Guoxing Wang

5.2k citations
255 papers · 3.6k · h-index 32

Impact in

Papers in

Guoxing Wang

226 papers receiving 3.5k citations

Peers

Guoxing Wang
Comparison fields: 5 of 165
  • Biomedical Engineering 1.4k
  • Cellular and Molecular Neuroscience 549
  • Electrical and Electronic Engineering 1.7k
  • Cardiology and Cardiovascular Medicine 573
  • Cognitive Neuroscience 440
Replace Jari Hyttinen with:
Jari Hyttinen Finland
Zhihua Wang China
Bor‐Shyh Lin Taiwan
Mehmet Rasit Yuce Australia
Radek Martínek Czechia
Mohanasankar Sivaprakasam India
R. Pallás-Areny Spain
Ravi Vaidyanathan United Kingdom
Sawal Hamid Md Ali Malaysia
Guoxing Wang relative to Jari Hyttinen Finland Jari Hyttinen's profile →
Citations per field
00.5×3.3×
Jari Hyttinen · 1×
Citations per year

Countries citing papers authored by Guoxing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guoxing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guoxing Wang, 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 Guoxing Wang Line = papers co-authored together Guoxing Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005340
2 2005164
3 2021124
4 2011102
5 201899
6 201985
7 200682
8 201980
9 201178
10 201870
11 201964
12 202264
13 202057
14 200553
15 201852
16 202149
17 201649
18 200548
19 200341
20 201938

About Guoxing Wang

Guoxing Wang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 255 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (55 papers), Analog and Mixed-Signal Circuit Design (45 papers), ECG Monitoring and Analysis (41 papers), Non-Invasive Vital Sign Monitoring (38 papers), Advanced Memory and Neural Computing (36 papers), EEG and Brain-Computer Interfaces (32 papers), Wireless Power Transfer Systems (30 papers) and Energy Harvesting in Wireless Networks (26 papers). The work is most often cited by research in Biomedical Engineering (1.4k citations), Cellular and Molecular Neuroscience (549 citations), Electrical and Electronic Engineering (1.7k citations), Cardiology and Cardiovascular Medicine (573 citations) and Cognitive Neuroscience (440 citations). Guoxing Wang has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Mohanasankar Sivaprakasam, Yong Lian, Wentai Liu, Mohamed Atef, Yongfu Li, James D. Weiland, Mark S. Humayun, Qingsong Xie, Mingyi Chen and Rizwan Bashirullah. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Circuits and Systems I Regular Papers, Science China Information Sciences and IEEE Journal of Solid-State Circuits.

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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