Yu‐ya Cui

1.8k citations
21 papers · 1.6k · 1 hit paper · h-index 16

Impact in

Papers in

Yu‐ya Cui

21 papers receiving 1.5k citations

Yu‐ya Cui's Hit Papers

New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks 2018 · 340 citations
3400+2+5Years since publication100200300

Peers

Yu‐ya Cui
Comparison fields: 5 of 69
  • Computer Networks and Communications 1.1k
  • Computational Mathematics 11
  • Transportation 82
  • Building and Construction 166
  • Electrical and Electronic Engineering 698
Replace Laisen Nie with:
Laisen Nie China
Francesco Malandrino Italy
Yuben Qu China
Jérémie Leguay France
Wanjiun Liao Taiwan
Guoming Tang China
Xianglin Wei China
Shouzhi Xu China
Yacine M. Ghamri-Doudane France
Nan Zhao China
Yu‐ya Cui relative to Laisen Nie China Laisen Nie's profile →
Citations per field
00.5×2×3×3.6×
Laisen Nie · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yu‐ya Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu‐ya Cui Line = papers co-authored together Yu‐ya Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks
Hit paper breakdown →
2018340
2 2018137
3 2018123
4 2020116
5 2018113
6 201996
7 201994
8 201991
9 201987
10 201981
11 201874
12 202166
13 202257
14 202341
15 201928
16 202119
17 202311
18 20214
19 20254
20 20192

About Yu‐ya Cui

Yu‐ya Cui is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Building and Construction and Automotive Engineering, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (7 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Mobile Ad Hoc Networks (6 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Age of Information Optimization (5 papers), Traffic Prediction and Management Techniques (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computational Mathematics (11 citations), Transportation (82 citations), Building and Construction (166 citations) and Electrical and Electronic Engineering (698 citations). Yu‐ya Cui has collaborated with scholars based in China and Australia. Frequent co-authors include Degan Zhang, Xiaohuan Liu, Degan Zhang, Ting Zhang, Ting Zhang, Guoqiang Mao, Ge Hui, Ting Zhang, Si Liu and Chen Chen. Their work appears in journals such as IEEE Access, Wireless Networks, IEEE Transactions on Intelligent Transportation Systems, Frontiers of Computer Science and IEEE Internet of Things Journal.

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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