Lingxiao Wan

709 total citations · 2 hit papers
13 papers, 431 citations indexed

About

Lingxiao Wan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Lingxiao Wan has authored 13 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Lingxiao Wan's work include Neural Networks and Reservoir Computing (12 papers), Quantum Information and Cryptography (7 papers) and Optical Network Technologies (6 papers). Lingxiao Wan is often cited by papers focused on Neural Networks and Reservoir Computing (12 papers), Quantum Information and Cryptography (7 papers) and Optical Network Technologies (6 papers). Lingxiao Wan collaborates with scholars based in Singapore, China and United Kingdom. Lingxiao Wan's co-authors include A. Q. Liu, L. C. Kwek, Hui Zhang, Yuzhi Shi, Hong Cai, Xianshu Luo, Limin Xiao, Hanqing Zhu, Bo Wang and Xudong Jiang and has published in prestigious journals such as Nature Communications, Science Advances and Light Science & Applications.

In The Last Decade

Lingxiao Wan

12 papers receiving 404 citations

Hit Papers

Space-efficient optical computing with an integrated chip... 2022 2026 2023 2024 2022 2023 50 100 150 200
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.

  1. Space-efficient optical computing with an integrated chip diffractive neural network
    2022 224 citations Hanqing Zhu, Jun Zou et al. Nature Communications profile →
  2. Recent progress in quantum photonic chips for quantum communication and internet
    2023 134 citations Wei Luo, Lin Cao et al. Light Science & Applications profile →

Peers

Lingxiao Wan
Maziyar Milanizadeh Italy
You Wang China
Chenzhi Yuan China
Tingzhao Fu China
Ruo-Jing Ren China
Alexander Sludds United States
Aashu Jha United States
Cheng-Qiu Hu China
Marc Jofre Spain
Beatrice Da Lio Denmark
Maziyar Milanizadeh Italy
Lingxiao Wan
Citations per year, relative to Lingxiao Wan Lingxiao Wan (= 1×) peers Maziyar Milanizadeh

Countries citing papers authored by Lingxiao Wan

Since Specialization
Citations

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

Fields of papers citing papers by Lingxiao Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingxiao Wan

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

All Works

13 of 13 papers shown
1.
Zhang, Hui, Lingxiao Wan, Stefano Paesani, et al.. (2023). Encoding Error Correction in an Integrated Photonic Chip. PRX Quantum. 4(3). 6 indexed citations
2.
Luo, Wei, Lin Cao, Yuzhi Shi, et al.. (2023). Recent progress in quantum photonic chips for quantum communication and internet. Light Science & Applications. 12(1). 175–175. 134 indexed citations breakdown →
3.
Zhang, Hui, Lingxiao Wan, Wai‐Keong Mok, et al.. (2023). Efficient option pricing with a unary-based photonic computing chip and generative adversarial learning. Photonics Research. 11(10). 1703–1703. 6 indexed citations
4.
Zhang, Hui, Lingxiao Wan, Liang Shi, et al.. (2022). Molecular Property Prediction with Photonic Chip‐Based Machine Learning. Laser & Photonics Review. 17(3). 11 indexed citations
5.
Li, Yuan, Lingxiao Wan, Hui Zhang, et al.. (2022). Quantum Fredkin and Toffoli gates on a versatile programmable silicon photonic chip. npj Quantum Information. 8(1). 23 indexed citations
6.
Lin, Hsiao-Chung, Hui Zhang, Lingxiao Wan, et al.. (2022). Quantum Photonic Chip for Binary Classification of Financial Data. 1–2. 1 indexed citations
7.
Zhu, Hanqing, Jun Zou, Hui Zhang, et al.. (2022). Space-efficient optical computing with an integrated chip diffractive neural network. Nature Communications. 13(1). 1044–1044. 224 indexed citations breakdown →
8.
Wan, Lingxiao, et al.. (2022). A Boson Sampling Chip for Graph Perfect Matching. Conference on Lasers and Electro-Optics. FF2I.6–FF2I.6. 2 indexed citations
9.
Zhang, Hui, et al.. (2022). Predicting Molecular Properties Using Photonic Chip-Based Machine Learning Approach. Conference on Lasers and Electro-Optics. 12. JW3B.21–JW3B.21. 1 indexed citations
10.
Zhang, Hui, Lingxiao Wan, Muhammad Faeyz Karim, et al.. (2022). A Hybrid Quantum Computer for Quantum Finance Computation of Monte-Carlo Distribution. 121. JTh4A.4–JTh4A.4. 1 indexed citations
11.
Zhang, Hui, Lingxiao Wan, Tobias Haug, et al.. (2022). Resource-efficient high-dimensional subspace teleportation with a quantum autoencoder. Science Advances. 8(40). eabn9783–eabn9783. 20 indexed citations
12.
Zhang, Hui, et al.. (2022). On-Chip Quantum Autoencoder for Teleportation of High-Dimensional Quantum States. Conference on Lasers and Electro-Optics. 123. FW1A.3–FW1A.3. 2 indexed citations
13.
Wan, Lingxiao, Libin Yan, Gong Zhang, et al.. (2018). A Large-Number and Multilayer Quantum Walk using Silicon Nano-photonic Chip. Conference on Lasers and Electro-Optics. FM1G.2–FM1G.2.

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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