Shiwei Wang

2.8k total citations
103 papers, 1.3k citations indexed

About

Shiwei Wang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Shiwei Wang has authored 103 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 32 papers in Cellular and Molecular Neuroscience and 27 papers in Biomedical Engineering. Recurrent topics in Shiwei Wang's work include Neuroscience and Neural Engineering (29 papers), Advanced Memory and Neural Computing (28 papers) and Analog and Mixed-Signal Circuit Design (15 papers). Shiwei Wang is often cited by papers focused on Neuroscience and Neural Engineering (29 papers), Advanced Memory and Neural Computing (28 papers) and Analog and Mixed-Signal Circuit Design (15 papers). Shiwei Wang collaborates with scholars based in China, United Kingdom and Belgium. Shiwei Wang's co-authors include Carolina Mora López, Nick Van Helleputte, Jan Putzeys, Marco Ballini, Chris Van Hoof, Bogdan Raducanu, Alexandru Andrei, Refet Fırat Yazıcıoğlu, Srinjoy Mitra and Silke Musa and has published in prestigious journals such as Advanced Materials, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Shiwei Wang

86 papers receiving 1.2k citations

Peers

Shiwei Wang

EEE

CMN

D. Freeman United States

Blaise Yvert France

Sotiris C. Masmanidis United States

Chengyu Li China

Peter Ramm Germany

Yoshikatsu Hayashi Japan

Hirokazu Takahashi Japan

Caleb Kemere United States

Ramin Pashaie United States

Xiaobin He China

D. Freeman United States

Shiwei Wang

439 ×0.7

EEE

444 ×0.8

CMN

302 ×0.7

247 ×0.8

29 ×0.3

Citations per year, relative to Shiwei Wang Shiwei Wang (= 1×) peers D. Freeman

Countries citing papers authored by Shiwei Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shiwei Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwei Wang

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

20 of 20 papers shown

Huang, Zhiyong, Hongyu Qiu, Zhi Yu, et al.. (2025). MCECF: A Multiscale Complementary Enhanced Context Fusion Network for Remote Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 1 indexed citations

Zhong, Daidi, Xiaoyu Li, Huang Zhiyong, et al.. (2025). Multi-modal multi-scale representation learning via cross-attention between chest radiology images and free-text reports. Biomedical Signal Processing and Control. 111. 108318–108318.

Wang, Shiwei, et al.. (2024). Design of a low-power Digital-to-Pulse Converter (DPC) for in-memory-computing applications. Microelectronics Journal. 153. 106420–106420. 1 indexed citations

Wang, Shiwei, et al.. (2024). L-Sort: An Efficient Hardware for Real-time Multi-channel Spike Sorting with Localization. 1–5. 1 indexed citations

Hou, Jie, et al.. (2024). Data‐driven Buck converter model identification method with missing outputs. IET Control Theory and Applications. 18(14). 1825–1835.

Wang, Chong, Li Wang, Chunxue Bai, et al.. (2024). Identification of the key factors influencing biodeterioration of open-air cultural heritage in the temperate climate zone of China. International Biodeterioration & Biodegradation. 196. 105954–105954. 2 indexed citations

Yadav, Deepika, et al.. (2024). Neuronal Multi Unit Activity Processing with Metal Oxide Memristive Devices. Advanced Electronic Materials. 10(12).

Fu, Rongrong, et al.. (2023). EEGNet-MSD: A Sparse Convolutional Neural Network for Efficient EEG-Based Intent Decoding. IEEE Sensors Journal. 23(17). 19684–19691. 16 indexed citations

Wang, Shiwei, et al.. (2023). Motor intent recognition of multi-feature fusion EEG signals by UMAP algorithm. Medical & Biological Engineering & Computing. 61(10). 2665–2676. 3 indexed citations

10.

Fu, Rongrong, et al.. (2023). Teleoperation Method For Controlling Robotic Arm Based On Multi-channel EMG Signals. 1264–1268.

11.

Papavassiliou, Christos, et al.. (2023). A Neural Recording System with 16 Reconfigurable Front-end Channels and Memristive Processing/Memory Unit. Edinburgh Research Explorer (University of Edinburgh). 10. 1–5. 3 indexed citations

12.

Fu, Rongrong, Zheyu Li, Shiwei Wang, et al.. (2023). EEG-based driver states discrimination by noise fraction analysis and novel clustering algorithm. Biomedizinische Technik/Biomedical Engineering. 68(4). 361–372. 2 indexed citations

13.

Wang, Shiwei, et al.. (2022). A 0.00426 mm2 77.6-dB Dynamic Range VCO-Based CTDSM for Multi-Channel Neural Recording. Electronics. 11(21). 3477–3477. 1 indexed citations

14.

Wang, Shiwei, Marco Ballini, Xiaolin Yang, et al.. (2021). A Compact Chopper Stabilized Δ-ΔΣ Neural Readout IC With Input Impedance Boosting. SHILAP Revista de lepidopterología. 1. 67–78. 21 indexed citations

15.

Wang, Shiwei, Carolina Mora López, Wim Sijbers, et al.. (2019). A Compact Quad-Shank CMOS Neural Probe With 5,120 Addressable Recording Sites and 384 Fully Differential Parallel Channels. IEEE Transactions on Biomedical Circuits and Systems. 13(6). 1625–1634. 52 indexed citations

16.

López, Carolina Mora, Shiwei Wang, Jan Putzeys, et al.. (2018). A 16384-electrode 1024-channel multimodal CMOS MEA for high-throughput intracellular action potential measurements and impedance spectroscopy in drug-screening applications. ePrints Soton (University of Southampton). 464–466. 27 indexed citations

17.

Qiu, Yi, Shiwei Wang, Zhi Chen, Yajie Guo, & Yuan Song. (2016). An Active Type I-E CRISPR-Cas System Identified in Streptomyces avermitilis. PLoS ONE. 11(2). e0149533–e0149533. 25 indexed citations

18.

Gu, Xiaosi, Xingchao Wang, Andreas Hula, et al.. (2015). Necessary, Yet Dissociable Contributions of the Insular and Ventromedial Prefrontal Cortices to Norm Adaptation: Computational and Lesion Evidence in Humans. Journal of Neuroscience. 35(2). 467–473. 66 indexed citations

19.

Yang, Chen, Fei Liu, Bing Yang, et al.. (2012). Specific amino acids affecting Drosophila melanogaster prophenoloxidase activity in vitro. Developmental & Comparative Immunology. 38(1). 88–97. 22 indexed citations

20.

Tian, Nan, Fei Wang, Derun Tian, et al.. (2006). Electroacupuncture suppresses expression of gastric ghrelin and hypothalamic NPY in chronic food restricted rats. Peptides. 27(9). 2313–2320. 35 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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