Xing Lin

5.4k total citations · 1 hit paper
50 papers, 3.4k citations indexed

About

Xing Lin is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xing Lin has authored 50 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 21 papers in Electrical and Electronic Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xing Lin's work include Neural Networks and Reservoir Computing (19 papers), Optical Network Technologies (17 papers) and Photonic and Optical Devices (13 papers). Xing Lin is often cited by papers focused on Neural Networks and Reservoir Computing (19 papers), Optical Network Technologies (17 papers) and Photonic and Optical Devices (13 papers). Xing Lin collaborates with scholars based in China, United States and Hong Kong. Xing Lin's co-authors include Qionghai Dai, Yi Luo, Aydogan Özcan, Yair Rivenson, Nezih Tolga Yardimci, Muhammed Veli, Mona Jarrahi, Jiamin Wu, Yebin Liu and Lu Fang and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Xing Lin

44 papers receiving 3.1k citations

Hit Papers

All-optical machine learning using diffractive deep neura... 2018 2026 2020 2023 2018 400 800 1.2k
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. All-optical machine learning using diffractive deep neural networks
    2018 1.4k citations Xing Lin, Yair Rivenson et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xing Lin China 22 1.7k 1.7k 738 541 509 50 3.4k
Yaron Bromberg Israel 27 997 0.6× 1.5k 0.9× 722 1.0× 457 0.8× 2.3k 4.6× 77 4.3k
Gerald S. Buller United Kingdom 47 1.8k 1.1× 1.6k 1.0× 1.5k 2.0× 515 1.0× 2.8k 5.4× 257 7.6k
Jun Tanida Japan 28 1.2k 0.7× 314 0.2× 1.2k 1.6× 813 1.5× 1.0k 2.0× 217 3.3k
H. John Caulfield United States 28 1.9k 1.1× 892 0.5× 463 0.6× 522 1.0× 1.3k 2.6× 299 3.5k
Baoqing Sun China 22 487 0.3× 429 0.3× 763 1.0× 512 0.9× 1.0k 2.0× 80 3.0k
Sébastien M. Popoff France 16 654 0.4× 487 0.3× 1.1k 1.5× 235 0.4× 1.0k 2.0× 39 2.7k
Baris I. Erkmen United States 19 975 0.6× 887 0.5× 547 0.7× 190 0.4× 2.0k 4.0× 55 2.8k
Joby Joseph India 28 1.1k 0.6× 438 0.3× 1.0k 1.4× 1.8k 3.2× 1.8k 3.5× 173 4.0k
Brandon Redding United States 27 1.5k 0.9× 316 0.2× 975 1.3× 119 0.2× 1.6k 3.1× 106 3.1k

Countries citing papers authored by Xing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Lin

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

All Works

20 of 20 papers shown
1.
Ma, Jing, Xing Lin, Yilin Wu, Xinlu Li, & Shiyu Feng. (2025). A novel protection scheme of wind farm access to flexible DC power grid based on high frequency measurement inductance difference. International Journal of Electrical Power & Energy Systems. 169. 110752–110752.
2.
Chen, Hang, et al.. (2024). Opto‐intelligence spectrometer using diffractive neural networks. Nanophotonics. 13(20). 3883–3893. 2 indexed citations
3.
Lin, Xing, et al.. (2024). Demixing microwave signals using system-on-chip photonic processor. Light Science & Applications. 13(1). 58–58. 2 indexed citations
4.
Duan, Zhengyang, et al.. (2023). Dual adaptive training of photonic neural networks. Nature Machine Intelligence. 5(10). 1119–1129. 29 indexed citations
5.
Yan, Tao, et al.. (2022). All-optical graph representation learning using integrated diffractive photonic computing units. Science Advances. 8(24). eabn7630–eabn7630. 65 indexed citations
6.
Lin, Xing. (2022). Artificial intelligence built on wireless signals. Nature Electronics. 5(2). 69–70. 4 indexed citations
7.
Li, Xinyang, Guoxun Zhang, Hui Qiao, et al.. (2021). Unsupervised content-preserving transformation for optical microscopy. Light Science & Applications. 10(1). 79 indexed citations
8.
Li, Xinyang, Guoxun Zhang, Jiamin Wu, et al.. (2021). Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising. Nature Methods. 18(11). 1395–1400. 94 indexed citations
9.
Zheng, Haitian, et al.. (2020). CrossNet++: Cross-Scale Large-Parallax Warping for Reference-Based Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(12). 4291–4305. 22 indexed citations
10.
Zhou, Tiankuang, Lu Fang, Tao Yan, et al.. (2020). In situ optical backpropagation training of diffractive optical neural networks. Photonics Research. 8(6). 940–940. 151 indexed citations
11.
Wu, Yichen, Yi Luo, Cheng Chen, et al.. (2019). Label-free Bio-aerosol Sensing Using On-Chip Holographic Microscopy and Deep Learning. Conference on Lasers and Electro-Optics. 2 indexed citations
12.
Lin, Xing, Nezih Tolga Yardimci, Muhammed Veli, et al.. (2019). Deep Learning-designed Diffractive Neural Networks. Conference on Lasers and Electro-Optics. SF1N.2–SF1N.2.
13.
Wu, Yichen, Yi Luo, Cheng Chen, et al.. (2018). Label-Free Bioaerosol Sensing Using Mobile Microscopy and Deep Learning. ACS Photonics. 5(11). 4617–4627. 64 indexed citations
14.
Lin, Xing, Yair Rivenson, Nezih Tolga Yardimci, et al.. (2018). All-optical machine learning using diffractive deep neural networks. Science. 361(6406). 1004–1008. 1445 indexed citations breakdown →
15.
Lin, Xing & Chunyan Han. (2018). Chinese Text Sentiment Analysis Based on Improved Convolutional Neural Networks. 296–300. 6 indexed citations
16.
Ji, Xiangyang, et al.. (2017). Separating reflective and fluorescent components for dynamic scenes. Optics Communications. 404. 11–17.
17.
Lin, Xing, Jiamin Wu, Guoan Zheng, & Qionghai Dai. (2015). Camera array based light field microscopy. Biomedical Optics Express. 6(9). 3179–3179. 105 indexed citations
18.
Lin, Xing, Jinli Suo, & Qionghai Dai. (2014). Extracting Depth and Radiance From a Defocused Video Pair. IEEE Transactions on Circuits and Systems for Video Technology. 25(4). 557–569. 7 indexed citations
19.
Ma, Chenguang, Xing Lin, Jinli Suo, Qionghai Dai, & Gordon Wetzstein. (2014). Transparent Object Reconstruction via Coded Transport of Intensity. 3238–3245. 23 indexed citations
20.
Lin, Xing, et al.. (2013). Real-Time Human Action Recognition System Using Depth Map Sequences. Advanced materials research. 760-762. 1647–1651.

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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