Dai Jiang

1.4k total citations
116 papers, 1.0k citations indexed

About

Dai Jiang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dai Jiang has authored 116 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Electrical and Electronic Engineering, 51 papers in Biomedical Engineering and 49 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dai Jiang's work include Neuroscience and Neural Engineering (48 papers), Electrical and Bioimpedance Tomography (25 papers) and EEG and Brain-Computer Interfaces (25 papers). Dai Jiang is often cited by papers focused on Neuroscience and Neural Engineering (48 papers), Electrical and Bioimpedance Tomography (25 papers) and EEG and Brain-Computer Interfaces (25 papers). Dai Jiang collaborates with scholars based in United Kingdom, China and Italy. Dai Jiang's co-authors include Andreas Demosthenous, Yu Wu, Richard Bayford, Nick Donaldson, Andy Bardill, Xiao Liu, Paul V. Brennan, Xiao Liu, P.M. Radmore and Anne Vanhoestenberghe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Energy and IEEE Transactions on Signal Processing.

In The Last Decade

Dai Jiang

103 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dai Jiang United Kingdom 17 627 543 307 212 77 116 1.0k
Sio Hang Pun Macao 15 354 0.6× 708 1.3× 201 0.7× 258 1.2× 63 0.8× 139 1.1k
Pedram Mohseni United States 27 1.2k 1.8× 1.1k 2.0× 1.1k 3.5× 580 2.7× 27 0.4× 142 2.3k
David A. Borkholder United States 22 381 0.6× 952 1.8× 495 1.6× 222 1.0× 11 0.1× 69 1.6k
Wensheng Hou China 17 184 0.3× 396 0.7× 155 0.5× 184 0.9× 10 0.1× 88 952
Jiawei Xu China 21 791 1.3× 1.0k 1.9× 540 1.8× 383 1.8× 18 0.2× 112 1.6k
Ji-Hun Lee South Korea 15 436 0.7× 309 0.6× 301 1.0× 163 0.8× 12 0.2× 77 819
Xizi Song China 13 192 0.3× 209 0.4× 205 0.7× 175 0.8× 89 1.2× 57 580
Luca Massari Italy 14 502 0.8× 757 1.4× 44 0.1× 261 1.2× 25 0.3× 27 1.1k
Srinjoy Mitra United Kingdom 21 1.0k 1.6× 715 1.3× 945 3.1× 713 3.4× 10 0.1× 85 1.7k
Adnan Elahi Ireland 22 338 0.5× 944 1.7× 44 0.1× 63 0.3× 255 3.3× 90 1.4k

