Ke Peng

731 total citations
33 papers, 504 citations indexed

About

Ke Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Ke Peng has authored 33 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Cognitive Neuroscience and 9 papers in Biomedical Engineering. Recurrent topics in Ke Peng's work include Optical Imaging and Spectroscopy Techniques (20 papers), EEG and Brain-Computer Interfaces (9 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Ke Peng is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (20 papers), EEG and Brain-Computer Interfaces (9 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Ke Peng collaborates with scholars based in Canada, United States and Mexico. Ke Peng's co-authors include David Borsook, Lino Becerra, Frédéric Lesage, Dang Khoa Nguyen, Philippe Pouliot, Meryem A. Yücel, David A. Boas, Christopher M. Aasted, Robert F. Labadie and Roberto Rosas-Romero and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Ke Peng

31 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Peng Canada 12 217 197 100 86 76 33 504
Agatha P. Colbert United States 20 165 0.8× 163 0.8× 90 0.9× 55 0.6× 120 1.6× 37 1.0k
Derek B. Archer United States 18 448 2.1× 293 1.5× 50 0.5× 57 0.7× 35 0.5× 52 1.0k
Matthias Kohl‐Bareis Germany 17 559 2.6× 229 1.2× 264 2.6× 142 1.7× 20 0.3× 58 995
Sonia M. Brodie Canada 9 86 0.4× 222 1.1× 100 1.0× 44 0.5× 20 0.3× 18 521
Isamu Ozaki Japan 18 103 0.5× 515 2.6× 84 0.8× 30 0.3× 23 0.3× 60 892
Andrea S. Lowe United Kingdom 14 204 0.9× 113 0.6× 81 0.8× 25 0.3× 123 1.6× 28 607
Sunil Wimalaratna United Kingdom 11 149 0.7× 525 2.7× 116 1.2× 44 0.5× 11 0.1× 27 1.0k
Jukka Jauhiainen Finland 10 345 1.6× 589 3.0× 45 0.5× 25 0.3× 47 0.6× 14 775
Congcong Huo China 15 316 1.5× 263 1.3× 168 1.7× 152 1.8× 16 0.2× 36 596
Wutao Lou China 13 124 0.6× 233 1.2× 56 0.6× 33 0.4× 8 0.1× 32 595

Countries citing papers authored by Ke Peng

Since Specialization
Citations

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

Fields of papers citing papers by Ke Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Peng. A scholar is included among the top collaborators of Ke Peng 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 Ke Peng. Ke Peng 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.
Peng, Ke, et al.. (2024). Machines, mathematics, and modules: the potential to provide real-time metrics for pain under anesthesia. Neurophotonics. 11(1). 10701–10701. 2 indexed citations
2.
Peng, Ke, et al.. (2024). iVR-fNIRS: studying brain functions in a fully immersive virtual environment. Neurophotonics. 11(2). 20601–20601. 9 indexed citations
3.
Peng, Ke, Stephen Green, Christine B. Sieberg, et al.. (2023). Can pain under anesthesia be measured? Pain-related brain function using functional near-infrared spectroscopy during knee surgery. Neurophotonics. 10(2). 25014–25014. 3 indexed citations
4.
Kussman, Barry D., Ke Peng, Lino Becerra, et al.. (2022). Brain-based measures of nociception during general anesthesia with remifentanil: A randomized controlled trial. PLoS Medicine. 19(4). e1003965–e1003965. 11 indexed citations
5.
Green, Stephen, et al.. (2022). Measuring “pain load” during general anesthesia. Cerebral Cortex Communications. 3(2). tgac019–tgac019. 3 indexed citations
6.
Peng, Ke, et al.. (2021). Suppressed prefrontal cortex oscillations associate with clinical pain in fibrodysplasia ossificans progressiva. Orphanet Journal of Rare Diseases. 16(1). 54–54. 9 indexed citations
7.
Peng, Ke, et al.. (2021). Fault Calculation Method of Distribution Network Based on Deep Learning. Symmetry. 13(6). 1086–1086. 5 indexed citations
8.
Damseh, Rafat, et al.. (2021). Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals. Neuroinformatics. 20(3). 537–558. 22 indexed citations
9.
Peng, Ke, et al.. (2021). Cortical thinning is associated with brain pulsatility in older adults: An MRI and NIRS study. Neurobiology of Aging. 106. 103–118. 8 indexed citations
10.
Vincent, Thomas, Ke Peng, Anil Nigam, et al.. (2021). Coronary artery disease and its impact on the pulsatile brain: A functional NIRS study. Human Brain Mapping. 42(12). 3760–3776. 5 indexed citations
11.
Toffa, Dènahin Hinnoutondji, et al.. (2021). Hemodynamic changes associated with common EEG patterns in critically ill patients: Pilot results from continuous EEG-fNIRS study. NeuroImage Clinical. 32. 102880–102880. 6 indexed citations
12.
Peng, Ke, et al.. (2020). NIRS measures in pain and analgesia: Fundamentals, features, and function. Neuroscience & Biobehavioral Reviews. 120. 335–353. 42 indexed citations
13.
Rosas-Romero, Roberto, Edgar Guevara, Ke Peng, et al.. (2019). Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals. Computers in Biology and Medicine. 111. 103355–103355. 47 indexed citations
14.
Guevara, Edgar, Ke Peng, Dang Khoa Nguyen, et al.. (2019). Prediction of epileptic seizures using fNIRS and machine learning. Journal of Intelligent & Fuzzy Systems. 38(2). 2055–2068. 8 indexed citations
15.
Peng, Ke, Meryem A. Yücel, Edward A. Bittner, et al.. (2018). Morphine Attenuates fNIRS Signal Associated With Painful Stimuli in the Medial Frontopolar Cortex (medial BA 10). Frontiers in Human Neuroscience. 12. 394–394. 26 indexed citations
16.
Peng, Ke, et al.. (2017). Brodmann area 10: Collating, integrating and high level processing of nociception and pain. Progress in Neurobiology. 161. 1–22. 96 indexed citations
17.
Aasted, Christopher M., Meryem A. Yücel, Ke Peng, et al.. (2016). Frontal Lobe Hemodynamic Responses to Painful Stimulation: A Potential Brain Marker of Nociception. PLoS ONE. 11(11). e0165226–e0165226. 41 indexed citations
18.
Peng, Ke, Dang Khoa Nguyen, Phetsamone Vannasing, et al.. (2015). Using patient-specific hemodynamic response function in epileptic spike analysis of human epilepsy: a study based on EEG–fNIRS. NeuroImage. 126. 239–255. 18 indexed citations
19.
Peng, Ke, Dang Khoa Nguyen, Phetsamone Vannasing, et al.. (2014). fNIRS-EEG study of focal interictal epileptiform discharges. Epilepsy Research. 108(3). 491–505. 34 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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