Sheng Liang

1.5k total citations · 1 hit paper
90 papers, 1.1k citations indexed

About

Sheng Liang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Sheng Liang has authored 90 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 31 papers in Atomic and Molecular Physics, and Optics and 14 papers in Biomedical Engineering. Recurrent topics in Sheng Liang's work include Advanced Fiber Optic Sensors (57 papers), Photonic and Optical Devices (27 papers) and Advanced Fiber Laser Technologies (27 papers). Sheng Liang is often cited by papers focused on Advanced Fiber Optic Sensors (57 papers), Photonic and Optical Devices (27 papers) and Advanced Fiber Laser Technologies (27 papers). Sheng Liang collaborates with scholars based in China, Singapore and Russia. Sheng Liang's co-authors include Shuqin Lou, Xinzhi Sheng, Chunxi Zhang, Bo Lin, Lijing Li, Xin Wang, Guangming Tao, Cheng‐Wei Qiu, Jun Liang and Xianjun Zhou and has published in prestigious journals such as PLoS ONE, Physical Chemistry Chemical Physics and Optics Letters.

In The Last Decade

Sheng Liang

78 papers receiving 1.0k citations

Hit Papers

Radiative cooling for passive thermal management towards ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Liang China 18 733 306 199 181 106 90 1.1k
Wenzhu Huang China 20 749 1.0× 334 1.1× 114 0.6× 58 0.3× 55 0.5× 118 1.3k
Steven Hinckley Australia 13 700 1.0× 182 0.6× 71 0.4× 162 0.9× 33 0.3× 88 854
Bo Yang China 21 1.1k 1.4× 607 2.0× 54 0.3× 161 0.9× 63 0.6× 181 1.5k
Baoquan Jin China 20 1.3k 1.8× 383 1.3× 159 0.8× 311 1.7× 81 0.8× 121 1.6k
Qiancheng Zhao China 19 1.1k 1.5× 773 2.5× 63 0.3× 329 1.8× 75 0.7× 172 1.5k
Nageswara Lalam United States 10 826 1.1× 271 0.9× 128 0.6× 136 0.8× 53 0.5× 61 1.0k
Yiyang Zhuang United States 20 733 1.0× 168 0.5× 108 0.5× 189 1.0× 21 0.2× 40 938
Jian Zhao China 16 560 0.8× 265 0.9× 68 0.3× 401 2.2× 46 0.4× 137 1.1k
Mudabbir Badar United States 9 748 1.0× 244 0.8× 109 0.5× 177 1.0× 47 0.4× 21 941

Countries citing papers authored by Sheng Liang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Liang. A scholar is included among the top collaborators of Sheng Liang 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 Sheng Liang. Sheng Liang 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.
Liu, Yuan, et al.. (2024). AI-aided diagnosis of periodontitis in oral X-ray images. Displays. 86. 102895–102895. 1 indexed citations
2.
Liu, Meiyu, et al.. (2024). Ai-aided diagnosis of oral X-ray images of periapical films based on deep learning. Displays. 82. 102649–102649. 5 indexed citations
3.
Meng, Fanchao, Yiming Zhao, Xin Wang, et al.. (2023). “Machine micro/nano optics scientist”: Application and development of artificial intelligence in micro/nano optical design. Acta Physica Sinica. 72(11). 114204–114204. 1 indexed citations
4.
Liang, Sheng, et al.. (2023). Reliability Assessment of Distributed Network Control System Based on Time Delay Evaluation. IEEE Access. 11. 123004–123017. 1 indexed citations
5.
Peng, Li, et al.. (2023). Recognition and segmentation of teeth and mandibular nerve canals in panoramic dental X-rays by Mask RCNN. Displays. 78. 102447–102447. 13 indexed citations
6.
Chen, Xi, Tao Zhang, Yiming Zhao, et al.. (2023). Grating waveguides by machine learning for augmented reality. Applied Optics. 62(11). 2924–2924. 13 indexed citations
7.
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
8.
Cui, Yiping, Xu Zhang, Xi Chen, et al.. (2023). Efficiency uniformity improvement of gratings for head-up display waveguide using multilayer perceptron network. Optical and Quantum Electronics. 56(3). 2 indexed citations
9.
Peng, Li, et al.. (2022). Faster-RCNN based intelligent detection and localization of dental caries. Displays. 74. 102201–102201. 29 indexed citations
10.
Meng, Fanchao, Xin Wang, Shuqin Lou, et al.. (2022). All-solid anti-resonant single crystal fibers. Frontiers of Optoelectronics. 15(1).
11.
Meng, Fanchao, Xin Wang, Shuqin Lou, et al.. (2021). Refractive-index guiding single crystal optical fiber with air–solid cladding. Optical Materials Express. 11(9). 2994–2994. 1 indexed citations
12.
Meng, Fanchao, Yingli Niu, Xinghua Zhang, et al.. (2021). Use of machine learning to efficiently predict the confinement loss in anti-resonant hollow-core fiber. Optics Letters. 46(6). 1454–1454. 25 indexed citations
13.
Wang, Xin, et al.. (2021). Event identification of a phase-sensitive OTDR sensing system based on principal component analysis and probabilistic neural network. Infrared Physics & Technology. 114. 103630–103630. 10 indexed citations
14.
Wang, Zhandong, Shuqin Lou, Xin Wang, Sheng Liang, & Xinzhi Sheng. (2020). Multi-branch long short-time memory convolution neural network for event identification in fiber-optic distributed disturbance sensor based on φ-OTDR. Infrared Physics & Technology. 109. 103414–103414. 21 indexed citations
16.
Zhang, Mei, Yuan Yuan, Sheng Liang, et al.. (2017). Irradiation-induced effect measurement in double-clad large core pure quartz fiber on 60 Co source. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 51(3). 536–542. 1 indexed citations
17.
Yang, Fan, et al.. (2015). Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering. 557–560. 2 indexed citations
18.
Lou, Shuqin, et al.. (2013). A modified phase generation carrier technique for fiber-optic distributed disturbance sensor. Optik. 125(3). 942–945. 4 indexed citations
19.
Liang, Sheng, et al.. (2010). The Design of Time Resolved Intensified CCD Imaging System. Hedianzixue yu tance jishu. 30(8). 1063–1066. 1 indexed citations
20.
Lin, Bo, Han Zhang, Swee Chuan Tjin, et al.. (2010). Inverse-Gaussian apodized fiber Bragg grating for dual-wavelength lasing. Applied Optics. 49(8). 1373–1373. 10 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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