Peng Cong

754 citations
25 papers · 579 · h-index 10

Impact in

    • Neuroscience and Neural Engineering
  • Neurology top 5%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Transcranial Magnetic Stimulation Studies

Papers in

Peng Cong

21 papers receiving 566 citations

Peers

Peng Cong
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 339
  • Neurology 252
  • Cognitive Neuroscience 219
  • Neurology 50
  • Biomedical Engineering 126
Replace Stephen M. Ronayne with:
Stephen M. Ronayne Australia
David M. Himes Australia
Longjiang Zhou China
Florian Grimm Germany
David J. Guggenmos United States
Yue-Loong Hsin Taiwan
Yalda Shahriari United States
Rosa Q. So Singapore
Patricia Linortner Austria
Naresh C. Bhavaraju United States
Peng Cong relative to Stephen M. Ronayne Australia Stephen M. Ronayne's profile →
Citations per field
00.5×1.5×2×2.3×
Stephen M. Ronayne · 1×
Citations per year

Countries citing papers authored by Peng Cong

Since Specialization
Citations

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

Fields of papers citing papers by Peng Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012263
2 2013118
3 201832
4 201421
5 201818
6 201017
7 201914
8 201012
9 200912
10 201711
11 201310
12 201910
13 201610
14 20218
15 20117
16 20115
17 20115
18 20232
19 20192
20 20251

About Peng Cong

Peng Cong is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 579 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (12 papers), EEG and Brain-Computer Interfaces (7 papers), Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (5 papers), Advanced Image Processing Techniques (4 papers), Neurological disorders and treatments (4 papers), Image and Signal Denoising Methods (3 papers) and Motor Control and Adaptation (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (339 citations), Neurology (252 citations), Cognitive Neuroscience (219 citations), Neurology (50 citations) and Biomedical Engineering (126 citations). Peng Cong has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Timothy Denison, Scott R. Stanslaski, Pedram Afshar, Paul H. Stypulkowski, Al-Thaddeus Avestruz, Randy M. Jensen, Maciej T. Lazarewicz, Ankit N. Khambhati, David Carlson and Litao Li. Their work appears in journals such as Journal of X-Ray Science and Technology, IEEE Transactions on Haptics, Applied Sciences, IEEE Transactions on Nuclear Science and Frontiers in Neural 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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