Shuxia Yan

891 total citations
57 papers, 627 citations indexed

About

Shuxia Yan is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shuxia Yan has authored 57 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 18 papers in Aerospace Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shuxia Yan's work include Microwave Engineering and Waveguides (33 papers), Electromagnetic Simulation and Numerical Methods (21 papers) and Radio Frequency Integrated Circuit Design (11 papers). Shuxia Yan is often cited by papers focused on Microwave Engineering and Waveguides (33 papers), Electromagnetic Simulation and Numerical Methods (21 papers) and Radio Frequency Integrated Circuit Design (11 papers). Shuxia Yan collaborates with scholars based in China, Canada and Singapore. Shuxia Yan's co-authors include Qi‐Jun Zhang, Feng Feng, Weicong Na, Jianan Zhang, Lin Zhu, Jianguo Ma, Wenyuan Liu, Wei Zhang, Jing Jin and Chuan Zhang and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Shuxia Yan

52 papers receiving 615 citations

Peers

Shuxia Yan

EEE

AE

AI

BE

EOMM

S. E. Barbin Brazil

Filiz Güneş Türkiye

Haiyang Wang China

James Lyke United States

Ulf Gustavsson Sweden

Kiyomichi Araki Japan

Sen Wang Taiwan

Tianjian Lu United States

Tao Huang China

Flavia Grassi Italy

S. E. Barbin Brazil

Shuxia Yan

662 ×1.3

EEE

622 ×3.2

AE

24 ×0.6

AI

61 ×1.6

BE

42 ×1.4

EOMM

Citations per year, relative to Shuxia Yan Shuxia Yan (= 1×) peers S. E. Barbin

Countries citing papers authored by Shuxia Yan

Since Specialization

Citations

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

Fields of papers citing papers by Shuxia Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxia Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Shuxia Yan. A scholar is included among the top collaborators of Shuxia Yan 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 Shuxia Yan. Shuxia Yan 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:

20 of 20 papers shown

1.

Yan, Shuxia, et al.. (2024). Advanced electromagnetic modeling method based on neuro-space mapping for SISL devices. IEICE Electronics Express. 21(15). 20240289–20240289. 1 indexed citations

2.

Yan, Shuxia, et al.. (2024). An Efficient Sensitivity-Driven Stepwise Method Incorporating Transfer Learning for Wide-Range Parametric Modeling of Microwave Components. IEEE Microwave and Wireless Technology Letters. 35(1). 19–22. 1 indexed citations

3.

Yan, Shuxia, et al.. (2023). Improved Empirical Formula Modeling Method Using Neuro-Space Mapping for Coupled Microstrip Lines. Micromachines. 14(8). 1600–1600. 1 indexed citations

4.

Yan, Shuxia, et al.. (2023). Analytical Separated Neuro-Space Mapping Modeling Method of Power Transistor. Micromachines. 14(2). 426–426. 1 indexed citations

5.

Yan, Shuxia, et al.. (2023). A Mesh Space Mapping Modeling Method with Mesh Deformation for Microwave Components. Micromachines. 14(9). 1783–1783. 1 indexed citations

6.

Feng, Feng, Jing Jin, Shuxia Yan, et al.. (2023). Inverse Multivalued Neural Network Modeling of Fourth-Order Microwave Filter.

7.

Yan, Shuxia, et al.. (2023). A Novel Strategy for Extracting Richer Semantic Information Based on Fault Detection in Power Transmission Lines. Entropy. 25(9). 1333–1333. 2 indexed citations

8.

Feng, Feng, et al.. (2023). Simulation-Inserted Optimization of Four-Order Waveguide Filter Using Combined Quasi-Newton Method With Lagrangian Method. 1 indexed citations

9.

Zhang, Yimin, Feng Feng, Jianan Zhang, et al.. (2023). Polynomial Chaos-Based Yield Optimization of Three-Pole H-Plane Filter. 1–3. 1 indexed citations

10.

Liu, Gaohua, et al.. (2023). A Novel Small Target Detection Strategy: Location Feature Extraction in the Case of Self-Knowledge Distillation. Applied Sciences. 13(6). 3683–3683. 1 indexed citations

11.

Na, Weicong, Wei Zhang, Shuxia Yan, et al.. (2023). A Design and Optimization Method of Bandpass Filters Based on Space Mapping Technique. 1–3. 1 indexed citations

12.

Feng, Feng, et al.. (2022). Recent Advances in Gradient-based EM Optimization using Neuro-TF Surrogate. 1 indexed citations

13.

Zhang, Wei, Feng Feng, Wenyuan Liu, et al.. (2021). Advanced Parallel Space-Mapping-Based Multiphysics Optimization for High-Power Microwave Filters. IEEE Transactions on Microwave Theory and Techniques. 69(5). 2470–2484. 36 indexed citations

14.

Zhang, Wei, et al.. (2020). Multiphysics Parametric Modeling of Microwave Components Using Combined Neural Networks and Transfer Function. IEEE Access. 8. 5383–5392. 5 indexed citations

15.

Jin, Jing, Feng Feng, Jianan Zhang, et al.. (2020). A Novel Deep Neural Network Topology for Parametric Modeling of Passive Microwave Components. IEEE Access. 8. 82273–82285. 40 indexed citations

16.

Yan, Shuxia, et al.. (2018). Neurospace Mapping Modeling for Packaged Transistors. Mathematical Problems in Engineering. 2018. 1–9. 2 indexed citations

17.

Zhang, Wei, Feng Feng, Venu-Madhav-Reddy Gongal-Reddy, et al.. (2018). Space Mapping Approach to Electromagnetic Centric Multiphysics Parametric Modeling of Microwave Components. IEEE Transactions on Microwave Theory and Techniques. 66(7). 3169–3185. 63 indexed citations

18.

Yan, Shuxia, et al.. (2016). Review of neural network technique for modeling PA memory effect. 1–2. 2 indexed citations

19.

Zhang, Wei, Shuxia Yan, Feng Feng, & Qi‐Jun Zhang. (2015). Fast and simple technique for computing circuit noise figure from component noise model using artificial neural network. 1–3. 3 indexed citations

20.

Zhou, Chunxia, et al.. (2011). Dual-band UWB filter with LTCC technology. Electronics Letters. 47(22). 1230–1232. 8 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.

Explore authors with similar magnitude of impact