Min Hane Aung

2.3k total citations
40 papers, 1.5k citations indexed

About

Min Hane Aung is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Applied Psychology. According to data from OpenAlex, Min Hane Aung has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 9 papers in Artificial Intelligence and 9 papers in Applied Psychology. Recurrent topics in Min Hane Aung's work include Digital Mental Health Interventions (8 papers), Emotion and Mood Recognition (7 papers) and Mental Health Research Topics (6 papers). Min Hane Aung is often cited by papers focused on Digital Mental Health Interventions (8 papers), Emotion and Mood Recognition (7 papers) and Mental Health Research Topics (6 papers). Min Hane Aung collaborates with scholars based in United Kingdom, United States and France. Min Hane Aung's co-authors include Tanzeem Choudhury, Mashfiqui Rabbi, Nadia Bianchi‐Berthouze, Mi Zhang, Gabriella M. Harari, Peter J. Rentfrow, Sandrine R. Müller, John Y. Goulermas, Emily A. Scherer and Rachel Brian and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Journal of Medical Internet Research.

In The Last Decade

Min Hane Aung

40 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Min Hane Aung 565 505 209 207 179 40 1.5k
Oscar Mayora 580 1.0× 582 1.2× 291 1.4× 112 0.5× 154 0.9× 87 1.8k
Afsaneh Doryab 498 0.9× 514 1.0× 270 1.3× 151 0.7× 132 0.7× 50 1.4k
Mashfiqui Rabbi 429 0.8× 644 1.3× 218 1.0× 134 0.6× 226 1.3× 31 1.7k
Sara Taylor 701 1.2× 393 0.8× 123 0.6× 380 1.8× 318 1.8× 34 1.7k
Mi Zhang 448 0.8× 629 1.2× 361 1.7× 110 0.5× 139 0.8× 68 2.4k
Saeed Abdullah 587 1.0× 727 1.4× 110 0.5× 260 1.3× 205 1.1× 72 1.6k
Sohrab Saeb 635 1.1× 636 1.3× 82 0.4× 123 0.6× 207 1.2× 19 1.2k
Akane Sano 1.5k 2.7× 620 1.2× 213 1.0× 358 1.7× 757 4.2× 80 2.7k
Javier Hernandez 553 1.0× 217 0.4× 240 1.1× 339 1.6× 399 2.2× 59 1.8k
Joyce H. D. M. Westerink 539 1.0× 278 0.6× 182 0.9× 478 2.3× 470 2.6× 80 1.7k

Countries citing papers authored by Min Hane Aung

Since Specialization
Citations

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

Fields of papers citing papers by Min Hane Aung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Hane Aung. 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 Min Hane Aung. The network helps show where Min Hane Aung may publish in the future.