Countries citing papers authored by Dai Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Dai Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Jiang. A scholar is included among the top collaborators of Dai Jiang 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 Dai Jiang. Dai Jiang 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.
Wu, Yu, et al.. (2025). Forearm Motion and Hand Grasp Prediction Based on Target Muscle Bioimpedance for Human–Machine Interaction. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 760–769.
2.
Jiang, Dai, et al.. (2024). Active Neural Interface Circuits and Systems for Selective Control of Peripheral Nerves: A Review. IEEE Transactions on Biomedical Circuits and Systems. 18(5). 954–975. 2 indexed citations
3.
Jiang, Dai, et al.. (2024). A High-Voltage Differential SPDT T/R Switch for Ultrasound Systems. IEEE Transactions on Circuits and Systems I Regular Papers. 71(11). 5129–5140.
4.
Zhang, Jiaxing, Marc Fournelle, Mohamad Rahal, et al.. (2024). Live Demonstration: A Wearable Eight-Channel A-Mode Ultrasound System for Hand Gesture Recognition and Interactive Gaming. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–1. 1 indexed citations
5.
Jiang, Dai, et al.. (2024). A 1.76 mW, 355-fps, Electrical Impedance Tomography System With a Simple Time-to-Digital Impedance Readout for Fast Neonatal Lung Imaging. IEEE Journal of Solid-State Circuits. 60(2). 603–614. 1 indexed citations
6.
Li, Huilin, et al.. (2023). Effects of artificial geopolymer sand as an alternative to natural sand on dynamic mechanical properties of cement mortar. Construction and Building Materials. 394. 132181–132181. 7 indexed citations
7.
Jiang, Dai, et al.. (2023). High Efficiency Power Management Unit for Implantable Optical-Electrical Stimulators. SHILAP Revista de lepidopterología. 4. 3–14. 3 indexed citations
8.
Wu, Yu, et al.. (2022). A Fully Implantable Opto-Electro Closed-Loop Neural Interface for Motor Neuron Disease Studies. IEEE Transactions on Biomedical Circuits and Systems. 16(5). 752–765. 10 indexed citations
9.
Wu, Yu, et al.. (2021). Electrical Impedance Tomography for Biomedical Applications: Circuits and Systems Review. SHILAP Revista de lepidopterología. 2. 380–397. 59 indexed citations
10.
Wu, Yu, Dai Jiang, Rebecca Yerworth, & Andreas Demosthenous. (2021). An Imaged Based Method for Universal Performance Evaluation of Electrical Impedance Tomography Systems. IEEE Transactions on Biomedical Circuits and Systems. 15(3). 464–473. 14 indexed citations
11.
Vanhoestenberghe, Anne, et al.. (2021). Charge Balancing Strategies: Electronics Design Impact on Safety and Electrode Stability. UCL Discovery (University College London). 1 indexed citations
12.
Wu, Yu, et al.. (2021). A Goertzel Filter-Based System for Fast Simultaneous Multi-Frequency EIS. IEEE Transactions on Circuits & Systems II Express Briefs. 68(9). 3133–3137. 13 indexed citations
13.
Besenhard, Maximilian O., Dai Jiang, Quentin A. Pankhurst, et al.. (2021). Development of an in-line magnetometer for flow chemistry and its demonstration for magnetic nanoparticle synthesis. Lab on a Chip. 21(19). 3775–3783. 11 indexed citations
14.
Sokolić, Jure, et al.. (2020). Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning. IEEE Transactions on Biomedical Circuits and Systems. 14(2). 221–231. 18 indexed citations
15.
Jiang, Dai, et al.. (2019). Short-Range Quality-Factor Modulation (SQuirM) for Low Power High Speed Inductive Data Transfer. IEEE Transactions on Circuits and Systems I Regular Papers. 66(9). 3254–3265. 10 indexed citations
16.
Wu, Yu, Dai Jiang, Andy Bardill, Richard Bayford, & Andreas Demosthenous. (2019). A 122 fps, 1 MHz Bandwidth Multi-Frequency Wearable EIT Belt Featuring Novel Active Electrode Architecture for Neonatal Thorax Vital Sign Monitoring. IEEE Transactions on Biomedical Circuits and Systems. 13(5). 927–937. 61 indexed citations
17.
Wu, Yu, et al.. (2018). Towards a High Accuracy Wearable Hand Gesture Recognition System Using EIT. 1–4. 27 indexed citations
18.
Wu, Yu, et al.. (2018). A High Frame Rate Wearable EIT System Using Active Electrode ASICs for Lung Respiration and Heart Rate Monitoring. IEEE Transactions on Circuits and Systems I Regular Papers. 65(11). 3810–3820. 71 indexed citations
19.
Jiang, Dai, et al.. (2018). An Adaptive Neural Spike Processor With Embedded Active Learning for Improved Unsupervised Sorting Accuracy. IEEE Transactions on Biomedical Circuits and Systems. 12(3). 665–676. 33 indexed citations
20.
Jiang, Dai & Andreas Demosthenous. (2018). A Multichannel High-Frequency Power-Isolated Neural Stimulator With Crosstalk Reduction. IEEE Transactions on Biomedical Circuits and Systems. 12(4). 940–953. 24 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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