Long Miao

40 papers receiving 1.2k citations

Long Miao's Hit Papers

A programmable diffractive deep neural network based on a digital-coding metasurface array 2022 · 424 citations
4240+1+3Years since publication100200300400

Peers

Long Miao
Comparison fields: 5 of 125
  • Electronic, Optical and Magnetic Materials 494
  • Acoustics and Ultrasonics 24
  • Aerospace Engineering 439
  • Sensory Systems 64
  • Aging 18
Replace Surya Pal Singh with:
Surya Pal Singh India
Jiaxuan Wang China
Seongwook Choi South Korea
Yuanlong Zhang China
Mi Li China
Mahesh P. Abegaonkar India
Hui Qiao China
Yingli Zhang China
Ruixing Wang China
Long Miao relative to Surya Pal Singh India Surya Pal Singh's profile →
Citations per field
00.5×10×13.4×
Surya Pal Singh · 1×
Citations per year

Countries citing papers authored by Long Miao

Since Specialization
Citations

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

Fields of papers citing papers by Long Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A programmable diffractive deep neural network based on a digital-coding metasurface array
Hit paper breakdown →
2022424
2
A wireless communication scheme based on space- and frequency-division multiplexing using digital metasurfaces
Hit paper breakdown →
2021350
3 202055
4 201946
5 202033
6 202330
7 202129
8 201929
9 202224
10 202024
11 202423
12 202020
13 202420
14 202320
15 201719
16 202117
17 202216
18 202112
19 202310
20 20219

About Long Miao

Long Miao is a scholar working on Molecular Biology, Sensory Systems, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Speech and Hearing, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (8 papers), Noise Effects and Management (5 papers), Hearing Loss and Rehabilitation (5 papers), Microplastics and Plastic Pollution (4 papers), Metamaterials and Metasurfaces Applications (4 papers), Advanced Antenna and Metasurface Technologies (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Nanoparticles: synthesis and applications (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (494 citations), Acoustics and Ultrasonics (24 citations), Aerospace Engineering (439 citations), Sensory Systems (64 citations) and Aging (18 citations). Long Miao has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Tie Jun Cui, Qiang Cheng, Xiao Zhou, Qiang Xiao, Qian Ma, Che Liu, Ming Zheng Chen, Wenming Yu, Wankai Tang and Lei Zhang. Their work appears in journals such as Environmental Science and Pollution Research, Scientific Reports, BioMed Research International, Nature Electronics and Ceramics International.

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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