Yubin Zang

472 total citations · 1 hit paper
17 papers, 291 citations indexed

About

Yubin Zang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yubin Zang has authored 17 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yubin Zang's work include Neural Networks and Reservoir Computing (13 papers), Optical Network Technologies (11 papers) and Advanced Photonic Communication Systems (6 papers). Yubin Zang is often cited by papers focused on Neural Networks and Reservoir Computing (13 papers), Optical Network Technologies (11 papers) and Advanced Photonic Communication Systems (6 papers). Yubin Zang collaborates with scholars based in China and United States. Yubin Zang's co-authors include Sigang Yang, Minghua Chen, Hongwei Chen, Honghao Huang, Chengyang Hu, Tingzhao Fu, Zhenmin Du, Yuyao Huang, Kun Xu and Zhenming Yu and has published in prestigious journals such as Nature Communications, Optics Express and Journal of Lightwave Technology.

In The Last Decade

Yubin Zang

12 papers receiving 250 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.

Photonic machine learning with on-chip diffractive optics

2023 157 citations Tingzhao Fu, Yubin Zang et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yubin Zang China	6	244	217	40	15	10	17	291
Zhenmin Du China	6	233 1.0×	179 0.8×	64 1.6×	16 1.1×	17 1.7×	10	276
Shi-Yuan Ma United States	4	259 1.1×	265 1.2×	36 0.9×	25 1.7×	20 2.0×	8	346
Tingzhao Fu China	7	311 1.3×	259 1.2×	69 1.7×	26 1.7×	21 2.1×	22	377
Alexander Sludds United States	8	544 2.2×	537 2.5×	70 1.8×	19 1.3×	12 1.2×	22	636
Zibo Hu United States	7	223 0.9×	200 0.9×	55 1.4×	15 1.0×	44 4.4×	15	265
Bicky A. Márquez Canada	9	380 1.6×	363 1.7×	29 0.7×	4 0.3×	8 0.8×	20	415
Chenghao Feng United States	10	281 1.2×	230 1.1×	42 1.1×	4 0.3×	18 1.8×	20	321
Ryota Tanomura Japan	9	263 1.1×	174 0.8×	50 1.3×	12 0.8×	13 1.3×	26	277
Manos Kirtas Greece	15	451 1.8×	494 2.3×	22 0.6×	5 0.3×	10 1.0×	38	538
Aashu Jha United States	11	660 2.7×	611 2.8×	64 1.6×	6 0.4×	26 2.6×	25	709

Countries citing papers authored by Yubin Zang

Since Specialization

Citations

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

Fields of papers citing papers by Yubin Zang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yubin Zang

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

All Works

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17 of 17 papers shown

1.

Zang, Yubin, Boyu Hua, Zhipeng Lin, et al.. (2025). Principle driven parameterized fiber model based on GPT-PINN neural network. Optics & Laser Technology. 189. 113037–113037. 1 indexed citations

2.

Zang, Yubin, Zuxing Zhang, Simin Li, Fangzheng Zhang, & Hongwei Chen. (2025). Fiber neural networks for the intelligent optical fiber communication signal processing. 1(2). 100009–100009.

3.

Zheng, Lina, et al.. (2025). Color Image Encryption Using Spatial OAM Beam through a Multimode Fiber. Optics and Lasers in Engineering. 194. 109146–109146. 3 indexed citations

4.

Lü, Yuan, et al.. (2025). All-optical color image encryption using multimode fiber speckles and diffractive deep neural networks. Optics Express. 33(17). 36133–36133.

5.

Zang, Yubin, Simin Li, Boyu Hua, et al.. (2024). Optoelectronic Demonstration of the Nonlinear Activation Module for Optical Neural Networks. IEEE Photonics Technology Letters. 37(2). 109–112.

6.

Zang, Yubin, Boyu Hua, Zhipeng Lin, et al.. (2024). Fiber Transmission Model with Parameterized Inputs based on GPT-PINN Neural Network. Optics Express. 33(1). 50–61. 1 indexed citations

7.

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 →

8.

Gu, Yu, et al.. (2023). Classification and Recognition of Fiber Optic Vibration Sensing Signals Based on Wavelet Packet Decomposition and 1D-CNN Algorithm. 8. 1–3. 1 indexed citations

9.

Zang, Yubin, Zhenming Yu, Kun Xu, et al.. (2022). Multi-span long-haul fiber transmission model based on cascaded neural networks with multi-head attention mechanism. Journal of Lightwave Technology. 1–8. 15 indexed citations

10.

Zang, Yubin, et al.. (2022). Fiber communication receiver models based on the multi-head attention mechanism. Chinese Optics Letters. 21(3). 30602–30602. 2 indexed citations

11.

Zang, Yubin, et al.. (2022). Data-driven fiber model based on the deep neural network with multi-head attention mechanism. Optics Express. 30(26). 46626–46626. 8 indexed citations

12.

Zang, Yubin, Zhenming Yu, Kun Xu, et al.. (2021). Principle-Driven Fiber Transmission Model Based on PINN Neural Network. Journal of Lightwave Technology. 40(2). 404–414. 25 indexed citations

13.

Zang, Yubin, Minghua Chen, Sigang Yang, & Hongwei Chen. (2021). Optoelectronic convolutional neural networks based on time-stretch method. Science China Information Sciences. 64(2). 5 indexed citations

14.

Fu, Tingzhao, Yubin Zang, Honghao Huang, et al.. (2021). On-chip photonic diffractive optical neural network based on a spatial domain electromagnetic propagation model. Optics Express. 29(20). 31924–31924. 50 indexed citations

15.

Zang, Yubin, Zhenming Yu, Kun Xu, et al.. (2020). Universal Fiber Models based on PINN Neural Network. M4A.266–M4A.266. 3 indexed citations

16.

Zang, Yubin, Minghua Chen, Sigang Yang, & Hongwei Chen. (2019). Electro-Optical Neural Networks Based on Time-Stretch Method. IEEE Journal of Selected Topics in Quantum Electronics. 26(1). 1–10. 18 indexed citations

17.

Zang, Yubin, Hongwei Chen, Sigang Yang, & Minghua Chen. (2019). High Accuracy Non Ambiguity ToF Lidar System based on Pseudo-Random Noise Code and Phase Detection Method. W2A.43–W2A.43. 2 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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