Weilu Gao

5.6k total citations · 1 hit paper
93 papers, 4.5k citations indexed

About

Weilu Gao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Weilu Gao has authored 93 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 36 papers in Materials Chemistry and 33 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Weilu Gao's work include Photonic and Optical Devices (25 papers), Carbon Nanotubes in Composites (21 papers) and Neural Networks and Reservoir Computing (18 papers). Weilu Gao is often cited by papers focused on Photonic and Optical Devices (25 papers), Carbon Nanotubes in Composites (21 papers) and Neural Networks and Reservoir Computing (18 papers). Weilu Gao collaborates with scholars based in United States, Japan and China. Weilu Gao's co-authors include Junichiro Kono, Qianfan Xu, Jie Shu, Ciyuan Qiu, Pulickel M. Ajayan, Róbert Vajtai, Lijuan Xie, Qi Zhang, Xiaowei He and Jun Lou and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Weilu Gao

86 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Excitation of Plasmonic Waves in Graphene by Guided-Mode Resonances

2012 585 citations Weilu Gao, Ciyuan Qiu et al. profile →

Peers

Weilu Gao

EEE

MC

BE

AMPO

EOMM

Ueli Koch Switzerland

Xing Zhu China

Shunping Zhang China

Hai Hu China

Yi Li China

Jorik van de Groep Netherlands

Manfred Eich Germany

Angela Demetriadou United Kingdom

Valentyn S. Volkov Russia

Ueli Koch Switzerland

Weilu Gao

2.3k ×1.1

EEE

1.1k ×0.6

MC

942 ×0.5

BE

883 ×0.7

AMPO

733 ×0.6

EOMM

Citations per year, relative to Weilu Gao Weilu Gao (= 1×) peers Ueli Koch

Countries citing papers authored by Weilu Gao

Since Specialization

Citations

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

Fields of papers citing papers by Weilu Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weilu Gao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yu, Cunxi, et al.. (2024). Digitized Phase‐Change Material Heterostack for Transmissive Diffractive Optical Neural Network. SHILAP Revista de lepidopterología. 6(6). 1 indexed citations

2.

Schirato, Andrea, Oliver S. Dewey, Andrey Baydin, et al.. (2023). Coupling into Hyperbolic Carbon-Nanotube Films with a Deep-Etched Antenna Grating. ACS Photonics. 10(12). 4121–4132. 3 indexed citations

3.

Gao, Weilu, et al.. (2023). Universal Approach for Calibrating Large‐Scale Electronic and Photonic Crossbar Arrays. SHILAP Revista de lepidopterología. 5(10). 4 indexed citations

4.

Chen, Ruiyang, et al.. (2023). LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks. 202–218.

5.

Lou, Minhan, Oliver S. Dewey, Nina Hong, et al.. (2023). Engineering chirality at wafer scale with ordered carbon nanotube architectures. Nature Communications. 14(1). 7380–7380. 18 indexed citations

6.

Gao, Weilu, et al.. (2023). Phonon-Assisted Intertube Electronic Transport in an Armchair Carbon Nanotube Film. Physical Review Letters. 130(17). 176303–176303. 5 indexed citations

7.

Baydin, Andrey, et al.. (2022). Carbon Nanotube Devices for Quantum Technology. Materials. 15(4). 1535–1535. 35 indexed citations

8.

Zhao, Liang, Ruiyang Chen, Scott Dietrich, et al.. (2022). Wafer-Scale Full-Coverage Self-Limiting Assembly of Particles on Flexible Substrates. ACS Applied Materials & Interfaces. 14(40). 46095–46102. 3 indexed citations

9.

Jia, Wei, Minhan Lou, Weilu Gao, & Berardi Sensale‐Rodriguez. (2022). Design and fabrication of a terahertz dual-plane hologram and extended-depth-of-focus diffractive lens. Optics Continuum. 1(8). 1722–1722. 12 indexed citations

10.

Lou, Minhan, et al.. (2022). Effects of interlayer reflection and interpixel interaction in diffractive optical neural networks. Optics Letters. 48(2). 219–219. 3 indexed citations

11.

Chen, Ruiyang, et al.. (2022). Physics‐Aware Machine Learning and Adversarial Attack in Complex‐Valued Reconfigurable Diffractive All‐Optical Neural Network. Laser & Photonics Review. 16(12). 20 indexed citations

12.

Chen, Ruiyang, et al.. (2022). Device‐System End‐to‐End Design of Photonic Neuromorphic Processor Using Reinforcement Learning. Laser & Photonics Review. 17(2). 7 indexed citations

13.

Gao, Weilu, Xinwei Li, Yohei Yomogida, et al.. (2021). Band structure dependent electronic localization in macroscopic films of single-chirality single-wall carbon nanotubes. Carbon. 183. 774–779. 6 indexed citations

14.

Gao, Weilu & Junichiro Kono. (2019). Science and applications of wafer-scale crystalline carbon nanotube films prepared through controlled vacuum filtration. Royal Society Open Science. 6(3). 181605–181605. 42 indexed citations

15.

Gao, Weilu, Natsumi Komatsu, Lauren W. Taylor, et al.. (2019). Macroscopically aligned carbon nanotubes for flexible and high-temperature electronics, optoelectronics, and thermoelectrics. Journal of Physics D Applied Physics. 53(6). 63001–63001. 20 indexed citations

16.

Sui, Chao, Yingchao Yang, Robert J. Headrick, et al.. (2018). Directional sensing based on flexible aligned carbon nanotube film nanocomposites. Nanoscale. 10(31). 14938–14946. 43 indexed citations

17.

Gao, Weilu, Xinwei Li, Motoaki Bamba, & Junichiro Kono. (2018). Continuous transition between weak and ultrastrong coupling through exceptional points in carbon nanotube microcavity exciton–polaritons. Nature Photonics. 12(6). 362–367. 106 indexed citations

18.

Li, Xinwei, Motoaki Bamba, Qi Zhang, et al.. (2018). Vacuum Bloch–Siegert shift in Landau polaritons with ultra-high cooperativity. Nature Photonics. 12(6). 324–329. 91 indexed citations

19.

Yanagi, Kazuhiro, Yota Ichinose, Yohei Yomogida, et al.. (2018). Intersubband plasmons in the quantum limit in gated and aligned carbon nanotubes. Nature Communications. 9(1). 1121–1121. 56 indexed citations

20.

Gao, Weilu, Ciyuan Qiu, & Xiaowei He. (2017). Low-Dimensional Nanomaterials and Their Functional Architectures: Synthesis, Properties, and Applications. Journal of Nanomaterials. 2017. 1–2. 3 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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