Xingjun Wang

543 total citations
9 papers, 297 citations indexed

About

Xingjun Wang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Xingjun Wang has authored 9 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Atomic and Molecular Physics, and Optics and 2 papers in Artificial Intelligence. Recurrent topics in Xingjun Wang's work include Photonic and Optical Devices (7 papers), Advanced Fiber Laser Technologies (5 papers) and Optical Network Technologies (3 papers). Xingjun Wang is often cited by papers focused on Photonic and Optical Devices (7 papers), Advanced Fiber Laser Technologies (5 papers) and Optical Network Technologies (3 papers). Xingjun Wang collaborates with scholars based in China, United States and Australia. Xingjun Wang's co-authors include Haowen Shu, John E. Bowers, Lin Chang, Chao Xiang, Scott B. Papp, Jon Peters, Boqiang Shen, Andreas Boes, Weiqiang Xie and Warren Jin and has published in prestigious journals such as Nature Communications, Scientific Reports and Optics Letters.

In The Last Decade

Xingjun Wang

9 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xingjun Wang China	5	261	234	44	30	16	9	297
Liao Chen China	10	268 1.0×	213 0.9×	73 1.7×	22 0.7×	20 1.3×	48	319
Martino Bernard Italy	11	274 1.0×	230 1.0×	34 0.8×	56 1.9×	40 2.5×	36	322
Y. Park Canada	6	488 1.9×	405 1.7×	38 0.9×	58 1.9×	11 0.7×	24	520
Sören Dhoore Belgium	8	350 1.3×	223 1.0×	47 1.1×	29 1.0×	27 1.7×	10	366
Anton Stroganov Switzerland	10	244 0.9×	214 0.9×	49 1.1×	17 0.6×	27 1.7×	40	336
Khoa Dinh Xuan Vietnam	13	375 1.4×	406 1.7×	34 0.8×	15 0.5×	15 0.9×	28	493
F. Warken Germany	6	444 1.7×	367 1.6×	74 1.7×	39 1.3×	15 0.9×	6	508
Hannah R. Grant United States	6	354 1.4×	304 1.3×	27 0.6×	43 1.4×	17 1.1×	22	410
Wei C. Jiang United States	10	424 1.6×	433 1.9×	48 1.1×	78 2.6×	16 1.0×	23	491
Alessandro Trenti Austria	8	225 0.9×	232 1.0×	68 1.5×	69 2.3×	37 2.3×	23	327

Countries citing papers authored by Xingjun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xingjun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjun Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Shu, Haowen, et al.. (2024). Microcomb technology: from principles to applications. 3(4). R09–R09. 2 indexed citations

2.

Shu, Haowen, Bitao Shen, Lin Chang, et al.. (2021). Mode-locked dark-pulse Kerr combs in normal-dispersion AlGaAs-on-insulator microresonators. Conference on Lasers and Electro-Optics. STu2G.4–STu2G.4. 2 indexed citations

3.

Chang, Lin, Weiqiang Xie, Haowen Shu, et al.. (2020). Ultra-efficient frequency comb generation in AlGaAs-on-insulator microresonators. Nature Communications. 11(1). 1331–1331. 189 indexed citations

4.

Qin, Jun, Haowen Shu, Lin Chang, et al.. (2020). On-chip High-efficiency Channel-selective Wavelength Multicasting of PAM3/PAM4 Signals Using an AlGaAsOI Waveguide. Conference on Lasers and Electro-Optics. SM4L.6–SM4L.6. 2 indexed citations

5.

Qin, Jun, Haowen Shu, Weiqiang Xie, et al.. (2020). On-chip high-efficiency wavelength multicasting of PAM3/PAM4 signals using low-loss AlGaAs-on-insulator nanowaveguides. Optics Letters. 45(16). 4539–4539. 13 indexed citations

6.

Tao, Yuansheng, Haowen Shu, Ming Jin, et al.. (2019). Numerical investigation of the linearity of graphene-based silicon waveguide modulator. Optics Express. 27(6). 9013–9013. 15 indexed citations

7.

Shu, Haowen, Le Huang, Zhennan Wu, et al.. (2018). Significantly High Modulation Efficiency of Compact Graphene Modulator Based on Silicon Waveguide. Scientific Reports. 8(1). 991–991. 51 indexed citations

8.

Shu, Haowen, Jun‐Long Zhang, Xingjun Wang, Tiantian Li, & Zhiping Zhou. (2016). Simulation and Experimental Results of Single Drive Silicon Mach-Zehnder Modulator. 24. AF2A.56–AF2A.56. 1 indexed citations

9.

Zhou, Zhiping, et al.. (2013). Investigation of Random Telegraph Noise in the Dark Current of Germanium Waveguide Photodetector. IEEE Journal of Selected Topics in Quantum Electronics. 20(4). 50–55. 22 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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