Jianglei Di

3.4k total citations · 2 hit papers
151 papers, 2.4k citations indexed

About

Jianglei Di is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Jianglei Di has authored 151 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Atomic and Molecular Physics, and Optics, 65 papers in Computer Vision and Pattern Recognition and 63 papers in Media Technology. Recurrent topics in Jianglei Di's work include Digital Holography and Microscopy (98 papers), Optical measurement and interference techniques (42 papers) and Image Processing Techniques and Applications (37 papers). Jianglei Di is often cited by papers focused on Digital Holography and Microscopy (98 papers), Optical measurement and interference techniques (42 papers) and Image Processing Techniques and Applications (37 papers). Jianglei Di collaborates with scholars based in China, Singapore and United States. Jianglei Di's co-authors include Jianlin Zhao, Kaiqiang Wang, Qian Kemao, Ying Li, Hongzhen Jiang, Jiwei Zhang, Chaojie Ma, Teli Xi, Jiazhen Dou and Weiwei Sun and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Jianglei Di

127 papers receiving 2.2k 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.

One-step robust deep learning phase unwrapping

2019 276 citations Kaiqiang Wang, Jianglei Di et al. Optics Express profile →
On the use of deep learning for phase recovery

2024 104 citations Kaiqiang Wang, Li Song et al. Light Science & Applications profile →

Peers

Jianglei Di

AMPO

CVPR

RADIA

Yasuhiro Awatsuji Japan

Pascal Picart France

Ulf Schnars Germany

Hideki Ina Japan

Jorge Garcı́a-Sucerquia Colombia

Harun Günaydın United States

Oliver Cossairt United States

Thomas Kreis Germany

Jiasong Sun China

Liheng Bian China

Yasuhiro Awatsuji Japan

Jianglei Di

2.4k ×1.5

AMPO

1.3k ×1.1

CVPR

1.6k ×1.8

617 ×1.0

244 ×0.6

RADIA

Citations per year, relative to Jianglei Di Jianglei Di (= 1×) peers Yasuhiro Awatsuji

Countries citing papers authored by Jianglei Di

Since Specialization

Citations

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

Fields of papers citing papers by Jianglei Di

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianglei Di

This figure shows the co-authorship network connecting the top 25 collaborators of Jianglei Di. A scholar is included among the top collaborators of Jianglei Di 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 Jianglei Di. Jianglei Di 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

Di, Y. Peter, et al.. (2025). Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning. Advanced Photonics Research. 6(7).

Sun, Xiaotian, et al.. (2025). Unpaired learning for digital holographic reconstruction and generation. Optics Express. 33(2). 3414–3414.

Zhang, Mengmeng, et al.. (2025). High-bandwidth nonlinear curvature wavefront sensing based on dual-defocused scheme and optimal parameter selection. Optics and Lasers in Engineering. 190. 108975–108975. 1 indexed citations

Huang, Tao, Weina Zhang, Jiazhen Dou, et al.. (2025). Unsupervised cross talk suppression for self-interference digital holography. Optics Letters. 50(4). 1261–1261. 1 indexed citations

Xiao, Qi, et al.. (2024). Enhanced 3D reconstruction of extreme sparse view terahertz computed tomography by using ASE-UNet incorporating asymmetric convolution blocks and channel attention mechanisms. Optics and Lasers in Engineering. 182. 108469–108469. 4 indexed citations

Wu, Xiaoyan, et al.. (2024). Efficient multimodal object detection via coordinate attention fusion for adverse environmental conditions. Digital Signal Processing. 156. 104873–104873.

Huang, Tao, Jiaosheng Li, Weina Zhang, et al.. (2024). Out-of-focus artifact removal for Fresnel incoherent correlation holography by deep learning. Optics and Lasers in Engineering. 178. 108195–108195. 14 indexed citations

Wang, Kaiqiang, Li Song, Chutian Wang, et al.. (2024). On the use of deep learning for phase recovery. Light Science & Applications. 13(1). 4–4. 104 indexed citations breakdown →

Di, Jianglei, et al.. (2024). 一种跨模态光学信息交互和模板动态更新的RGBT目标跟踪方法. Acta Optica Sinica. 44(7). 715001–715001. 1 indexed citations

10.

He, Yunze, et al.. (2024). High environmentally adaptable phase control with reinforcement learning for coherent beam combination. Optics and Lasers in Engineering. 183. 108534–108534. 2 indexed citations

11.

Dou, Jiazhen, Qi An, Xiaosong Liu, et al.. (2024). Enhanced phase recovery in in-line holography with self-supervised complex-valued neural networks. Optics and Lasers in Engineering. 184. 108685–108685. 2 indexed citations

12.

Dou, Jiazhen, et al.. (2024). A Dual-Mode Intensity and Polarized Imaging System for Assisting Autonomous Driving. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 6 indexed citations

13.

Huang, Tao, et al.. (2023). Optical 3D information encryption and rapid decryption via interferenceless coded aperture correlation holography. Optics & Laser Technology. 169. 110096–110096. 8 indexed citations

14.

Tang, Ju, Mengmeng Zhang, Zhenbo Ren, et al.. (2023). Highly robust spatiotemporal wavefront prediction with a mixed graph neural network in adaptive optics. Photonics Research. 11(11). 1802–1802. 5 indexed citations

15.

Wu, Ji, Ju Tang, Mengmeng Zhang, et al.. (2022). PredictionNet: a long short-term memory-based attention network for atmospheric turbulence prediction in adaptive optics. Applied Optics. 61(13). 3687–3687. 13 indexed citations

16.

Tang, Ju, Jiawei Zhang, Jiazhen Dou, et al.. (2022). Comparison of common-path off-axis digital holography and transport of intensity equation in quantitative phase measurement. Optics and Lasers in Engineering. 157. 107126–107126. 8 indexed citations

17.

Dou, Jiazhen, Chaojie Ma, Kaiqiang Wang, et al.. (2022). Light-field focusing and modulation through scattering media based on dual-polarization-encoded digital optical phase conjugation. Optics Letters. 47(11). 2738–2738. 6 indexed citations

18.

Zhang, Mengmeng, Jiazhen Dou, Jiwei Zhang, et al.. (2022). Simultaneous measurement of near-water-film air temperature and humidity fields based on dual-wavelength digital holographic interferometry. Optics Express. 30(10). 17278–17278. 2 indexed citations

19.

Dou, Jiazhen, Siqing Dai, Dong Chen, et al.. (2021). Dual-channel illumination surface plasmon resonance holographic microscopy for resolution improvement. Optics Letters. 46(7). 1604–1604. 8 indexed citations

20.

Tang, Ju, Zhenbo Ren, Xiaoyan Wu, et al.. (2021). Object-independent tilt detection for optical sparse aperture system with large-scale piston error via deep convolution neural network. Optics Express. 29(25). 41670–41670. 6 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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