Setha Pan-ngum

1.4k total citations · 1 hit paper
30 papers, 945 citations indexed

About

Setha Pan-ngum is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Setha Pan-ngum has authored 30 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Setha Pan-ngum's work include EEG and Brain-Computer Interfaces (14 papers), Gaze Tracking and Assistive Technology (5 papers) and Neuroscience and Neural Engineering (5 papers). Setha Pan-ngum is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Gaze Tracking and Assistive Technology (5 papers) and Neuroscience and Neural Engineering (5 papers). Setha Pan-ngum collaborates with scholars based in Thailand, Germany and United Kingdom. Setha Pan-ngum's co-authors include Pasin Israsena, Suwicha Jirayucharoensak, Michaël Maes, Wasan Pattara-Atikom, Solaphat Hemrungrojn, Gridsada Phanomchoeng, Panita Pongpaibool, Boris Lohmann, Sarin Suwanpakdee and Weerapong Thanapongtharm and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Setha Pan-ngum

30 papers receiving 912 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation

2014 339 citations Suwicha Jirayucharoensak, Setha Pan-ngum et al. The Scientific World JOURNAL profile →

Peers

Setha Pan-ngum

CN

ECP

SP

CCM

HI

Pasin Israsena Thailand

Zijing Mao United States

Yajing Si China

Chi‐Hong Wang Taiwan

Cunbo Li China

Li-Chen Shi China

Sarah Laszlo United States

Brent J. Lance United States

Kaare B. Mikkelsen Denmark

Lin Shu China

Pasin Israsena Thailand

Setha Pan-ngum

777 ×1.1

CN

426 ×1.0

ECP

154 ×1.1

SP

152 ×1.1

CCM

108 ×1.0

HI

Citations per year, relative to Setha Pan-ngum Setha Pan-ngum (= 1×) peers Pasin Israsena

Countries citing papers authored by Setha Pan-ngum

Since Specialization

Citations

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

Fields of papers citing papers by Setha Pan-ngum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Setha Pan-ngum. 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 Setha Pan-ngum. The network helps show where Setha Pan-ngum may publish in the future.

Co-authorship network of co-authors of Setha Pan-ngum

This figure shows the co-authorship network connecting the top 25 collaborators of Setha Pan-ngum. A scholar is included among the top collaborators of Setha Pan-ngum 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 Setha Pan-ngum. Setha Pan-ngum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Pan-ngum, Setha, et al.. (2024). Analysis of Minimal Channel Electroencephalography for Wearable Brain–Computer Interface. Electronics. 13(3). 565–565. 3 indexed citations

2.

Wiratsudakul, Anuwat, Sarin Suwanpakdee, Charin Modchang, et al.. (2024). Study of dog population dynamics and rabies awareness in Thailand using a school-based participatory research approach. Scientific Reports. 14(1). 20477–20477. 2 indexed citations

3.

Israsena, Pasin & Setha Pan-ngum. (2022). A CNN-Based Deep Learning Approach for SSVEP Detection Targeting Binaural Ear-EEG. Frontiers in Computational Neuroscience. 16. 868642–868642. 8 indexed citations

4.

Israsena, Pasin, et al.. (2022). Automatic Speech Discrimination Assessment Methods Based on Event-Related Potentials (ERP). Sensors. 22(7). 2702–2702. 1 indexed citations

5.

Israsena, Pasin, et al.. (2021). Brain Exercising Games With Consumer-Grade Single-Channel Electroencephalogram Neurofeedback: Pre-Post Intervention Study. JMIR Serious Games. 9(2). e26872–e26872. 17 indexed citations

6.

Jirayucharoensak, Suwicha, et al.. (2019). A game-based neurofeedback training system to enhance cognitive performance in healthy elderly subjects and in patients with amnestic mild cognitive impairment. SHILAP Revista de lepidopterología. 2 indexed citations

7.

Jirayucharoensak, Suwicha, et al.. (2019). <p>A game-based neurofeedback training system to enhance cognitive performance in healthy elderly subjects and in patients with amnestic mild cognitive impairment</p>. Clinical Interventions in Aging. Volume 14. 347–360. 77 indexed citations

8.

Pan-ngum, Setha, et al.. (2019). A Wearable In-Ear EEG Device for Emotion Monitoring. Sensors. 19(18). 4014–4014. 76 indexed citations

9.

Phanomchoeng, Gridsada, et al.. (2019). Vehicle rollover detection using recurrent neural networks. mediaTUM (Technical University of Munich). 59–64. 3 indexed citations

10.

Pan-ngum, Setha, et al.. (2018). Comparison of EEG measurement of upper limb movement in motor imagery training system. BioMedical Engineering OnLine. 17(1). 103–103. 30 indexed citations

11.

Jirayucharoensak, Suwicha, Pasin Israsena, Setha Pan-ngum, & Solaphat Hemrungrojn. (2014). A Game-based Neurofeedback Training System For Cognitive Rehabilitation in the Elderly. 2 indexed citations

12.

Pan-ngum, Setha, et al.. (2013). Real‐Time EEG‐Based Happiness Detection System. The Scientific World JOURNAL. 2013(1). 618649–618649. 174 indexed citations

13.

Pan-ngum, Setha, et al.. (2013). Development of a Low Cost Assistive Listening System for Hearing‐Impaired Student Classroom. The Scientific World JOURNAL. 2013(1). 787656–787656. 5 indexed citations

14.

Pan-ngum, Setha, et al.. (2013). Emotion classification using minimal EEG channels and frequency bands. 21–24. 103 indexed citations

15.

Jirayucharoensak, Suwicha, Pasin Israsena, Setha Pan-ngum, & Solaphat Hemrungrojn. (2013). Online EEG artifact suppression for neurofeedback training systems. 48. 1–5. 4 indexed citations

16.

Pan-ngum, Setha, et al.. (2012). Brain signal detection methodology for attention training using minimal EEG channels. 84–89. 26 indexed citations

17.

Pan-ngum, Setha, et al.. (2011). A Novel Approach of Dynamic Time Warping for Short-Term Traffic Congestion Prediction. Transportation Research Board 90th Annual MeetingTransportation Research Board. 3 indexed citations

18.

Pan-ngum, Setha, et al.. (2010). A Novel Approach of Dynamic Time Warping for Traffic Congestion Detection and Short-Term Prediction. 3 indexed citations

19.

Israsena, Pasin, et al.. (2008). A study of low-cost, robust Assistive Listening System (ALS) based on digital wireless technology. Disability and Rehabilitation Assistive Technology. 3(6). 295–301. 11 indexed citations

20.

Pan-ngum, Setha, et al.. (2008). Development of the inner city following-lane changing model and meandering model of motorcycles. 5. 488–493. 1 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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