Lianlin Li

2.4k citations
20 papers · 1.8k indexed · 3 hit papers · h-index 12

Lianlin Li

20 papers receiving 1.7k citations

Hit Papers

A programmable diffractive deep neural network ba...3912019202620212023100200300400

Peers

Lianlin Li
Comparison fields: 5 of 70
  • Electronic, Optical and Magnetic Materials 1.2k
  • Acoustics and Ultrasonics 50
  • Aerospace Engineering 1.1k
  • Electrical and Electronic Engineering 776
  • Developmental Biology 21
Replace Qiang Xiao with:
Qiang Xiao China
Zhangjie Luo China
Yihao Xu United States
Tianshuo Qiu China
Ya Shuang China
Dianjing Liu United States
Dayu Zhu United States
Philipp del Hougne France
Hanting Zhao China
Guo Dong Bai China
Lianlin Li relative to Qiang Xiao China Qiang Xiao's profile →
Citations per field
00.5×11.5×
Qiang Xiao · 1×
Citations per year

Countries citing papers authored by Lianlin Li

Since Specialization
Citations

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

Fields of papers citing papers by Lianlin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20243
3 2023106
4 202335
5
A programmable diffractive deep neural network based on a digital-coding metasurface arraybreakdown →
2022391
6 2022116
7 20212
8 202037
9 20204
10
Smart metasurface with self-adaptively reprogrammable functionsbreakdown →
2019366
11
Machine-learning reprogrammable metasurface imagerbreakdown →
2019461
12 201979
13 201942
14 20181
15 201818
16 20182
17 201774
18 20173
19 20142
20 201439

About Lianlin Li

Lianlin Li is a scholar working on Electronic, Optical and Magnetic Materials, Aerospace Engineering and Developmental Biology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metamaterials and Metasurfaces Applications (15 papers), Antenna Design and Analysis (10 papers), Advanced Antenna and Metasurface Technologies (6 papers), Plasmonic and Surface Plasmon Research (2 papers), Neural Networks and Reservoir Computing (2 papers), Advanced Memory and Neural Computing (2 papers), Microwave Imaging and Scattering Analysis (2 papers) and Geophysical Methods and Applications (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.2k citations), Acoustics and Ultrasonics (50 citations) and Aerospace Engineering (1.1k citations). Lianlin Li has collaborated with scholars based in China, Bangladesh and Singapore. Frequent co-authors include Tie Jun Cui, Qian Ma, Che Liu, Guo Dong Bai, Hong Bo Jing, Cheng‐Wei Qiu, Cheng Yang, Hengxin Ruan, Ya Shuang and Ying Li. Their work appears in journals such as Nature Communications, Optics Letters and Advanced Science.

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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