Dajun Lin

1.1k total citations · 1 hit paper
19 papers, 833 citations indexed

About

Dajun Lin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Dajun Lin has authored 19 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Dajun Lin's work include Neural Networks and Reservoir Computing (5 papers), Photonic and Optical Devices (5 papers) and Advanced Optical Imaging Technologies (3 papers). Dajun Lin is often cited by papers focused on Neural Networks and Reservoir Computing (5 papers), Photonic and Optical Devices (5 papers) and Advanced Optical Imaging Technologies (3 papers). Dajun Lin collaborates with scholars based in China, United States and Taiwan. Dajun Lin's co-authors include Miṅ Gu, Xinyuan Fang, Yuanzheng Yue, Jianrong Qiu, Dezhi Tan, Ke Sun, Yonghong Lin, Zhaojun Liu, Juan Song and Tao Duan and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Chemical Engineering Journal.

In The Last Decade

Dajun Lin

18 papers receiving 800 citations

Hit Papers

Three-dimensional direct lithography of stable perovskite... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dajun Lin China 11 392 365 223 161 102 19 833
Łukasz Skowroński Poland 21 430 1.1× 618 1.7× 237 1.1× 156 1.0× 43 0.4× 82 1.2k
Alexander A. Pavlov Russia 18 360 0.9× 461 1.3× 394 1.8× 198 1.2× 45 0.4× 144 1.0k
Arnab Choudhury United States 8 400 1.0× 725 2.0× 154 0.7× 90 0.6× 386 3.8× 23 1.2k
Tyson C. Back United States 22 484 1.2× 781 2.1× 224 1.0× 191 1.2× 18 0.2× 75 1.2k
Xiaomin Zhang China 18 729 1.9× 300 0.8× 155 0.7× 188 1.2× 33 0.3× 114 1.2k
Wan-Sheng Su Taiwan 19 507 1.3× 1.1k 3.1× 223 1.0× 309 1.9× 32 0.3× 89 1.6k
David Pugmire United States 11 481 1.2× 420 1.2× 156 0.7× 75 0.5× 90 0.9× 22 971
Jie Lian China 18 447 1.1× 627 1.7× 153 0.7× 122 0.8× 25 0.2× 74 959
Shankar Ghosh India 15 356 0.9× 676 1.9× 673 3.0× 223 1.4× 23 0.2× 61 1.4k

Countries citing papers authored by Dajun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dajun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dajun Lin

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

All Works

19 of 19 papers shown
1.
Lin, Dajun, Apratim Majumder, Ping Lü, & Rajesh Menon. (2025). Diffraction-free orbital angular momentum holography. Optics Express. 33(3). 5791–5791.
2.
Dong, Yibo, Dajun Lin, Baoli Li, et al.. (2024). Compact eternal diffractive neural network chip for extreme environments. SHILAP Revista de lepidopterología. 3(1). 7 indexed citations
3.
Dong, Yibo, Haitao Luan, Dajun Lin, et al.. (2023). Laser‐Induced Graphene Hologram Reconfiguration for Countersurveillance Multisecret Sharing. Laser & Photonics Review. 17(8). 18 indexed citations
4.
Wan, Z., Yu He, Dajun Lin, et al.. (2023). Graphene Lithography Based on Laser Reduction and Plasma Oxidization for Rewritable Hologram Imaging. Advanced Optical Materials. 11(22). 10 indexed citations
5.
Jia, Wei, Dajun Lin, Rajesh Menon, & Berardi Sensale‐Rodriguez. (2023). Machine learning enables the design of a bidirectional focusing diffractive lens. Optics Letters. 48(9). 2425–2425. 11 indexed citations
6.
Lin, Dajun, et al.. (2023). Inverse-Designed Multi-Level Diffractive Doublet for Wide Field-of-View Imaging. ACS Photonics. 10(8). 2661–2669. 7 indexed citations
7.
Jia, Wei, Dajun Lin, Rajesh Menon, & Berardi Sensale‐Rodriguez. (2023). Multifocal multilevel diffractive lens by wavelength multiplexing. Applied Optics. 62(26). 6931–6931. 7 indexed citations
8.
Dong, Yibo, Haitao Luan, Dajun Lin, et al.. (2023). Laser‐Induced Graphene Hologram Reconfiguration for Countersurveillance Multisecret Sharing (Laser Photonics Rev. 17(8)/2023). Laser & Photonics Review. 17(8). 1 indexed citations
9.
Lin, Dajun, et al.. (2023). Machine-learning-assisted inverse design for wide-FOV dual-layer multi-level diffractive lens integration. 8. AM3R.7–AM3R.7. 1 indexed citations
10.
Mishra, Brijes, et al.. (2023). Correlations between mineral composition and mechanical properties of granite using digital image processing and discrete element method. International Journal of Mining Science and Technology. 33(8). 949–962. 38 indexed citations
11.
Jia, Wei, Dajun Lin, & Berardi Sensale‐Rodriguez. (2023). Deep Learning Enabled Reconfigurable Terahertz Holograms with Cascaded Diffractive Optical Elements. STh1M.4–STh1M.4. 1 indexed citations
12.
Jia, Wei, Dajun Lin, & Berardi Sensale‐Rodriguez. (2023). Machine Learning Enables Multi‐Degree‐of‐Freedom Reconfigurable Terahertz Holograms with Cascaded Diffractive Optical Elements. Advanced Optical Materials. 11(7). 14 indexed citations
13.
Sun, Ke, Dezhi Tan, Xinyuan Fang, et al.. (2022). Three-dimensional direct lithography of stable perovskite nanocrystals in glass. Science. 375(6578). 307–310. 353 indexed citations breakdown →
14.
Lu, Ping, Dajun Lin, Ning Chen, et al.. (2022). CNN-assisted SERS enables ultra-sensitive and simultaneous detection of Scr and BUN for rapid kidney function assessment. Analytical Methods. 15(3). 322–332. 19 indexed citations
15.
Luan, Haitao, et al.. (2021). 768-ary Laguerre-Gaussian-mode shift keying free-space optical communication based on convolutional neural networks. Optics Express. 29(13). 19807–19807. 34 indexed citations
16.
Chen, Tao, Bo Liu, Mingxin Li, et al.. (2020). Efficient uranium reduction of bacterial cellulose-MoS2 heterojunction via the synergistically effect of Schottky junction and S-vacancies engineering. Chemical Engineering Journal. 406. 126791–126791. 105 indexed citations
17.
Chen, Tao, Mingxin Li, L. P. Zhou, et al.. (2020). Bio-Inspired Biomass-Derived Carbon Aerogels with Superior Mechanical Property for Oil–Water Separation. ACS Sustainable Chemistry & Engineering. 8(16). 6458–6465. 74 indexed citations
18.
Chen, Tao, Mingxin Li, L. P. Zhou, et al.. (2020). Harmonizing the energy band between adsorbent and semiconductor enables efficient uranium extraction. Chemical Engineering Journal. 420. 127645–127645. 31 indexed citations
19.
Wu, Ren‐Jang, et al.. (2012). Ag@SnO2 core–shell material for use in fast-response ethanol sensor at room operating temperature. Sensors and Actuators B Chemical. 178. 185–191. 102 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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