Deniz Mengü

2.2k total citations · 1 hit paper
45 papers, 1.5k citations indexed

About

Deniz Mengü is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Acoustics and Ultrasonics. According to data from OpenAlex, Deniz Mengü has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 32 papers in Electrical and Electronic Engineering and 11 papers in Acoustics and Ultrasonics. Recurrent topics in Deniz Mengü's work include Neural Networks and Reservoir Computing (33 papers), Optical Network Technologies (23 papers) and Photonic and Optical Devices (20 papers). Deniz Mengü is often cited by papers focused on Neural Networks and Reservoir Computing (33 papers), Optical Network Technologies (23 papers) and Photonic and Optical Devices (20 papers). Deniz Mengü collaborates with scholars based in United States, Türkiye and Russia. Deniz Mengü's co-authors include Aydogan Özcan, Yair Rivenson, Yi Luo, Mona Jarrahi, Jingxi Li, Nezih Tolga Yardimci, Muhammed Veli, Yifan Zhao, Jingtian Hu and Xurong Li and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Deniz Mengü

42 papers receiving 1.4k 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.

Diffractive optical computing in free space

2024 83 citations Jingtian Hu, Deniz Mengü et al. Nature Communications profile →

Peers

Deniz Mengü

AI

EEE

AMPO

BE

AU

Tiankuang Zhou China

Isaac Nape South Africa

Dmitry Kalashnikov Singapore

Brandon Rodenburg United States

Hong Gao China

Raktim Sarma United States

Haoshuo Chen United States

Tengfeng Zhu China

Juan Sebastian Totero Gongora United Kingdom

Tiankuang Zhou China

Deniz Mengü

698 ×0.7

AI

703 ×0.7

EEE

130 ×0.5

AMPO

90 ×0.4

BE

60 ×0.3

AU

Citations per year, relative to Deniz Mengü Deniz Mengü (= 1×) peers Tiankuang Zhou

Countries citing papers authored by Deniz Mengü

Since Specialization

Citations

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

Fields of papers citing papers by Deniz Mengü

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deniz Mengü

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

All Works

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20 of 20 papers shown

1.

Hu, Jingtian, Deniz Mengü, Dimitrios C. Tzarouchis, et al.. (2024). Diffractive optical computing in free space. Nature Communications. 15(1). 1525–1525. 83 indexed citations breakdown →

2.

Li, Xurong, et al.. (2024). Plasmonic photoconductive terahertz focal-plane array with pixel super-resolution. Nature Photonics. 18(2). 139–148. 23 indexed citations

3.

Bai, Bijie, Xilin Yang, Tianyi Gan, et al.. (2024). Pyramid diffractive optical networks for unidirectional image magnification and demagnification. Light Science & Applications. 13(1). 178–178. 14 indexed citations

4.

Li, Yuhang, Yi Luo, Deniz Mengü, Bijie Bai, & Aydogan Özcan. (2024). All-optical quantitative phase imaging through random diffusers using a diffractive network. 32–32. 1 indexed citations

5.

Li, Jingxi, et al.. (2023). Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network. SHILAP Revista de lepidopterología. 5(11). 19 indexed citations

6.

Mengü, Deniz, et al.. (2023). Snapshot multispectral imaging using a diffractive optical network. Light Science & Applications. 12(1). 86–86. 63 indexed citations

7.

Bai, Bijie, Heming Wei, Xilin Yang, et al.. (2023). Data‐Class‐Specific All‐Optical Transformations and Encryption. Advanced Materials. 35(31). e2212091–e2212091. 33 indexed citations

8.

Mengü, Deniz & Aydogan Özcan. (2023). All-optical phase recovery: Quantitative phase imaging using diffractive optical networks. 10. AW3K.1–AW3K.1. 1 indexed citations

9.

Mengü, Deniz, et al.. (2022). At the intersection of optics and deep learning: statistical inference, computing, and inverse design. Advances in Optics and Photonics. 14(2). 209–209. 39 indexed citations

10.

Mengü, Deniz & Aydogan Özcan. (2022). All‐Optical Phase Recovery: Diffractive Computing for Quantitative Phase Imaging. Advanced Optical Materials. 10(15). 68 indexed citations

11.

Bai, Bijie, Yi Luo, Tianyi Gan, et al.. (2022). To image, or not to image: class-specific diffractive cameras with all-optical erasure of undesired objects. arXiv (Cornell University). 2(1). 62 indexed citations

12.

Li, Jingxi, et al.. (2022). Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network. Light Science & Applications. 11(1). 153–153. 73 indexed citations

13.

Mengü, Deniz, Yifan Zhao, Jingxi Li, et al.. (2022). Super-resolution image display using diffractive decoders. Science Advances. 8(48). eadd3433–eadd3433. 32 indexed citations

14.

Mengü, Deniz, Yifan Zhao, Anika Tabassum, Mona Jarrahi, & Aydogan Özcan. (2022). Diffractive interconnects: all‐optical permutation operation using diffractive networks. Nanophotonics. 12(5). 905–923. 1 indexed citations

15.

Mengü, Deniz, et al.. (2021). All-optical information-processing capacity of diffractive surfaces. Light Science & Applications. 10(1). 25–25. 108 indexed citations

16.

Li, Jingxi, et al.. (2021). Publisher Correction: Ensemble learning of diffractive optical networks. Light Science & Applications. 10(1). 34–34. 1 indexed citations

17.

Li, Jingxi, Deniz Mengü, Nezih Tolga Yardimci, et al.. (2021). Spectrally encoded single-pixel machine vision using diffractive networks. Science Advances. 7(13). 138 indexed citations

18.

Mengü, Deniz, Yifan Zhao, Nezih Tolga Yardimci, et al.. (2021). Misalignment Insensitive Diffractive Optical Networks. Bulletin of the American Physical Society. 1 indexed citations

19.

Luo, Yi, Deniz Mengü, Nezih Tolga Yardimci, et al.. (2019). Design of task-specific optical systems using broadband diffractive neural networks. Light Science & Applications. 8(1). 112–112. 188 indexed citations

20.

Mengü, Deniz, Yifan Zhao, Nezih Tolga Yardimci, et al.. (2018). Misalignment resilient diffractive optical networks. Nanophotonics. 9(13). 4207–4219. 98 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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