Yaya Mao

2.0k citations
188 papers · 1.4k · h-index 18

Impact in

Papers in

Yaya Mao

161 papers receiving 1.4k citations

Peers

Yaya Mao
Comparison fields: 5 of 57
  • Electrical and Electronic Engineering 1.3k
  • Computer Vision and Pattern Recognition 196
  • Atomic and Molecular Physics, and Optics 285
  • Artificial Intelligence 170
  • Statistical and Nonlinear Physics 63
Replace Jianxin Ren with:
Jianxin Ren China
Meihua Bi China
Eric Peeters Belgium
Kangsheng Chen China
Shuaidong Chen China
Carlos Sánchez‐Azqueta Spain
Xiaozhou Li China
Kerem Akarvardar United States
Tingwei Wu China
Sang-Yung Shin South Korea
Yaya Mao relative to Jianxin Ren China Jianxin Ren's profile →
Citations per field
00.5×1.5×2.5×
Jianxin Ren · 1×
Citations per year

Countries citing papers authored by Yaya Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yaya Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019135
2 202046
3 201946
4 202045
5 202144
6 201937
7 201834
8 201932
9 202330
10 202129
11 202328
12 202027
13 202126
14 201924
15 202023
16 201822
17 202221
18 202118
19 201917
20 202017

About Yaya Mao

Yaya Mao is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 188 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optical Network Technologies (127 papers), Advanced Photonic Communication Systems (82 papers), Photonic and Optical Devices (44 papers), Advanced Fiber Laser Technologies (35 papers), Advanced Fiber Optic Sensors (34 papers), graph theory and CDMA systems (32 papers), Optical Wireless Communication Technologies (27 papers) and PAPR reduction in OFDM (22 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.3k citations), Computer Vision and Pattern Recognition (196 citations), Atomic and Molecular Physics, and Optics (285 citations), Artificial Intelligence (170 citations) and Statistical and Nonlinear Physics (63 citations). Yaya Mao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Bo Liu, Jianxin Ren, Lilong Zhao, Yongfeng Wu, Shuaidong Chen, Tingting Sun, Rahat Ullah, Xiangyu Wu, Tong Nan and Jin Wang. Their work appears in journals such as Optics Express, Journal of Lightwave Technology, Optics Letters, IEEE photonics journal and Optics Communications.

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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