Yahui Wu

445 citations
68 papers · 299 · h-index 10

Impact in

Papers in

Yahui Wu

57 papers receiving 288 citations

Peers

Yahui Wu
Comparison fields: 5 of 83
  • Computational Mathematics 7
  • Computer Networks and Communications 147
  • Computer Science Applications 19
  • Statistical and Nonlinear Physics 36
  • Transportation 11
Replace Yuuichi Teranishi with:
Yuuichi Teranishi Japan
Debin Liu China
István Hegedűs Hungary
Roc Meseguer Spain
Lorenzo Valerio Italy
Jiaqing Dong China
Cándido López-Garcı́a Spain
Do Hyeon Kim South Korea
Prabodini Semasinghe Canada
Yahui Wu relative to Yuuichi Teranishi Japan Yuuichi Teranishi's profile →
Citations per field
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Yuuichi Teranishi · 1×
Citations per year

Countries citing papers authored by Yahui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yahui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yahui Wu, 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 Yahui Wu Line = papers co-authored together Yahui Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201229
2 201416
3 202015
4 202213
5 202212
6 202512
7 202512
8 201511
9 201910
10 20179
11 20178
12 20148
13 20138
14 20127
15 20146
16 20196
17 20226
18 20136
19 20255
20 20245

About Yahui Wu

Yahui Wu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering and Information Systems, having authored 68 papers that have together received 299 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (28 papers), Mobile Ad Hoc Networks (21 papers), Caching and Content Delivery (16 papers), Age of Information Optimization (8 papers), Privacy-Preserving Technologies in Data (7 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Complex Network Analysis Techniques (5 papers) and Cooperative Communication and Network Coding (4 papers). The work is most often cited by research in Computational Mathematics (7 citations), Computer Networks and Communications (147 citations), Computer Science Applications (19 citations), Statistical and Nonlinear Physics (36 citations) and Transportation (11 citations). Yahui Wu has collaborated with scholars based in China, United Kingdom and Malaysia. Frequent co-authors include Su Deng, Hongbin Huang, Jianwei Cui, Rui Wang, Yiqi Deng, Qinggang Meng, Jialin Zhong, Yuanlin Gu, Jiang Zhang and Xianyao Ping. Their work appears in journals such as IEEE Systems Journal, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Industrial Informatics, PLoS ONE and Communications in Nonlinear Science and Numerical Simulation.

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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