Feng Fu

601 total citations
46 papers, 421 citations indexed

About

Feng Fu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Feng Fu has authored 46 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 15 papers in Biomedical Engineering and 12 papers in Mechanics of Materials. Recurrent topics in Feng Fu's work include Electrical and Bioimpedance Tomography (30 papers), Flow Measurement and Analysis (11 papers) and Microwave Imaging and Scattering Analysis (10 papers). Feng Fu is often cited by papers focused on Electrical and Bioimpedance Tomography (30 papers), Flow Measurement and Analysis (11 papers) and Microwave Imaging and Scattering Analysis (10 papers). Feng Fu collaborates with scholars based in China, United States and United Kingdom. Feng Fu's co-authors include Fusheng You, Xiuzhen Dong, Xuetao Shi, Yanyan Shi, Canhua Xu, Chi Tang, Meng Wang, Dakuan Gao, Guosheng Yang and Guang Cheng and has published in prestigious journals such as Journal of Materials Chemistry A, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Feng Fu

41 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Fu China 11 263 147 63 62 43 46 421
Thomas Dowrick United Kingdom 11 311 1.2× 169 1.1× 73 1.2× 110 1.8× 37 0.9× 33 427
Andrea Romsauerova United Kingdom 7 257 1.0× 163 1.1× 52 0.8× 85 1.4× 38 0.9× 8 290
RH Bayford United Kingdom 5 441 1.7× 282 1.9× 114 1.8× 98 1.6× 71 1.7× 9 478
Rebecca Yerworth United Kingdom 12 483 1.8× 286 1.9× 127 2.0× 158 2.5× 87 2.0× 30 580
P. Milnes United Kingdom 14 432 1.6× 270 1.8× 103 1.6× 138 2.2× 33 0.8× 22 606
Hun Wi South Korea 12 399 1.5× 314 2.1× 98 1.6× 115 1.9× 41 1.0× 30 520
Sharon Zlochiver Israel 11 206 0.8× 87 0.6× 46 0.7× 99 1.6× 14 0.3× 34 367
Ruigang Liu China 12 456 1.7× 245 1.7× 102 1.6× 110 1.8× 94 2.2× 54 513
Joubin Nasehi Tehrani Australia 10 106 0.4× 147 1.0× 27 0.4× 40 0.6× 34 0.8× 22 357
Zhenyu Ji China 10 268 1.0× 147 1.0× 53 0.8× 38 0.6× 31 0.7× 40 384

Countries citing papers authored by Feng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Fu. A scholar is included among the top collaborators of Feng Fu 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 Feng Fu. Feng Fu 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.
Zhang, Baojie, et al.. (2025). Model-Based Deep Unrolling Framework for Electrical Impedance Tomography Image Reconstruction. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
2.
Liu, Xuechao, Weirui Zhang, Liangliang Zhang, et al.. (2024). Removal of Vibration Interference Artifacts in Electrical Impedance Tomography Monitoring Using Residual Learning Strategy. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 2 indexed citations
3.
Liu, Zhian, Jing Li, Jing Zhu, et al.. (2024). Classification of Three Anesthesia Stages Based on Near-Infrared Spectroscopy Signals. IEEE Journal of Biomedical and Health Informatics. 28(9). 5270–5279. 34 indexed citations
4.
Zhang, Liangliang, et al.. (2024). Multi-Path Fusion in SFCF-Net for Enhanced Multi-Frequency Electrical Impedance Tomography. IEEE Transactions on Medical Imaging. 43(8). 2814–2824. 7 indexed citations
5.
Shi, Yanyan, et al.. (2024). Densely Connected Convolutional Neural Network-Based Invalid Data Compensation for Brain Electrical Impedance Tomography. IEEE Transactions on Computational Imaging. 10. 143–153. 7 indexed citations
6.
Liu, Xuechao, Weirui Zhang, Liangliang Zhang, et al.. (2023). Effective Electrical Impedance Tomography Based on Enhanced Encoder–Decoder Using Atrous Spatial Pyramid Pooling Module. IEEE Journal of Biomedical and Health Informatics. 27(7). 3282–3291. 11 indexed citations
7.
Shi, Yanyan, et al.. (2023). Robust Compensation of Contact Impedance Change With Fully Connected Neural Network in Brain EIT. IEEE Sensors Journal. 23(17). 20169–20179. 2 indexed citations
8.
Shi, Yanyan, et al.. (2023). Intracerebral Hemorrhage Imaging Based on Hybrid Deep Learning With Electrical Impedance Tomography. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 17 indexed citations
9.
Shi, Yanyan, et al.. (2022). Image Reconstruction of Conductivity Distribution With Combined L 1 -Norm Fidelity and Hybrid Total Variation Penalty. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 9 indexed citations
10.
Shi, Yanyan, et al.. (2022). Residual Convolutional Neural Network-Based Stroke Classification With Electrical Impedance Tomography. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 12 indexed citations
11.
Shi, Yanyan, et al.. (2022). A Mismatch Correction Method for Electrode Offset in Electrical Impedance Tomography. IEEE Sensors Journal. 22(7). 7248–7257. 5 indexed citations
12.
Shi, Yanyan, et al.. (2022). Compensation of Contact Impedance Variation for Cerebral Electrical Impedance Tomography. IEEE Sensors Journal. 22(24). 24541–24549. 7 indexed citations
13.
Yang, Lin, et al.. (2021). A Wireless, Low-Power, and Miniaturized EIT System for Remote and Long-Term Monitoring of Lung Ventilation in the Isolation Ward of ICU. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 15 indexed citations
14.
Zhang, Weirui, Xuechao Liu, Bin Yang, et al.. (2021). Target Adaptive Differential Iterative Reconstruction (TADI): A Robust Algorithm for Real-Time Electrical Impedance Tomography. IEEE Access. 9. 141999–142011. 11 indexed citations
15.
Xu, Canhua, et al.. (2020). Automatic Evaluation of Mannitol Dehydration Treatments on Controlling Intracranial Pressure Using Electrical Impedance Tomography. IEEE Sensors Journal. 20(9). 4832–4839. 8 indexed citations
16.
Fu, Feng, Yan Gao, Xiue Wei, et al.. (2011). Survey of treatment of hypertension among patients with ischemic stroke. 19. 246–250. 1 indexed citations
17.
Wang, Ji‐Jiang, et al.. (2011). Synthesis,Structure and Photoluminescent Property of a New 2D Zn(II) Coordination Polymer Constructed by Biphenyl-3,3',5,5'-tetracarboxylate. Chinese Journal of Structural Chemistry. 30(12). 1787–1790. 10 indexed citations
18.
Fu, Feng. (2008). The application of electrical impendence tomography for monitoring retroperitoneal bleeding in pigs. 1 indexed citations
19.
Li, Lili, Qiang Shen, Ganglin Xue, et al.. (2008). 新規構築ブロックAs(III)Mo7O279-に基づいた2種のサンドイッチヒ素モリブデン酸塩: [Cr2(AsMo7O27)2]12-と[Cu2(AsMo7O27)2]14-. Dalton Transactions. 5698–5700. 2 indexed citations
20.
You, Fusheng, Xiuzhen Dong, Xuetao Shi, et al.. (2004). Research on Analog Demodulation Techniques of Bio-electrical Impedance Measurements. 23(1). 3 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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