Peng Cong

988 citations
30 papers · 698 indexed · h-index 12
Topics
Neuroscience and Neural Engineering (15 papers)EEG and Brain-Computer Interfaces (9 papers)Motor Control and Adaptation (6 papers)

In The Last Decade

Peng Cong

27 papers receiving 683 citations

Peers

Peng Cong
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 477
  • Neurology 336
  • Cognitive Neuroscience 310
  • Biomedical Engineering 154
  • Electrical and Electronic Engineering 106
Replace Nicholas L. Opie with:
Nicholas L. Opie Australia
Scott Stanslaski United States
Sam E. John Australia
Zachary T. Irwin United States
Sheng-Huang Lin Taiwan
David J. Guggenmos United States
Joline M. Fan United States
Alicia L. Jensen United States
Friederike U. Hohlefeld Germany
Tetsuo Ota Japan
Peng Cong relative to Nicholas L. Opie Australia Nicholas L. Opie's profile →
Citations per field
00.5×3.3×
Nicholas L. Opie · 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-authorship network of co-authors of Peng Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Cong. A scholar is included among the top collaborators of Peng Cong 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 Peng Cong. Peng Cong 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
#WorkIndexed citations
1 0
2 1
3 12
4 9
5 28
6 9
7 10
8 2
9 11
10 21
11 105
12 230
13 117
14 3
15 1
16 12
17 40
18 10
19
Evolution for 60 Co container CT image reconstruction based on SSE
0
20 12

About Peng Cong

Peng Cong is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering, having authored 30 papers that have together received 698 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), EEG and Brain-Computer Interfaces (9 papers) and Motor Control and Adaptation (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (477 citations), Neurology (336 citations) and Cognitive Neuroscience (310 citations). Peng Cong has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Timothy Denison, Scott Stanslaski, Paul H. Stypulkowski, Pedram Afshar, Randy Jensen, Al-Thaddeus Avestruz, David Carlson, Adam G. Rouse, Daniel W. Moran and Gregory F. Molnar. Their work appears in journals such as IEEE Access, Sensors 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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