Astri Handayani

801 total citations
32 papers, 127 citations indexed

About

Astri Handayani is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Astri Handayani has authored 32 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Ophthalmology. Recurrent topics in Astri Handayani's work include Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (8 papers) and Advanced MRI Techniques and Applications (7 papers). Astri Handayani is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (8 papers) and Advanced MRI Techniques and Applications (7 papers). Astri Handayani collaborates with scholars based in Indonesia, Netherlands and United States. Astri Handayani's co-authors include Matthijs Oudkerk, Andriyan Bayu Suksmono, Agung W. Setiawan, Paul E. Sijens, Tati L. R. Mengko, Akira Hirose, Tati Rajab Mengko, Hildebrand Dijkstra, Peter M. A. van Ooijen and Rozemarijn Vliegenthart and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Astri Handayani

25 papers receiving 118 citations

Peers

Astri Handayani
Astri Handayani
Citations per year, relative to Astri Handayani Astri Handayani (= 1×) peers Xiangshang Zheng

Countries citing papers authored by Astri Handayani

Since Specialization
Citations

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

Fields of papers citing papers by Astri Handayani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Astri Handayani

This figure shows the co-authorship network connecting the top 25 collaborators of Astri Handayani. A scholar is included among the top collaborators of Astri Handayani 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 Astri Handayani. Astri Handayani 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
3.
Handayani, Astri, et al.. (2023). Retinal Blood Vessels Tortuosity Measurement. 108–113.
5.
Trilaksono, Bambang Riyanto, et al.. (2023). Detection method of viral pneumonia imaging features based on CT scan images in COVID-19 case study. MethodsX. 12. 102507–102507.
7.
Handayani, Astri, et al.. (2020). Bone Conduction Hearing Aid for Microtia Patient Using Open MHA Library. 152–157. 2 indexed citations
8.
Handayani, Astri, et al.. (2020). Diabetic Retinopathy Classification Using A Hybrid and Efficient MobileNetV2-SVM Model. 235–240. 24 indexed citations
10.
11.
Handayani, Astri, Agung W. Setiawan, & Widyawardana Adiprawita. (2019). Development of an Integrated Laboratory Course Sequence on Biomedical Instrumentation and Signal Processing. 1–5.
12.
Handayani, Astri, et al.. (2019). Brain Tumor Semi-automatic Segmentation on MRI T1-weighted Images using Active Contour Models. 217–221. 10 indexed citations
13.
Handayani, Astri, et al.. (2019). A Study on Part Affinity Fields Implementation for Human Pose Estimation with Deep Neural Network. 391–396. 5 indexed citations
14.
Handayani, Astri, et al.. (2018). Centella asiatica ethanol extract increases hippocampal brain derived neurotrophic factor in male Wistar rats. SHILAP Revista de lepidopterología. 37(2). 143–149. 1 indexed citations
15.
Handayani, Astri, Hildebrand Dijkstra, Gert Jan Pelgrim, et al.. (2015). Contrast-optimized composite image derived from multigradient echo cardiac magnetic resonance imaging improves reproducibility of myocardial contours and T2* measurement. Magnetic Resonance Materials in Physics Biology and Medicine. 29(1). 17–27. 5 indexed citations
16.
Pelgrim, Gert Jan, Marco Das, Ulrike Haberland, et al.. (2015). Development of anEx Vivo, Beating Heart Model for CT Myocardial Perfusion. BioMed Research International. 2015. 1–8. 11 indexed citations
17.
Handayani, Astri, Hildebrand Dijkstra, Gert Jan Pelgrim, et al.. (2014). Intermodel Agreement of Myocardial Blood Flow Estimation From Stress-Rest Myocardial Perfusion Magnetic Resonance Imaging in Patients With Coronary Artery Disease. Investigative Radiology. 50(4). 275–282. 5 indexed citations
18.
Handayani, Astri, et al.. (2012). Influence of the Choice of Software Package on the Outcome of Semiquantitative MR Myocardial Perfusion Analysis. Radiology. 266(3). 759–765. 9 indexed citations
19.
Ooijen, Peter M. A. van, et al.. (2010). Optimal postprocessing of images following cardiac examination using CT and MRI. Imaging in Medicine. 2(4). 459–474.
20.
Mengko, Tati Rajab, et al.. (2009). Image Processing in Retinal Angiography: Extracting Angiographical Features without the Requirement of Contrast Agents. Machine Vision and Applications. 451–454. 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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