Shengchao Chen

462 total citations
41 papers, 232 citations indexed

About

Shengchao Chen is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shengchao Chen has authored 41 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 7 papers in Atomic and Molecular Physics, and Optics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shengchao Chen's work include Advanced Fiber Optic Sensors (17 papers), Photonic and Optical Devices (9 papers) and Optical Network Technologies (5 papers). Shengchao Chen is often cited by papers focused on Advanced Fiber Optic Sensors (17 papers), Photonic and Optical Devices (9 papers) and Optical Network Technologies (5 papers). Shengchao Chen collaborates with scholars based in China, Australia and United Kingdom. Shengchao Chen's co-authors include Guanjun Wang, Mengxing Huang, Huan Zhao, Chenyang Xue, Ting Shu, Guodong Long, Jiahao Wang, Jing Jiang, Tao Shen and Shuna Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Express and Sensors.

In The Last Decade

Shengchao Chen

33 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengchao Chen China 11 115 39 39 28 22 41 232
Dian Fan China 11 238 2.1× 22 0.6× 83 2.1× 14 0.5× 32 1.5× 56 424
Yiming Wang China 11 252 2.2× 16 0.4× 93 2.4× 17 0.6× 48 2.2× 33 373
Joshua Rapp United States 6 38 0.3× 26 0.7× 32 0.8× 13 0.5× 48 2.2× 17 246
Travis Perry United States 5 91 0.8× 62 1.6× 23 0.6× 7 0.3× 42 1.9× 14 240
Anshul Sharma India 11 82 0.7× 26 0.7× 37 0.9× 39 1.4× 5 0.2× 37 288
Richard M. Marino United States 9 81 0.7× 50 1.3× 34 0.9× 12 0.4× 61 2.8× 18 263
M. Loepfe Switzerland 8 148 1.3× 167 4.3× 17 0.4× 7 0.3× 54 2.5× 11 393
Rudolf Schwarte Germany 11 142 1.2× 98 2.5× 55 1.4× 10 0.4× 93 4.2× 41 381
Ismo Kauppinen Finland 10 107 0.9× 69 1.8× 38 1.0× 9 0.3× 127 5.8× 19 341

Countries citing papers authored by Shengchao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shengchao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengchao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shengchao Chen. A scholar is included among the top collaborators of Shengchao Chen 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 Shengchao Chen. Shengchao Chen 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, Lei, Ning Niu, Chenggen Quan, et al.. (2025). Breaking Demodulation Limitations: AWG and Deep Learning in Dynamic Spectral Reconstruction for Differential FBG Accelerometers. IEEE Sensors Journal. 25(11). 19210–19222.
2.
Liu, Jianxun, et al.. (2025). Towards scalable and accurate property prediction for photonic crystal fibers with federated learning. Optics Express. 33(16). 33421–33421. 1 indexed citations
3.
Zhang, Hongbin, Shengchao Chen, Yilin Huang, et al.. (2024). Hot deformation behavior and processing map of vanadium particles reinforced AZ31 composite. Journal of Alloys and Compounds. 999. 175047–175047. 7 indexed citations
4.
Li, Rui, et al.. (2024). Curvature sensing via symmetric fiber ball MZI and neural network with sparse data. Optical Fiber Technology. 85. 103800–103800. 1 indexed citations
5.
Chen, Shengchao, Jiahao Wang, Xuan Hou, et al.. (2024). A distributed photonic crystal fiber reverse design framework based on multi-source knowledge fusion. Optical Fiber Technology. 84. 103718–103718. 3 indexed citations
6.
Wang, Jiahao, et al.. (2024). Ensemble learning for retinal disease recognition under limited resources. Medical & Biological Engineering & Computing. 62(9). 2839–2852. 2 indexed citations
7.
Chen, Shengchao, et al.. (2024). High-Resolution Spectrum Reconstruction of Cascaded FBG-FPI Sensor in Resource-Constrained Environments. IEEE Sensors Journal. 24(7). 11878–11885. 1 indexed citations
8.
Chen, Shengchao, Yule Hu, Xuan Hou, et al.. (2024). Rethink Training: Synthetic Data Powers Efficient Fiber-Optics Sensor Demodulation Neural Networks. IEEE Sensors Journal. 24(19). 31408–31416. 2 indexed citations
9.
Zhou, Haiping, Zhongwei Wang, Yilin Huang, et al.. (2024). Effect of Heat Treatment on Microstructure and Mechanical Properties of a Precipitation-Hardened Stainless Steel Prepared by Selective Laser Melting. Journal of Materials Engineering and Performance. 34(2). 934–945. 1 indexed citations
10.
11.
Shi, Jianying, et al.. (2023). Recognition System for Diagnosing Pneumonia and Bronchitis Using Children’s Breathing Sounds Based on Transfer Learning. Intelligent Automation & Soft Computing. 37(3). 3235–3258. 1 indexed citations
12.
Chen, Shengchao, Guodong Long, Tao Shen, & Jing Jiang. (2023). Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. 3532–3540. 17 indexed citations
13.
Chen, Shengchao, et al.. (2023). High-efficiency FBG array sensor interrogation system via a neural network working with sparse data. Optics Express. 31(5). 8937–8937. 24 indexed citations
14.
Chen, Shengchao, et al.. (2023). Dual-Parameter Demodulation of FBG-FPI Cascade Sensors via Sparse Samples: A Deep Learning-Based Perspective. IEEE Sensors Journal. 23(19). 23903–23915. 9 indexed citations
15.
Chen, Shengchao, Ting Shu, Huan Zhao, & Yuan Yan Tang. (2023). MASK-CNN-Transformer for real-time multi-label weather recognition. Knowledge-Based Systems. 278. 110881–110881. 11 indexed citations
16.
Zhang, Xuanming, Qiying Wang, Shengchao Chen, et al.. (2023). Integrated and Robust Fabry–Perot Humidity Sensor Based on Metal–Organic Framework onto Fiber-Optic Facet. IEEE Sensors Journal. 23(12). 12906–12914. 11 indexed citations
17.
Chen, Shengchao, Ning Niu, Jiahao Wang, et al.. (2023). Diffusion Model in Semi-Supervised Scleral Segmentation. 376–382. 2 indexed citations
18.
Yang, Qian, Shengchao Chen, Zilu Liu, et al.. (2023). Fabrication and Demodulation for Sensitivity Enhanced Fiber Fabry-Pérot Sensor Based on Hookean Effect. IEEE Sensors Journal. 23(23). 28932–28941. 2 indexed citations
19.
Chen, Shengchao, et al.. (2023). Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images. IEEE Journal of Biomedical and Health Informatics. 28(2). 753–764. 17 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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