Daoxin Dai

23.6k total citations · 3 hit papers
536 papers, 15.8k citations indexed

About

Daoxin Dai is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Daoxin Dai has authored 536 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 519 papers in Electrical and Electronic Engineering, 313 papers in Atomic and Molecular Physics, and Optics and 75 papers in Biomedical Engineering. Recurrent topics in Daoxin Dai's work include Photonic and Optical Devices (511 papers), Optical Network Technologies (154 papers) and Advanced Fiber Laser Technologies (146 papers). Daoxin Dai is often cited by papers focused on Photonic and Optical Devices (511 papers), Optical Network Technologies (154 papers) and Advanced Fiber Laser Technologies (146 papers). Daoxin Dai collaborates with scholars based in China, United States and Sweden. Daoxin Dai's co-authors include Sailing He, John E. Bowers, Yaocheng Shi, Hao Wu, Yao Shi, Jian Wang, Chenlei Li, Dajian Liu, Ming Zhang and Sitao Chen and has published in prestigious journals such as Science, Physical Review Letters and Advanced Materials.

In The Last Decade

Daoxin Dai

472 papers receiving 14.7k citations

Hit Papers

A silicon-based hybrid pl... 2009 2026 2014 2020 2009 2012 2021 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daoxin Dai 14.7k 8.6k 3.0k 1.6k 1.4k 536 15.8k
Hon Ki Tsang 8.0k 0.5× 4.8k 0.6× 2.1k 0.7× 706 0.4× 614 0.4× 443 9.6k
Toshihiko Baba 8.5k 0.6× 8.2k 1.0× 2.2k 0.8× 1.4k 0.9× 480 0.3× 359 10.0k
Graham T. Reed 9.7k 0.7× 5.5k 0.6× 1.5k 0.5× 513 0.3× 1.1k 0.8× 385 10.4k
Ray T. Chen 7.2k 0.5× 4.0k 0.5× 1.9k 0.6× 708 0.4× 822 0.6× 547 8.2k
Takashi Asano 8.6k 0.6× 9.2k 1.1× 3.4k 1.1× 1.5k 0.9× 718 0.5× 251 11.4k
Günther Roelkens 9.8k 0.7× 5.6k 0.6× 1.1k 0.4× 659 0.4× 752 0.5× 474 10.3k
Éric Cassan 6.1k 0.4× 4.0k 0.5× 1.2k 0.4× 489 0.3× 459 0.3× 302 6.6k
M.K. Smit 7.5k 0.5× 3.9k 0.5× 1.6k 0.5× 544 0.3× 463 0.3× 351 8.3k
Jean-Marc Fédéli 6.4k 0.4× 3.6k 0.4× 1.2k 0.4× 429 0.3× 553 0.4× 200 6.9k
Duk‐Yong Choi 6.9k 0.5× 6.3k 0.7× 3.8k 1.3× 459 0.3× 371 0.3× 318 11.5k

