Patrick Then

660 total citations
65 papers, 388 citations indexed

About

Patrick Then is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Patrick Then has authored 65 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Patrick Then's work include COVID-19 diagnosis using AI (7 papers), Biomedical Text Mining and Ontologies (6 papers) and Smart Agriculture and AI (5 papers). Patrick Then is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Biomedical Text Mining and Ontologies (6 papers) and Smart Agriculture and AI (5 papers). Patrick Then collaborates with scholars based in Malaysia, Australia and Germany. Patrick Then's co-authors include Valliappan Raman, Biju Issac, Manas K. Haldar, Rainer Heintzmann, Putra Sumari, Ronny Förster, Benedict Diederich, Caslon Chua, Ming Ha Lee and Michael B. C. Khoo and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Physical Review A.

In The Last Decade

Patrick Then

58 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Then Malaysia 11 97 75 69 51 51 65 388
O‐Joun Lee South Korea 13 114 1.2× 18 0.2× 169 2.4× 32 0.6× 57 1.1× 58 421
Bei Yang China 13 48 0.5× 62 0.8× 155 2.2× 14 0.3× 27 0.5× 35 494
Gowri Srinivasa India 10 134 1.4× 50 0.7× 81 1.2× 24 0.5× 24 0.5× 54 384
Krzysztof Pancerz Poland 11 22 0.2× 28 0.4× 179 2.6× 84 1.6× 25 0.5× 105 509
Chenglang Lu China 10 80 0.8× 66 0.9× 207 3.0× 40 0.8× 20 0.4× 20 407
Spiros V. Georgakopoulos Greece 8 71 0.7× 41 0.5× 194 2.8× 13 0.3× 40 0.8× 30 400
Parminder Kaur India 10 89 0.9× 120 1.6× 204 3.0× 21 0.4× 31 0.6× 44 453
Renqian Luo China 7 58 0.6× 72 1.0× 408 5.9× 9 0.2× 28 0.5× 10 799
Wasim Ahmad Khan Pakistan 9 113 1.2× 71 0.9× 195 2.8× 26 0.5× 13 0.3× 24 472
J. Angel Arul Jothi United Arab Emirates 12 113 1.2× 86 1.1× 189 2.7× 24 0.5× 7 0.1× 34 366

Countries citing papers authored by Patrick Then

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Then

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Then

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Then. A scholar is included among the top collaborators of Patrick Then 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 Patrick Then. Patrick Then 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.
Raman, Valliappan, et al.. (2025). SCABNet : A Novel Polyp Segmentation Network With Spatial‐Gradient Attention and Channel Prioritization. International Journal of Imaging Systems and Technology. 35(2).
2.
3.
Kuan, Pei Xuan, et al.. (2023). Malaysian cough sound analysis and COVID-19 classification with deep learning. Intelligence-Based Medicine. 9. 100129–100129. 4 indexed citations
4.
Raman, Valliappan, et al.. (2023). Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques. Sensors. 23(3). 1225–1225. 22 indexed citations
5.
Noor, Norliza Mohd, et al.. (2023). Investigation of ConViT on COVID-19 Lung Image Classification and the Effects of Image Resolution and Number of Attention Heads. International Journal of Integrated Engineering. 15(3). 2 indexed citations
6.
Then, Patrick, et al.. (2023). Deep learning in digital health with chatgpt: a study on efficient code generation. European Heart Journal. 44(Supplement_2). 3 indexed citations
7.
Romero‐Arenas, Antonio, Patrick Then, Christian Eggeling, et al.. (2022). Excited‐State Dynamics in Borylated Arylisoquinoline Complexes in Solution and in cellulo. Chemistry - A European Journal. 29(16). e202203468–e202203468. 4 indexed citations
8.
Then, Patrick, Michael Tran Duong, Christoph Kaether, et al.. (2021). Silicon-rhodamine isothiocyanate for fluorescent labelling. Organic & Biomolecular Chemistry. 19(3). 574–578. 4 indexed citations
9.
Then, Patrick, et al.. (2021). PEGylation of Guanidinium and Indole Bearing Poly(methacrylamide)s – Biocompatible Terpolymers for pDNA Delivery. Macromolecular Bioscience. 21(10). e2100146–e2100146. 4 indexed citations
10.
Lee, Ming Ha, Michael B. C. Khoo, XinYing Chew, & Patrick Then. (2020). Economic-statistical design of synthetic np chart with estimated process parameter. PLoS ONE. 15(4). e0230994–e0230994. 10 indexed citations
11.
12.
Lee, Ming Ha, et al.. (2020). DESIGN OF THE SYNTHETIC MULTIVARIATE COEFFICIENT OF VARIATION CHART BASED ON THE MEDIAN RUN LENGTH. Advances in Mathematics Scientific Journal. 9(9). 7397–7406. 1 indexed citations
13.
Then, Patrick, et al.. (2019). Empowering Rural Youth for Socioeconomic Development: A Skill Development Approach in Sarawak, Malaysia. Information Technologies and International Development. 15. 17. 1 indexed citations
14.
Diederich, Benedict, et al.. (2019). cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM. PLoS ONE. 14(1). e0209827–e0209827. 40 indexed citations
15.
Raman, Valliappan, et al.. (2019). Design and Implementation of IoT-enabled Compost Monitoring System. Swinburne Research Bank (Swinburne University of Technology). 23–28. 9 indexed citations
16.
Ohsaki, Miho, et al.. (2018). Discovery of Sets and Representatives of Variables in Co-nonlinear Relationships by Neural Network Regression and Group Lasso. Swinburne Research Bank (Swinburne University of Technology). 3. 2287–2294. 1 indexed citations
17.
Then, Patrick, et al.. (2018). A Survey on Biometrics and Cancelable Biometrics Systems. International Journal of Image and Graphics. 18(1). 1850006–1850006. 40 indexed citations
18.
Then, Patrick, et al.. (2017). Deep learning for cardiac computer-aided diagnosis: benefits, issues & solutions. mHealth. 3. 45–45. 27 indexed citations
19.
Raman, Valliappan, Patrick Then, & R. Annuar. (2012). A Brief Study on Automated Non Contrast Cardiac MRI Segmentation by Machine Vision Techniques. International Journal of Engineering and Technology. 4(5). 504–507. 2 indexed citations
20.
Then, Patrick, et al.. (2005). Perceiving Digital Image Watermark Detection as Image Classification Problem using Support Vector Machines.. 198–206. 2 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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