Weiquan Su

1.1k total citations
18 papers, 894 citations indexed

About

Weiquan Su is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Ceramics and Composites. According to data from OpenAlex, Weiquan Su has authored 18 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 5 papers in Ceramics and Composites. Recurrent topics in Weiquan Su's work include Advanced Fiber Optic Sensors (12 papers), Photonic Crystal and Fiber Optics (9 papers) and Plasmonic and Surface Plasmon Research (8 papers). Weiquan Su is often cited by papers focused on Advanced Fiber Optic Sensors (12 papers), Photonic Crystal and Fiber Optics (9 papers) and Plasmonic and Surface Plasmon Research (8 papers). Weiquan Su collaborates with scholars based in China, Hong Kong and United States. Weiquan Su's co-authors include Chao Liu, Paul K. Chu, Tao Sun, Qiang Liu, Famei Wang, Xianli Li, Jingwei Lv, Xili Lu, Lin Yang and Haiwei Mu and has published in prestigious journals such as Optics Express, Journal of Non-Crystalline Solids and Ceramics International.

In The Last Decade

Weiquan Su

17 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weiquan Su China	12	749	550	109	105	47	18	894
Abdul Khaleque Bangladesh	18	811 1.1×	309 0.6×	88 0.8×	196 1.9×	36 0.8×	62	936
Richard Lwin Australia	17	844 1.1×	149 0.3×	122 1.1×	183 1.7×	78 1.7×	54	970
F. AbdelMalek Tunisia	17	732 1.0×	314 0.6×	128 1.2×	370 3.5×	56 1.2×	69	901
Famei Wang China	17	1.3k 1.7×	893 1.6×	154 1.4×	176 1.7×	56 1.2×	31	1.5k
Neil F. Baril United States	12	820 1.1×	212 0.4×	17 0.2×	291 2.8×	19 0.4×	32	892
Famei Wang China	11	495 0.7×	382 0.7×	85 0.8×	79 0.8×	41 0.9×	22	617
Seung Beom Kang South Korea	8	390 0.5×	242 0.4×	421 3.9×	205 2.0×	222 4.7×	30	720
Yucong Yang China	10	250 0.3×	109 0.2×	117 1.1×	177 1.7×	34 0.7×	27	401
Adrian Amezcua-Correa United States	11	725 1.0×	229 0.4×	64 0.6×	173 1.6×	4 0.1×	36	826
Johannes Sturm Austria	11	443 0.6×	101 0.2×	47 0.4×	68 0.6×	22 0.5×	60	495

Countries citing papers authored by Weiquan Su

Since Specialization

Citations

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

Fields of papers citing papers by Weiquan Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiquan Su

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

All Works

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18 of 18 papers shown

Meng, Fanchao, Yiming Zhao, Hongwei Liu, et al.. (2023). Artificial intelligence designer for optical Fibers: Inverse design of a Hollow-Core Anti-Resonant fiber based on a tandem neural network. Results in Physics. 46. 106310–106310. 17 indexed citations

Zhu, Mei‐Jun, Chao Liu, Zao Yi, et al.. (2022). Photonic crystal fiber supporting 394 orbital angular momentum modes with flat dispersion, low nonlinear coefficient, and high mode quality. Optical Engineering. 61(2). 20 indexed citations

Zhang, Dongchen, Weiquan Su, Lüyun Yang, & Wei Chen. (2022). Novel luminescence of bismuth in silica glass and fiber based on nanoporous glass. Ceramics International. 48(18). 27011–27017. 6 indexed citations

Su, Weiquan, et al.. (2022). Optical fiber with homogeneous material by side-array cladding. Applied Optics. 61(33). 10012–10012.

Liu, Chao, Jingwei Lv, Lin Yang, et al.. (2021). Multi-functional gallium arsenide photonic crystal polarization splitter with a gold core. Modern Physics Letters B. 35(14). 2150229–2150229. 1 indexed citations

Liu, Yongguang, Suyu Wang, Dongchen Zhang, et al.. (2021). Upconversion luminescence characteristics of Er / Yb / P codoped double cladding fiber based on nanoporous silica glass. Ceramics International. 47(20). 29335–29341. 4 indexed citations

Liu, Yongguang, Suyu Wang, Dongchen Zhang, et al.. (2021). Broadband luminescence at 1.5 μm of Er P co-doped high silica glass by nanoporous doping technology. Journal of Non-Crystalline Solids. 575. 121206–121206. 4 indexed citations

Zhang, Dongchen, Suyu Wang, Yongguang Liu, et al.. (2021). Regulation of bismuth valence in nano-porous silica glass for near infrared ultra-wideband optical amplification. Ceramics International. 47(23). 32619–32625. 16 indexed citations

Wang, Suyu, Yongguang Liu, Dongchen Zhang, et al.. (2021). Tailoring of communication band luminescence for super broadband optical amplifier based on Er3+/Yb3+/P5+ co-doped nanoporous silica glass. Ceramics International. 47(13). 18913–18919. 17 indexed citations

10.

Liu, Wei, Famei Wang, Chao Liu, et al.. (2020). A hollow dual-core PCF-SPR sensor with gold layers on the inner and outer surfaces of the thin cladding. Results in Optics. 1. 100004–100004. 40 indexed citations

11.

Lv, Jingwei, Zao Yi, Chao Liu, et al.. (2020). Ultra-short and dual-core photonic crystal fiber polarization splitter composed of metal and gallium arsenide. Optik. 226. 165779–165779. 34 indexed citations

12.

Liu, Chao, Jianwei Wang, Famei Wang, et al.. (2020). Surface plasmon resonance (SPR) infrared sensor based on D-shape photonic crystal fibers with ITO coatings. Optics Communications. 464. 125496–125496. 198 indexed citations

13.

Wang, Jianwei, Chao Liu, Famei Wang, et al.. (2020). Surface plasmon resonance sensor based on coupling effects of dual photonic crystal fibers for low refractive indexes detection. Results in Physics. 18. 103240–103240. 66 indexed citations

14.

Han, Jian, Weiquan Su, Chao Liu, et al.. (2019). Asymmetrical photonic crystal fiber based on the surface plasmon resonance sensor and analysis by the lower-birefringence peak method. Optik. 189. 121–129. 5 indexed citations

15.

Liu, Chao, Weiquan Su, Famei Wang, et al.. (2018). Birefringent PCF-Based SPR Sensor for a Broad Range of Low Refractive Index Detection. IEEE Photonics Technology Letters. 30(16). 1471–1474. 65 indexed citations

16.

Liu, Chao, Weiquan Su, Famei Wang, et al.. (2018). Theoretical assessment of a highly sensitive photonic crystal fibre based on surface plasmon resonance sensor operating in the near-infrared wavelength. Journal of Modern Optics. 66(1). 1–6. 77 indexed citations

17.

Liu, Chao, Weiquan Su, Qiang Liu, et al.. (2018). Symmetrical dual D-shape photonic crystal fibers for surface plasmon resonance sensing. Optics Express. 26(7). 9039–9039. 234 indexed citations

18.

Liu, Chao, Lin Yang, Weiquan Su, et al.. (2016). Numerical analysis of a photonic crystal fiber based on a surface plasmon resonance sensor with an annular analyte channel. Optics Communications. 382. 162–166. 90 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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