Co-authorship network of co-authors of Min Hane Aung

This figure shows the co-authorship network connecting the top 25 collaborators of Min Hane Aung. A scholar is included among the top collaborators of Min Hane Aung 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 Min Hane Aung. Min Hane Aung 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.
Coughlan, Gillian, et al.. (2023). Vestibular contribution to path integration deficits in ‘at-genetic-risk’ for Alzheimer’s disease. PLoS ONE. 18(1). e0278239–e0278239. 6 indexed citations
2.
Aung, Min Hane, et al.. (2022). Using GPS Tracking to Investigate Outdoor Navigation Patterns in Patients With Alzheimer Disease: Cross-sectional Study. JMIR Aging. 5(2). e28222–e28222. 8 indexed citations
3.
Rabbi, Mashfiqui, Min Hane Aung, Geri Gay, M. Carrington Reid, & Tanzeem Choudhury. (2018). Feasibility and Acceptability of Mobile Phone–Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults. Journal of Medical Internet Research. 20(10). e10147–e10147. 42 indexed citations
4.
Ben‐Zeev, Dror, Rachel Brian, Rui Wang, et al.. (2017). CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse.. Psychiatric Rehabilitation Journal. 40(3). 266–275. 130 indexed citations
5.
Aung, Min Hane, Faisal Alquaddoomi, Cheng-Kang Hsieh, et al.. (2016). Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain. IEEE Journal of Selected Topics in Signal Processing. 10(5). 962–974. 31 indexed citations
6.
Tseng, Vincent W.-S., et al.. (2016). Assessing mental health issues on college campuses. UEA Digital Repository (University of East Anglia). 1200–1208. 14 indexed citations
7.
Aung, Min Hane, Sebastian Kaltwang, Bernardino Romera‐Paredes, et al.. (2015). The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset. IEEE Transactions on Affective Computing. 7(4). 435–451. 144 indexed citations
8.
Romera‐Paredes, Bernardino, Min Hane Aung, & Nadia Bianchi‐Berthouze. (2013). A One-Vs-One classifier ensemble with majority voting for activity recognition. UEA Digital Repository (University of East Anglia). 24 indexed citations
9.
Griffin, Harry J., Min Hane Aung, Bernardino Romera‐Paredes, et al.. (2013). Laughter Type Recognition from Whole Body Motion. Research Portal (Queen's University Belfast). 349–355. 29 indexed citations
10.
Aung, Min Hane. (2013). Automatic Recognition of Protective Behaviour in Chronic Pain Rehabilitation. UCL Discovery (University College London). 2 indexed citations
11.
Cella, Matteo, Min Hane Aung, Heng Meng, et al.. (2012). Identifying Pain Behaviour for Automatic Recognition.. UCL Discovery (University College London). 3 indexed citations
12.
Lisböa, Paulo, Terence A. Etchells, Ian H. Jarman, et al.. (2009). Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Transactions on Neural Networks. 20(9). 1403–1416. 31 indexed citations
13.
Mu, Tingting, Todd C. Pataky, Andrew H. Findlow, Min Hane Aung, & John Y. Goulermas. (2009). Automated Nonlinear Feature Generation and Classification of Foot Pressure Lesions. IEEE Transactions on Information Technology in Biomedicine. 14(2). 418–424. 11 indexed citations
14.
Aung, Min Hane, John Y. Goulermas, Shaheen Hamdy, & M. Power. (2009). Spatiotemporal Visualizations for the Measurement of Oropharyngeal Transit Time From Videofluoroscopy. IEEE Transactions on Biomedical Engineering. 57(2). 432–441. 17 indexed citations
15.
Lisböa, Paulo, Terence A. Etchells, Ian H. Jarman, et al.. (2008). Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. Neural Networks. 21(2-3). 414–426. 14 indexed citations
16.
Etchells, Terence A., Ian H. Jarman, Min Hane Aung, et al.. (2007). Development of a Rule Based Prognostic Tool for HER 2 Positive Breast Cancer Patients. Conference proceedings. 2007. 5416–5419. 2 indexed citations
17.
Bonnevay, Stéphane, Paulo Lisböa, Min Hane Aung, et al.. (2007). Breast Cancer Predictions by Neural Networks Analysis: a Comparison with Logistic Regression. Conference proceedings. 20. 5424–5427. 10 indexed citations
18.
Eleuteri, Antonio, Min Hane Aung, Azzam Taktak, Bertil Damato, & Paulo Lisböa. (2007). Continuous and Discrete Time Survival Analysis: Neural Network Approaches. Conference proceedings. 2007. 5420–5423. 14 indexed citations
19.
Taktak, Azzam, Laura Antolini, Min Hane Aung, et al.. (2006). Double-blind evaluation and benchmarking of survival models in a multi-centre study. Computers in Biology and Medicine. 37(8). 1108–1120. 13 indexed citations
20.
Arsene, Corneliu, Paulo Lisböa, Patrizia Boracchi, Elia Biganzoli, & Min Hane Aung. (2006). A Bayesian neural network for competing risks models with covariates. 2006. 27–27. 5 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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