Jaehun Bang

1.4k total citations · 1 hit paper
30 papers, 1.0k citations indexed

About

Jaehun Bang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Jaehun Bang has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Jaehun Bang's work include Context-Aware Activity Recognition Systems (8 papers), Emotion and Mood Recognition (7 papers) and IoT and Edge/Fog Computing (4 papers). Jaehun Bang is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Emotion and Mood Recognition (7 papers) and IoT and Edge/Fog Computing (4 papers). Jaehun Bang collaborates with scholars based in South Korea, Australia and Pakistan. Jaehun Bang's co-authors include Sungyoung Lee, Taeho Hur, Sungyoung Lee, Thien Huynh‐The, Oresti Baños, Wajahat Ali Khan, Muhammad Bilal Amin, Cam-Hao Hua, Muhammad Asif Razzaq and Claudia Villalonga and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Jaehun Bang

28 papers receiving 1.0k citations

Hit Papers

Human Behavior Analysis b... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaehun Bang South Korea 16 317 217 143 138 133 30 1.0k
Minghao Yang China 22 303 1.0× 265 1.2× 161 1.1× 79 0.6× 247 1.9× 118 1.5k
Amr Elchouemi United States 13 248 0.8× 234 1.1× 66 0.5× 125 0.9× 98 0.7× 80 935
Gyanendra K. Verma India 14 482 1.5× 399 1.8× 138 1.0× 133 1.0× 54 0.4× 37 1.6k
Kia Dashtipour United Kingdom 22 309 1.0× 662 3.1× 104 0.7× 130 0.9× 62 0.5× 68 1.5k
Anikó Ekárt United Kingdom 16 175 0.6× 313 1.4× 55 0.4× 144 1.0× 41 0.3× 71 1.2k
Christian Ritz Australia 18 242 0.8× 154 0.7× 182 1.3× 144 1.0× 71 0.5× 140 1.2k
AKM Azad Australia 19 272 0.9× 364 1.7× 192 1.3× 122 0.9× 198 1.5× 86 1.4k
Wasiq Khan United Kingdom 19 206 0.6× 195 0.9× 76 0.5× 104 0.8× 86 0.6× 81 1.0k
Yingjie Chen China 19 671 2.1× 258 1.2× 149 1.0× 135 1.0× 72 0.5× 142 1.5k
Md. Rabiul Islam Bangladesh 16 217 0.7× 259 1.2× 132 0.9× 155 1.1× 37 0.3× 47 1.2k

Countries citing papers authored by Jaehun Bang

Since Specialization
Citations

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

Fields of papers citing papers by Jaehun Bang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaehun Bang

This figure shows the co-authorship network connecting the top 25 collaborators of Jaehun Bang. A scholar is included among the top collaborators of Jaehun Bang 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 Jaehun Bang. Jaehun Bang 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.
Oh, B., Juhee Kim, Jaehun Bang, et al.. (2025). SimpleViz: A user-friendly, web-based tool for publication-ready data visualization in bioinformatics. Molecules and Cells. 48(7). 100222–100222.
2.
Razzaq, Muhammad Asif, Jamil Hussain, Jaehun Bang, et al.. (2023). A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions. Sensors. 23(9). 4373–4373. 15 indexed citations
3.
4.
Afzal, Muhammad, Maqbool Hussain, Jamil Hussain, Jaehun Bang, & Sungyoung Lee. (2021). COVID-19 Knowledge Resource Categorization and Tracking: Conceptual Framework Study. Journal of Medical Internet Research. 23(6). e29730–e29730. 1 indexed citations
5.
Sant’Anna, Anita, et al.. (2020). A cache-based method to improve query performance of linked Open Data cloud. Computing. 102(7). 1743–1763. 2 indexed citations
6.
Al–antari, Mugahed A., Cam-Hao Hua, Jaehun Bang, & Sungyoung Lee. (2020). “Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”. Applied Intelligence. 51(5). 2890–2907. 89 indexed citations
7.
Hussain, Jamil, et al.. (2020). The mHealth Applications Usability Evaluation Review. 70–73. 6 indexed citations
8.
Razzaq, Muhammad Asif, et al.. (2020). UnSkEm: Unobtrusive Skeletal-based Emotion Recognition for User Experience. 92–96. 4 indexed citations
9.
Hussain, Shujaat, Maqbool Hussain, Muhammad Afzal, et al.. (2019). Semantic preservation of standardized healthcare documents in big data. International Journal of Medical Informatics. 129. 133–145. 9 indexed citations
10.
Hua, Cam-Hao, Thien Huynh‐The, Kiyoung Kim, et al.. (2019). Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification. International Journal of Medical Informatics. 132. 103926–103926. 42 indexed citations
11.
Ali, Maqbool, Taeho Hur, Jaehun Bang, et al.. (2018). uEFS: An efficient and comprehensive ensemble-based feature selection methodology to select informative features. PLoS ONE. 13(8). e0202705–e0202705. 17 indexed citations
12.
Hussain, Jamil, Wajahat Ali Khan, Taeho Hur, et al.. (2018). A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation. Sensors. 18(5). 1622–1622. 36 indexed citations
13.
Hussain, Jamil, Hafiz Syed Muhammad Bilal, Rahman Ali, et al.. (2018). Model-based adaptive user interface based on context and user experience evaluation. Journal on Multimodal User Interfaces. 12(1). 1–16. 91 indexed citations
14.
Huynh‐The, Thien, Cam-Hao Hua, Nguyen Anh Tu, et al.. (2017). Selective bit embedding scheme for robust blind color image watermarking. Information Sciences. 426. 1–18. 65 indexed citations
15.
Baños, Oresti, Claudia Villalonga, Jaehun Bang, et al.. (2016). Human Behavior Analysis by Means of Multimodal Context Mining. Sensors. 16(8). 1264–1264. 388 indexed citations breakdown →
16.
Bang, Jaehun & Sungyoung Lee. (2015). Adaptive Speech Emotion Recognition Framework Using Prompted Labeling Technique. KIISE Transactions on Computing Practices. 21(2). 160–165. 1 indexed citations
17.
Amin, Muhammad Bilal, Oresti Baños, Taqdir Ali, et al.. (2015). Mining minds: journey of evolutionary platform for ubiquitous wellness. eCite Digital Repository (University of Tasmania). 1 indexed citations
18.
Baños, Oresti, Jaehun Bang, Taeho Hur, et al.. (2015). Mining human behavior for health promotion. PubMed. 2015. 5062–5. 12 indexed citations
19.
Han, Manhyung, Jaehun Bang, Chris Nugent, Sally McClean, & Sungyoung Lee. (2014). A Lightweight Hierarchical Activity Recognition Framework Using Smartphone Sensors. Sensors. 14(9). 16181–16195. 31 indexed citations
20.
Hussain, Shujaat, Muhammad Bilal Amin, Jaehun Bang, et al.. (2013). Activity recognition and resource optimization in mobile cloud through MapReduce. UEA Digital Repository (University of East Anglia). 9. 471–475. 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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