Countries citing papers authored by Daoxin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Daoxin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoxin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Daoxin Dai. A scholar is included among the top collaborators of Daoxin Dai 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 Daoxin Dai. Daoxin Dai 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.
Wang, Rongchao, Lihua Yang, Lei Du, et al.. (2025). Discovery of novel inhibitory peptides on matrix metalloproteinases and elastase for skin antiaging using batch molecular docking strategy. Expert Opinion on Drug Discovery. 20(12). 1713–1724.
2.
Li, Haoran, Fei Huang, Hanwen Li, et al.. (2025). Integrated broadband and high-efficiency difference frequency generation. Nature Communications. 16(1). 11014–11014.
3.
Shu, Haowen, Ming Zhang, Xingjun Wang, et al.. (2025). Analog parallel processor for broadband multifunctional integrated system based on silicon photonic platform. Light Science & Applications. 14(1). 71–71. 4 indexed citations
4.
Zhu, Yuhang, Zhangtie Wang, Xiang Li, et al.. (2025). Identification of key anti-glycation polyphenols in Sakura through metabolic profiling and in vitro assessments. Food Chemistry X. 27. 102416–102416. 1 indexed citations
5.
Liu, Dajian, Ming Zhang, Hongxuan Liu, et al.. (2024). Ultra‐Low‐Loss and Athermalized Lithium‐Niobate‐on‐Insulator Photonic Chip for Next‐Generation PONs. Laser & Photonics Review. 19(7).
6.
Peng, Yingying, Weike Zhao, Yaocheng Shi, & Daoxin Dai. (2024). 192-channel silicon Reconfigurable Optical Add-Drop Multiplexer. 1–2. 1 indexed citations
7.
Song, Lijia, Linyan Lyu, Weixi Liu, et al.. (2024). Low-Loss C+L+S-Band 2 × 2 Thermo-Optic Mach-Zehnder Switches With Compact Fast Quasi-Adiabatic Couplers. Journal of Lightwave Technology. 42(23). 8316–8322. 4 indexed citations
8.
Li, Ming, et al.. (2024). Proposal of On-Chip Ultrabroad Supercontinuum Generation Ranging From Visible to Mid-Infrared Spectrum. Journal of Lightwave Technology. 42(14). 4892–4898.
9.
Guo, Jingshu, et al.. (2024). Waveguide-integrated aluminum–MoTe2 Schottky photodetectors for the wavelength band extended to 2 µm. Optics Letters. 49(21). 6153–6153. 1 indexed citations
10.
Yu, Laiwen, Yuanrong Li, Liu Liu, et al.. (2024). Four‐channel graphene optical receiver. Nanophotonics. 13(21). 4019–4028.
11.
Li, Yuanrong, Guowu Zhang, Jin Xie, et al.. (2024). Silicon-Integrated Coherent Optical Receiver Realized by a Semi-inverse-Designed 90° Hybrid. ACS Photonics. 1 indexed citations
12.
Liu, Dajian, Mingyu Zhu, Long Zhang, et al.. (2023). High‐Performance Silicon Photonic Filter Using Subwavelength‐Structure Multimode Waveguide Gratings. Laser & Photonics Review. 17(12). 13 indexed citations
13.
Liu, Hongxuan, Bingcheng Pan, Yishu Huang, et al.. (2023). Ultra-compact lithium niobate photonic chip for high-capacity and energy-efficient wavelength-division-multiplexing transmitters. SHILAP Revista de lepidopterología. 4(2). 1–1. 30 indexed citations
14.
Yu, Laiwen, et al.. (2023). High-Performance 2 × 2 Bent Directional Couplers Designed With an Efficient Semi-Inverse Design Method. Journal of Lightwave Technology. 42(2). 740–747. 16 indexed citations
15.
Zhang, Ming, Dajian Liu, Hongxuan Liu, et al.. (2023). First Realization of a Three-Channel Lithium-Niobate Photonic Filter for 50G Passive Optical Networks. ACS Photonics. 10(10). 3740–3747. 7 indexed citations
16.
17.
Chen, Gengxin, Kaixuan Chen, Junwei Zhang, et al.. (2022). Compact 100GBaud driverless thin-film lithium niobate modulator on a silicon substrate. Optics Express. 30(14). 25308–25308. 32 indexed citations
18.
Zhao, Weike, Yingying Peng, Xiaoping Cao, et al.. (2022). 96‐Channel on‐chip reconfigurable optical add‐drop multiplexer for multidimensional multiplexing systems. Nanophotonics. 11(18). 4299–4313. 47 indexed citations
19.
Chen, Gengxin, Kaixuan Chen, Ranfeng Gan, et al.. (2022). High performance thin-film lithium niobate modulator on a silicon substrate using periodic capacitively loaded traveling-wave electrode. APL Photonics. 7(2). 93 indexed citations
20.
Chen, Gengxin, Ziliang Ruan, Changjian Guo, et al.. (2021). Four-channel CWDM device on a thin-film lithium niobate platform using an angled multimode interferometer structure. Photonics Research. 10(1). 8–8. 41 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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