Dai Jiang

1.4k citations
118 papers · 1.1k · h-index 16

Impact in

Papers in

    • Electrical and Bioimpedance Tomography 27
    • Advanced Memory and Neural Computing 18
    • Wireless Power Transfer Systems 16
    • Advancements in PLL and VCO Technologies 12
    • Muscle activation and electromyography studies 18
    • Analog and Mixed-Signal Circuit Design 14

Dai Jiang

106 papers receiving 1.0k citations

Peers

Dai Jiang
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 318
  • Biomedical Engineering 560
  • Electrical and Electronic Engineering 665
  • Cognitive Neuroscience 213
  • Human-Computer Interaction 45
Replace Sio Hang Pun with:
Sio Hang Pun Macao
Ji-Hun Lee South Korea
Yaoyao Jia United States
Kian Ann Ng Singapore
Marco Crepaldi Italy
Srinjoy Mitra United Kingdom
Jiawei Xu China
P. M. Mendes Portugal
Xiaoyang Kang China
Luca Massari Italy
Dai Jiang relative to Sio Hang Pun Macao Sio Hang Pun's profile →
Citations per field
00.5×1.5×1.8×
Sio Hang Pun · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dai Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dai Jiang Line = papers co-authored together Dai Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201875
2 201872
3 201670
4 201967
5 202163
6 202061
7 201145
8 202434
9 201833
10 201228
11 201827
12 201826
13 201326
14 202018
15 202018
16 200816
17 202115
18 201415
19 201215
20 201715

About Dai Jiang

Dai Jiang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 118 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (47 papers), Electrical and Bioimpedance Tomography (27 papers), EEG and Brain-Computer Interfaces (24 papers), Advanced Memory and Neural Computing (18 papers), Muscle activation and electromyography studies (18 papers), Wireless Power Transfer Systems (16 papers), Analog and Mixed-Signal Circuit Design (14 papers) and Advancements in PLL and VCO Technologies (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (318 citations), Biomedical Engineering (560 citations), Electrical and Electronic Engineering (665 citations), Cognitive Neuroscience (213 citations) and Human-Computer Interaction (45 citations). Dai Jiang has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Andreas Demosthenous, Yu Wu, Richard Bayford, Nick Donaldson, Andy Bardill, Timothy A. Perkins, Xiao Liu, Paul V. Brennan, Xiao Liu and Wenhui Song. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Journal of Solid-State Circuits and eLife.

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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