Tingzhao Fu

704 total citations · 2 hit papers
22 papers, 377 citations indexed

About

Tingzhao Fu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Tingzhao Fu has authored 22 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 14 papers in Artificial Intelligence and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Tingzhao Fu's work include Photonic and Optical Devices (17 papers), Neural Networks and Reservoir Computing (14 papers) and Optical Network Technologies (11 papers). Tingzhao Fu is often cited by papers focused on Photonic and Optical Devices (17 papers), Neural Networks and Reservoir Computing (14 papers) and Optical Network Technologies (11 papers). Tingzhao Fu collaborates with scholars based in China and United States. Tingzhao Fu's co-authors include Hongwei Chen, Sigang Yang, Yuyao Huang, Zhenmin Du, Minghua Chen, Honghao Huang, Chengyang Hu, Yubin Zang, Run Cang Sun and Zhihong Zhu and has published in prestigious journals such as Nature Communications, Optics Letters and Optics Express.

In The Last Decade

Tingzhao Fu

16 papers receiving 327 citations

Hit Papers

Photonic machine learning with on-chip diffractive optics 2023 2026 2024 2025 2023 2024 50 100 150
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. Photonic machine learning with on-chip diffractive optics
    2023 157 citations Tingzhao Fu, Yubin Zang et al. Nature Communications profile →
  2. Optical neural networks: progress and challenges
    2024 62 citations Tingzhao Fu, Jianfa Zhang et al. Light Science & Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingzhao Fu China 7 311 259 69 26 21 22 377
Alexander J. Geers United States 4 351 1.1× 318 1.2× 46 0.7× 14 0.5× 29 1.4× 6 425
Zhenmin Du China 6 233 0.7× 179 0.7× 64 0.9× 16 0.6× 17 0.8× 10 276
Yubin Zang China 6 244 0.8× 217 0.8× 40 0.6× 15 0.6× 10 0.5× 17 291
Yujun Zhao China 6 261 0.8× 277 1.1× 43 0.6× 19 0.7× 20 1.0× 11 386
Shi-Yuan Ma United States 4 259 0.8× 265 1.0× 36 0.5× 25 1.0× 20 1.0× 8 346
Jinlong Xiang China 8 254 0.8× 149 0.6× 81 1.2× 22 0.8× 8 0.4× 17 278
Lingxiao Wan Singapore 7 281 0.9× 302 1.2× 125 1.8× 16 0.6× 32 1.5× 13 431
Jiawei Meng United States 10 318 1.0× 181 0.7× 110 1.6× 10 0.4× 79 3.8× 24 395
Bohan Li United States 9 471 1.5× 359 1.4× 236 3.4× 45 1.7× 42 2.0× 17 673

Countries citing papers authored by Tingzhao Fu

Since Specialization
Citations

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

Fields of papers citing papers by Tingzhao Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingzhao Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingzhao Fu. A scholar is included among the top collaborators of Tingzhao Fu 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 Tingzhao Fu. Tingzhao Fu 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.
Huang, Yuyao, Wencan Liu, Run Sun, et al.. (2025). Photonic neuromorphic processor with high energy efficiency exceeding 100 GOPS/W/mm2. APL Photonics. 10(10).
2.
Liu, Wencan, Yuyao Huang, Run Cang Sun, et al.. (2025). Ultra-compact multi-task processor based on in-memory optical computing. Light Science & Applications. 14(1). 134–134. 4 indexed citations
3.
He, Junyu, Biyuan Zheng, Feng Jiang, et al.. (2025). General phase segregation and phase pinning effects in lanthanide-doped lead halide perovskite with dual-wavelength lasing. Nature Communications. 16(1). 11161–11161.
4.
Fu, Tingzhao, et al.. (2025). A Non-volatile Switchable Infrared Stealth Metafilm with GST. Light Advanced Manufacturing. 6(1). 1–1. 2 indexed citations
5.
Liu, Wencan, Yuyao Huang, Peter Chan, et al.. (2025). Integrated Photonic Processor for High‐Efficiency Megapixel RGB Image Encoding. Laser & Photonics Review. 19(22).
6.
Sun, Run, Yuyao Huang, Wencan Liu, et al.. (2024). Standardized Design: On-chip Diffractive Optical Logic Operation Units with Ultra-compact Structures. JTh2A.83–JTh2A.83. 1 indexed citations
7.
8.
Fu, Tingzhao, Jianfa Zhang, Run Cang Sun, et al.. (2024). Optical neural networks: progress and challenges. Light Science & Applications. 13(1). 263–263. 62 indexed citations breakdown →
9.
Sun, Run Cang, Tingzhao Fu, Yuyao Huang, et al.. (2024). Multimode diffractive optical neural network. Advanced Photonics Nexus. 3(2). 9 indexed citations
10.
Huang, Yuyao, Wencan Liu, Run Sun, et al.. (2024). Diffraction‐Driven Parallel Convolution Processing with Integrated Photonics. Laser & Photonics Review. 19(4). 4 indexed citations
11.
Fu, Tingzhao, et al.. (2024). Reconfigurable binary diffractive optical neural network based on chalcogenide phase change material Ge2Sb2Se4Te1. Optics Express. 32(23). 41433–41433. 3 indexed citations
12.
Fu, Tingzhao, Yubin Zang, Yuyao Huang, et al.. (2023). Photonic machine learning with on-chip diffractive optics. Nature Communications. 14(1). 70–70. 157 indexed citations breakdown →
13.
Fu, Tingzhao, Yuyao Huang, Run Cang Sun, et al.. (2023). Integrated diffractive optical neural network with space-time interleaving. Chinese Optics Letters. 21(9). 91301–91301. 4 indexed citations
14.
Fu, Tingzhao, Wencan Liu, Yuyao Huang, et al.. (2023). Miniature on-chip diffractive optical neural network design. 11. JW2A.135–JW2A.135. 2 indexed citations
15.
Huang, Yuyao, Tingzhao Fu, Honghao Huang, Sigang Yang, & Hongwei Chen. (2023). Sophisticated deep learning with on-chip optical diffractive tensor processing. Photonics Research. 11(6). 1125–1125. 19 indexed citations
16.
Liu, Wencan, Tingzhao Fu, Yuyao Huang, et al.. (2023). C-DONN: compact diffractive optical neural network with deep learning regression. Optics Express. 31(13). 22127–22127. 14 indexed citations
17.
Fu, Tingzhao, Zhenmin Du, Minghua Chen, Sigang Yang, & Hongwei Chen. (2021). Off-chip far-field focusing with annular coupling gratings. 298–298.
18.
Du, Zhenmin, Tingzhao Fu, Minghua Chen, Sigang Yang, & Hongwei Chen. (2021). Silicon nitride integrated two-dimensional wavelength tuning optical phased array. 403–403. 2 indexed citations
19.
Du, Zhenmin, Chao Xiang, Tingzhao Fu, et al.. (2020). Silicon nitride chirped spiral Bragg grating with large group delay. APL Photonics. 5(10). 39 indexed citations
20.
Fu, Tingzhao, et al.. (2017). Tiny impacts for far-field focusing by plasmonic lens with a free slit-width design. Optical Engineering. 56(11). 1–1. 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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