Yu‐ya Cui

1.8k citations
21 papers · 1.5k · 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 · 324 citations
3240+2+5Years since publication100200300

Peers

Yu‐ya Cui
Comparison fields: 5 of 67
  • Computer Networks and Communications 1.1k
  • Computational Mathematics 11
  • Building and Construction 164
  • Electrical and Electronic Engineering 669
  • Transportation 75
Replace Laisen Nie with:
Laisen Nie China
Rongbo Zhu China
Yuben Qu China
Marco Gramaglia Spain
Guoming Tang China
Chunhua Hu China
Shuai Yu China
Francesco Malandrino Italy
Xianglin Wei China
Feng Zeng China
Yu‐ya Cui relative to Laisen Nie China Laisen Nie's profile →
Citations per field
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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 →
2018324
2 2018135
3 2018119
4 2020111
5 2018109
6 201991
7 201991
8 201989
9 201983
10 201978
11 201872
12 202162
13 202251
14 202330
15 201926
16 202117
17 202310
18 20214
19 20192
20 20251

About Yu‐ya Cui

Yu‐ya Cui is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Building and Construction and Biomedical Engineering, having authored 21 papers that have together received 1.5k 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), Age of Information Optimization (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Cloud Computing and Resource Management (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computational Mathematics (11 citations), Building and Construction (164 citations), Electrical and Electronic Engineering (669 citations) and Transportation (75 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 Internet of Things Journal, Future Generation Computer Systems and Frontiers of Computer Science.

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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