May Wu

448 citations
10 papers · 280 · h-index 4

Impact in

Papers in

Journals
Microscopy and Microanalysis (1 paper)IEEE Vehicular Technology Magazine (1 paper)2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)

In The Last Decade

May Wu

7 papers receiving 272 citations

Peers

May Wu
Comparison fields: 5 of 39
  • Computer Networks and Communications 113
  • Electrical and Electronic Engineering 214
  • Automotive Engineering 41
  • Transportation 16
  • Building and Construction 32
Replace JoonBeom Kim with:
JoonBeom Kim United States
Pedro Rito Portugal
Danilo Amendola Italy
Kazuaki Obana Japan
Nabeel Akhtar United States
Yuwei Xu China
Stefan Dietzel Germany
Manuel Urueña Spain
Dongdai Zhou China
Chakkaphong Suthaputchakun United Kingdom
May Wu relative to JoonBeom Kim United States JoonBeom Kim's profile →
Citations per field
00.5×
JoonBeom Kim · 1×
Citations per year

Countries citing papers authored by May Wu

Since Specialization
Citations

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

Fields of papers citing papers by May Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2018225
2 202228
3 200716
4 20075
5 20083
6 20032
7 20061
8 20070
9 20060
10 20080

About May Wu

May Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Transportation, Building and Construction and Infectious Diseases, having authored 10 papers that have together received 280 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (5 papers), Wireless Communication Networks Research (4 papers), Advanced MIMO Systems Optimization (4 papers), Advanced Wireless Communication Techniques (4 papers), Advanced Wireless Network Optimization (3 papers), Full-Duplex Wireless Communications (1 paper), Vehicular Ad Hoc Networks (VANETs) (1 paper) and Traffic Prediction and Management Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (113 citations), Electrical and Electronic Engineering (214 citations), Automotive Engineering (41 citations), Transportation (16 citations) and Building and Construction (32 citations). May Wu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Hao Ye, Le Liang, JoonBeom Kim, Lu Lu, Geoffrey Ye Li, Brent Carlton, Deepak Dasalukunte, Xiaosen Liu, Hechen Wang and Renzhi Liu. Their work appears in journals such as Microscopy and Microanalysis, IEEE Vehicular Technology Magazine, 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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