Dan Yu

596 total citations
35 papers, 485 citations indexed

About

Dan Yu is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Dan Yu has authored 35 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atomic and Molecular Physics, and Optics, 25 papers in Electrical and Electronic Engineering and 5 papers in Media Technology. Recurrent topics in Dan Yu's work include Photorefractive and Nonlinear Optics (24 papers), Photonic and Optical Devices (23 papers) and Mechanical and Optical Resonators (8 papers). Dan Yu is often cited by papers focused on Photorefractive and Nonlinear Optics (24 papers), Photonic and Optical Devices (23 papers) and Mechanical and Optical Resonators (8 papers). Dan Yu collaborates with scholars based in China, Hong Kong and United States. Dan Yu's co-authors include Hongpeng Liu, Xiudong Sun, Yongyuan Jiang, Weibo Wang, Xiao‐Jun Wu, Ke Zhou, Jian Wang, Qinggong Song, Liping Sun and Heng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Optics Letters.

In The Last Decade

Dan Yu

34 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Yu China 14 394 308 117 89 48 35 485
V. Matusevich Germany 14 375 1.0× 249 0.8× 94 0.8× 46 0.5× 61 1.3× 40 479
Jihong Zheng China 12 185 0.5× 153 0.5× 240 2.1× 57 0.6× 112 2.3× 54 377
Zhenghong He China 14 261 0.7× 147 0.5× 264 2.3× 100 1.1× 89 1.9× 46 463
Mike Pivnenko United Kingdom 13 149 0.4× 216 0.7× 209 1.8× 117 1.3× 120 2.5× 41 480
Pibin Bing China 10 88 0.2× 304 1.0× 71 0.6× 16 0.2× 171 3.6× 66 400
Ronny Förster Germany 10 169 0.4× 108 0.4× 59 0.5× 39 0.4× 240 5.0× 21 452
Ravi K. Komanduri United States 10 233 0.6× 179 0.6× 292 2.5× 86 1.0× 81 1.7× 18 409
P.M. Alt United States 10 158 0.4× 241 0.8× 148 1.3× 80 0.9× 35 0.7× 21 423
Ozair Siddiqui Pakistan 3 285 0.7× 120 0.4× 122 1.0× 222 2.5× 29 0.6× 10 430
B. Rachwał Poland 2 283 0.7× 116 0.4× 122 1.0× 222 2.5× 29 0.6× 8 419

Countries citing papers authored by Dan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Yu. A scholar is included among the top collaborators of Dan Yu 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 Dan Yu. Dan Yu 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.
Chen, Zimeng, Dan Yu, Qiuping Jiang, et al.. (2024). TPepPro: a deep learning model for predicting peptide–protein interactions. Bioinformatics. 41(1). 5 indexed citations
2.
Li, Guofeng, et al.. (2023). Improved secure PCA and LDA algorithms for intelligent computing in IoT‐to‐cloud setting. Computational Intelligence. 40(1). 5 indexed citations
3.
Yu, Dan, et al.. (2023). Assessing ChatGPT’s Comprehension of Perturbed Text through Text Linguistic Features. abs 1912 5957. 839–850. 1 indexed citations
4.
Liu, Hongpeng, et al.. (2021). Shear deformation response of a holographic sensor based on elastic poly(MMA-co-LMA) photopolymer. Optics Letters. 46(6). 1249–1249. 3 indexed citations
5.
Yu, Dan, et al.. (2021). Bending deformation characterization of a holographic sensor based on a flexible substrate. Optics & Laser Technology. 143. 107374–107374. 8 indexed citations
6.
Yu, Dan, Yuhang He, Hongpeng Liu, et al.. (2019). Characterizing the bending deformation of polymer utilizing the diffraction spectrum of a holographic grating on a flexible substrate. Optics Letters. 45(2). 579–579. 9 indexed citations
7.
Liu, Hongpeng, et al.. (2018). Direct light written holographic volume grating as a novel optical platform for sensing characterization of solution. Optics & Laser Technology. 109. 510–517. 12 indexed citations
8.
Yu, Dan & Xiao‐Jun Wu. (2017). 2DPCANet: a deep leaning network for face recognition. Multimedia Tools and Applications. 77(10). 12919–12934. 24 indexed citations
9.
Liu, Hongpeng, et al.. (2017). Novel pH-sensitive photopolymer hydrogel and its holographic sensing response for solution characterization. Optics & Laser Technology. 101. 257–267. 21 indexed citations
10.
Liu, Hongpeng, Dan Yu, Ke Zhou, et al.. (2016). Temperature-induced spectrum response of a volume grating as an effective strategy for holographic sensing in an acrylamide polymer part II: physical mechanism. Applied Optics. 55(35). 9917–9917. 10 indexed citations
11.
Liu, Hongpeng, et al.. (2016). Two-way shift of wavelength in holographic sensing of organic vapor in nanozeolites dispersed acrylamide photopolymer. Applied Optics. 55(23). 6212–6212. 18 indexed citations
12.
Liu, Hongpeng, et al.. (2016). Modeling swelling and absorption dynamics for holographic sensing in analytes sensitive photopolymer. Optics Communications. 368. 95–104. 9 indexed citations
13.
Yu, Dan, et al.. (2015). Enhancement of spectrum strength in holographic sensing in nanozeolites dispersed acrylamide photopolymer. Optics Express. 23(22). 29113–29113. 35 indexed citations
14.
Yu, Dan, et al.. (2014). Radical polymerization in holographic grating formation in PQ-PMMA photopolymer part II: Consecutive exposure and dark decay. Optics Communications. 330. 199–207. 16 indexed citations
15.
Yu, Dan, et al.. (2014). Radical polymerization in holographic grating formation in PQ-PMMA photopolymer part I: Short exposure. Optics Communications. 330. 191–198. 16 indexed citations
16.
Liu, Hongpeng, et al.. (2013). Dark polymerization of radicals and its contribution for grating formation in SiO2 nanoparticles dispersed glass like photopolymer. Optics Communications. 310. 160–165. 6 indexed citations
17.
Wang, Heng, Jian Wang, Hongpeng Liu, et al.. (2012). Study of effective optical thickness in photopolymer for application. Optics Letters. 37(12). 2241–2241. 25 indexed citations
18.
Yu, Dan, Hongpeng Liu, Yongyuan Jiang, & Xiudong Sun. (2011). Mutual diffusion dynamics with nonlocal response in SiO_2 nanoparticles dispersed PQ-PMMA bulk photopolymer. Optics Express. 19(15). 13787–13787. 35 indexed citations
19.
Liu, Hongpeng, et al.. (2010). Diffusional enhancement of volume gratings as an optimized strategy for holographic memory in PQ-PMMA photopolymer. Optics Express. 18(7). 6447–6447. 45 indexed citations
20.
Yu, Dan, Hongpeng Liu, Yongyuan Jiang, & Xiudong Sun. (2010). Holographic storage stability in PQ-PMMA bulk photopolymer. Optics Communications. 283(21). 4219–4223. 35 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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