May Wu

448 total citations
10 papers, 280 citations indexed

About

May Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Transportation. According to data from OpenAlex, May Wu has authored 10 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Computer Networks and Communications and 1 paper in Transportation. Recurrent topics in May Wu's work include Cooperative Communication and Network Coding (5 papers), Wireless Communication Networks Research (4 papers) and Advanced MIMO Systems Optimization (4 papers). May Wu is often cited by papers focused on Cooperative Communication and Network Coding (5 papers), Wireless Communication Networks Research (4 papers) and Advanced MIMO Systems Optimization (4 papers). May Wu collaborates with scholars based in United States, China and Netherlands. May Wu's co-authors include Le Liang, Geoffrey Ye Li, JoonBeom Kim, Lu Lu, Hao Ye, Xiaosen Liu, Deepak Dasalukunte, Hechen Wang, Brent Carlton and Richard Dorrance and has published in prestigious journals such as Microscopy and Microanalysis, IEEE Vehicular Technology Magazine and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

May Wu

7 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
May Wu United States 4 214 113 65 41 32 10 280
JoonBeom Kim United States 3 300 1.4× 151 1.3× 71 1.1× 56 1.4× 34 1.1× 3 385
Pedro Rito Portugal 12 420 2.0× 112 1.0× 42 0.6× 35 0.9× 38 1.2× 89 533
Kazuaki Obana Japan 5 265 1.2× 179 1.6× 37 0.6× 68 1.7× 29 0.9× 16 344
Arnaud Kaiser France 7 158 0.7× 116 1.0× 67 1.0× 67 1.6× 26 0.8× 18 226
Dongdai Zhou China 9 186 0.9× 110 1.0× 28 0.4× 33 0.8× 14 0.4× 23 297
Inès Ben Jemaa France 7 172 0.8× 119 1.1× 64 1.0× 69 1.7× 23 0.7× 13 226
Ahmad Khademzadeh Iran 11 290 1.4× 229 2.0× 37 0.6× 20 0.5× 16 0.5× 35 394
Stefan Dietzel Germany 12 316 1.5× 269 2.4× 116 1.8× 53 1.3× 20 0.6× 41 427
Bertrand Ducourthial France 10 232 1.1× 239 2.1× 32 0.5× 44 1.1× 13 0.4× 35 327
Marc Bechler Germany 8 297 1.4× 349 3.1× 60 0.9× 69 1.7× 18 0.6× 20 478

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-authorship network of co-authors of May Wu

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

All Works

10 of 10 papers shown
1.
Wang, Hechen, Renzhi Liu, Richard Dorrance, et al.. (2022). A 32.2 TOPS/W SRAM Compute-in-Memory Macro Employing a Linear 8-bit C-2C Ladder for Charge Domain Computation in 22nm for Edge Inference. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 36–37. 28 indexed citations
2.
Ye, Hao, Le Liang, Geoffrey Ye Li, et al.. (2018). Machine Learning for Vehicular Networks: Recent Advances and Application Examples. IEEE Vehicular Technology Magazine. 13(2). 94–101. 225 indexed citations
3.
4.
5.
Zhang, Wei, Khaled B. Letaief, Xiang‐Gen Xia, May Wu, & Wenwu Zhu. (2007). Advances in Space-Time/Frequency Coding for Next Generation Broadband Wireless Communications. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 51. 471–474.
6.
Liu, Fuqiang, et al.. (2007). Co-Channel Interference Mitigation in MIMO-OFDM System. 204–208. 16 indexed citations
7.
Wu, May, et al.. (2007). Low Overhead CQI Feedback in Multi-Carrier Systems. 371–375. 5 indexed citations
8.
9.
Li, Shaoqian, et al.. (2006). A Selective Co-Channel Interference Mitigation Method for Alamouti Code. 2. 149–154. 1 indexed citations
10.
Botton, G. A., Sorin Lazar, May Wu, F.D. Tichelaar, & H.W. Zandbergen. (2003). Materials Science Applications Of A Monochromated TEM. Microscopy and Microanalysis. 9(S02). 112–113. 2 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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