Electrical and Electronic Engineering and 5 papers in Information Systems. Recurrent topics in Yu‐ya Cui's work include IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Yu‐ya Cui is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Yu‐ya Cui collaborates with scholars based in China and Australia. Yu‐ya Cui's co-authors include Degan Zhang, Xiaohuan Liu, Degan Zhang, Ting Zhang, Ting Zhang, Guoqiang Mao, Ting Zhang, Ge Hui, Si Liu and Ting Zhang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and IEEE Internet of Things Journal.

In The Last Decade

Yu‐ya Cui

20 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks

2018 319 citations Degan Zhang, Ge Hui et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu‐ya Cui China	16	1.0k	660	203	164	136	21	1.5k
Marco Gramaglia Spain	25	1.4k 1.4×	947 1.4×	232 1.1×	107 0.7×	92 0.7×	93	1.9k
Rongbo Zhu China	21	658 0.6×	441 0.7×	310 1.5×	112 0.7×	116 0.9×	101	1.3k
Kai Xing China	21	814 0.8×	419 0.6×	311 1.5×	107 0.7×	79 0.6×	60	1.3k
Fanzi Zeng China	16	609 0.6×	479 0.7×	264 1.3×	97 0.6×	103 0.8×	35	1.2k
Weigang Wu China	17	946 0.9×	410 0.6×	387 1.9×	81 0.5×	133 1.0×	121	1.5k
Yacine Ghamri-Doudane France	17	861 0.8×	582 0.9×	170 0.8×	80 0.5×	57 0.4×	96	1.2k
Xiumin Wang China	19	658 0.6×	645 1.0×	443 2.2×	126 0.8×	66 0.5×	81	1.6k
Guoming Tang China	20	656 0.6×	442 0.7×	206 1.0×	102 0.6×	139 1.0×	84	1.1k
Asma Adnane United Kingdom	15	739 0.7×	557 0.8×	286 1.4×	66 0.4×	91 0.7×	31	1.2k
Shuai Yu China	20	977 0.9×	566 0.9×	587 2.9×	158 1.0×	195 1.4×	36	1.7k

Countries citing papers authored by Yu‐ya Cui

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐ya Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐ya Cui. 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 Yu‐ya Cui. The network helps show where Yu‐ya Cui may publish in the future.

Co-authorship network of co-authors of Yu‐ya Cui

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

All Works

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20 of 20 papers shown

Cui, Yu‐ya, et al.. (2025). Cooperative Task Offloading Strategy for Vehicular Edge Computing Based on Multi-Agent Deep Reinforcement Learning. Future Generation Computer Systems. 174. 107950–107950.

Cui, Yu‐ya, et al.. (2023). Multiagent Reinforcement Learning-Based Cooperative Multitype Task Offloading Strategy for Internet of Vehicles in B5G/6G Network. IEEE Internet of Things Journal. 10(14). 12248–12260. 29 indexed citations

Cui, Yu‐ya, et al.. (2023). Multi-user reinforcement learning based task migration in mobile edge computing. Frontiers of Computer Science. 18(4). 7 indexed citations

Cui, Yu‐ya, et al.. (2022). A novel offloading scheduling method for mobile application in mobile edge computing. Wireless Networks. 28(6). 2345–2363. 48 indexed citations

Liu, Xiaohuan, Degan Zhang, Ting Zhang, et al.. (2021). Novel best path selection approach based on hybrid improved A* algorithm and reinforcement learning. Applied Intelligence. 51(12). 9015–9029. 59 indexed citations

Cui, Yu‐ya, Degan Zhang, Ting Zhang, Peng Yang, & Haoli Zhu. (2021). A New Approach on Task Offloading Scheduling for Application of Mobile Edge Computing. 1–6. 17 indexed citations

Cui, Yu‐ya, et al.. (2021). Distributed Task Migration Optimization in MEC by Deep Reinforcement Learning Strategy. 411–414. 3 indexed citations

Cui, Yu‐ya, et al.. (2020). Novel method of mobile edge computation offloading based on evolutionary game strategy for IoT devices. AEU - International Journal of Electronics and Communications. 118. 153134–153134. 109 indexed citations

Liu, Xiaohuan, Degan Zhang, Ting Zhang, & Yu‐ya Cui. (2019). New Method of the Best Path Selection with Length Priority Based on Reinforcement Learning Strategy. 16. 1–6. 1 indexed citations

10.

Zhang, Degan, et al.. (2019). A New Algorithm of the Best Path Selection Based on Machine Learning. IEEE Access. 7. 126913–126928. 91 indexed citations

11.

Liu, Si, et al.. (2019). Dynamic Analysis for the Average Shortest Path Length of Mobile Ad Hoc Networks Under Random Failure Scenarios. IEEE Access. 7. 21343–21358. 91 indexed citations

12.

Zhang, Degan, Yu‐ya Cui, & Ting Zhang. (2019). New quantum-genetic based OLSR protocol (QG-OLSR) for Mobile Ad hoc Network. Applied Soft Computing. 80. 285–296. 80 indexed citations

13.

Zhang, Degan, Xiaohuan Liu, Yu‐ya Cui, Lu Chen, & Ting Zhang. (2019). A kind of novel RSAR protocol for mobile vehicular Ad hoc network. 2(2). 111–125. 26 indexed citations

14.

Liu, Xiaohuan, Degan Zhang, Ting Zhang, & Yu‐ya Cui. (2019). Novel Approach of The Best Path Selection Based on Prior Knowledge Reinforcement Learning. 88. 148–154. 2 indexed citations

15.

Zhang, Degan, Pengzhen Zhao, Yu‐ya Cui, et al.. (2019). A New Method of Mobile Ad Hoc Network Routing Based on Greed Forwarding Improvement Strategy. IEEE Access. 7. 158514–158524. 87 indexed citations

16.

Zhang, Degan, Chen Chen, Yu‐ya Cui, & Ting Zhang. (2018). New Method of Energy Efficient Subcarrier Allocation Based on Evolutionary Game Theory. Mobile Networks and Applications. 26(2). 523–536. 118 indexed citations

17.

Zhang, Degan, Ge Hui, Ting Zhang, et al.. (2018). New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks. IEEE Transactions on Intelligent Transportation Systems. 20(4). 1517–1530. 319 indexed citations breakdown →

18.

Zhang, Degan, et al.. (2018). Novel reliable routing method for engineering of internet of vehicles based on graph theory. Engineering Computations. 36(1). 226–247. 72 indexed citations

19.

Zhang, Degan, Si Liu, Xiaohuan Liu, Ting Zhang, & Yu‐ya Cui. (2018). Novel dynamic source routing protocol (DSR) based on genetic algorithm‐bacterial foraging optimization (GA‐BFO). International Journal of Communication Systems. 31(18). 109 indexed citations

20.

Zhang, Degan, Ting Zhang, Yue Dong, et al.. (2018). Novel optimized link state routing protocol based on quantum genetic strategy for mobile learning. Journal of Network and Computer Applications. 122. 37–49. 135 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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