Po‐Chih Kuo

960 total citations
36 papers, 264 citations indexed

About

Po‐Chih Kuo is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Po‐Chih Kuo has authored 36 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Artificial Intelligence. Recurrent topics in Po‐Chih Kuo's work include EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (5 papers) and Machine Learning in Healthcare (5 papers). Po‐Chih Kuo is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (5 papers) and Machine Learning in Healthcare (5 papers). Po‐Chih Kuo collaborates with scholars based in Taiwan, United States and Germany. Po‐Chih Kuo's co-authors include Yong‐Sheng Chen, Chia‐Yi Cheng, Hui-Ling Chan, Li‐Fen Chen, Leo Anthony Celi, Cheng‐Yu Chen, Sho‐Jen Cheng, Jen‐Chuen Hsieh, Alexandros Karargyris and Alistair E. W. Johnson and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and The Journals of Gerontology Series A.

In The Last Decade

Po‐Chih Kuo

29 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Po‐Chih Kuo Taiwan 10 100 72 41 40 34 36 264
Yauhen Statsenko United Arab Emirates 10 69 0.7× 82 1.1× 35 0.9× 26 0.7× 13 0.4× 61 387
Giuseppe Varone Italy 10 156 1.6× 82 1.1× 95 2.3× 17 0.4× 12 0.4× 14 342
Ada Orrico Italy 11 52 0.5× 115 1.6× 29 0.7× 91 2.3× 135 4.0× 20 513
Patrizia Vizza Italy 12 51 0.5× 67 0.9× 67 1.6× 54 1.4× 89 2.6× 67 396
Juliana Carneiro Gomes Brazil 11 81 0.8× 121 1.7× 73 1.8× 26 0.7× 20 0.6× 24 308
Scott Siegel United States 5 54 0.5× 31 0.4× 44 1.1× 23 0.6× 18 0.5× 6 203
Beanbonyka Rim South Korea 9 79 0.8× 141 2.0× 59 1.4× 66 1.6× 55 1.6× 11 362
Todd Levy United States 8 74 0.7× 44 0.6× 28 0.7× 47 1.2× 57 1.7× 16 319
Joana Câmara Portugal 6 30 0.3× 28 0.4× 44 1.1× 34 0.8× 14 0.4× 12 276

Countries citing papers authored by Po‐Chih Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Po‐Chih Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po‐Chih Kuo. 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 Po‐Chih Kuo. The network helps show where Po‐Chih Kuo may publish in the future.

Co-authorship network of co-authors of Po‐Chih Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Po‐Chih Kuo. A scholar is included among the top collaborators of Po‐Chih Kuo 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 Po‐Chih Kuo. Po‐Chih Kuo 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.
Huang, Bing, Po‐Chih Kuo, Li‐Kai Huang, Chaur‐Jong Hu, & Cheng‐Yu Chen. (2025). Explainable Detection of Alzheimer’s Disease Through Analysis of Human Behavior in Video. 1–5.
2.
Cheng, Sho‐Jen, et al.. (2025). A vision transformer-convolutional neural network framework for decision-transparent dual-energy X-ray absorptiometry recommendations using chest low-dose CT. International Journal of Medical Informatics. 199. 105901–105901. 1 indexed citations
3.
Tang, George, et al.. (2024). Echocardiogram Vector Embeddings Via R3D Transformer for the Advancement of Automated Echocardiography. JACC Advances. 3(9). 101196–101196. 1 indexed citations
4.
Wang, Ryan, Po‐Chih Kuo, Li-Ching Chen, et al.. (2024). Drop the shortcuts: image augmentation improves fairness and decreases AI detection of race and other demographics from medical images. EBioMedicine. 102. 105047–105047. 6 indexed citations
5.
Lee, Hsin-Ying, Po‐Chih Kuo, Frank Qian, et al.. (2024). Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning–Based Multimodal Approach. JMIR Medical Informatics. 12. e49142–e49142. 4 indexed citations
6.
Cheng, Sho‐Jen, et al.. (2024). Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework. European Radiology Experimental. 8(1). 59–59. 2 indexed citations
7.
Kuo, Po‐Chih, et al.. (2024). Representing scents: An evaluation framework of scent-related experiences through associations between grounded and psychophysiological data. International Journal of Human-Computer Studies. 192. 103357–103357.
8.
Chen, Yi–Ju, et al.. (2024). Dementia Assessment Using Mandarin Speech with an Attention-Based Speech Recognition Encoder. 12461–12465. 1 indexed citations
9.
Moukheiber, Dana, David Restrepo, María Patricia Arbeláez, et al.. (2024). A multimodal framework for extraction and fusion of satellite images and public health data. Scientific Data. 11(1). 634–634. 4 indexed citations
10.
Kuo, Po‐Chih, et al.. (2024). Decoding Visual Perception from EEG Using Explainable Graph Neural Network. PubMed. 2024. 1–4.
11.
Chen, Li-Ching, Lama Moukheiber, Kenneth P. Seastedt, et al.. (2023). Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study. International Journal of Medical Informatics. 178. 105211–105211. 5 indexed citations
12.
Kuo, Lu-Cheng, Po‐Chih Kuo, Meng‐Rui Lee, et al.. (2023). A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study. Insights into Imaging. 14(1). 67–67. 17 indexed citations
13.
Cheng, Yiwei, et al.. (2023). Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning. Journal of Clinical Monitoring and Computing. 38(2). 271–279. 2 indexed citations
14.
Kuo, Po‐Chih & Michelle Liou. (2022). Decision thresholding on fMRI activation maps using the Hilbert–Huang transform. Journal of Neural Engineering. 19(4). 46016–46016.
15.
Kuo, Po‐Chih, Karl Zilles, Timothy Q. Duong, et al.. (2022). Brain Reactions to Opening and Closing the Eyes: Salivary Cortisol and Functional Connectivity. Brain Topography. 35(4). 375–397. 1 indexed citations
16.
17.
Kuo, Po‐Chih, Yong‐Sheng Chen, & Li‐Fen Chen. (2018). Manifold decoding for neural representations of face viewpoint and gaze direction using magnetoencephalographic data. Human Brain Mapping. 39(5). 2191–2209. 5 indexed citations
18.
19.
Kuo, Po‐Chih, et al.. (2016). Decoding the perception of endogenous pain from resting-state MEG. NeuroImage. 144(Pt A). 1–11. 21 indexed citations
20.
Kuo, Po‐Chih, Yong‐Sheng Chen, Li‐Fen Chen, & Jen‐Chuen Hsieh. (2014). Decoding and encoding of visual patterns using magnetoencephalographic data represented in manifolds. NeuroImage. 102. 435–450. 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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