Ade Iriani Sapitri

553 total citations
38 papers, 344 citations indexed

About

Ade Iriani Sapitri is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Ade Iriani Sapitri has authored 38 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 13 papers in Cardiology and Cardiovascular Medicine and 11 papers in Artificial Intelligence. Recurrent topics in Ade Iriani Sapitri's work include ECG Monitoring and Analysis (12 papers), Congenital Heart Disease Studies (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Ade Iriani Sapitri is often cited by papers focused on ECG Monitoring and Analysis (12 papers), Congenital Heart Disease Studies (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Ade Iriani Sapitri collaborates with scholars based in Indonesia, South Korea and United States. Ade Iriani Sapitri's co-authors include Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Bambang Tutuko, Radiyati Umi Partan, Alexander Edo Tondas, Dian Palupi Rini, Sukemi Sukemi and Satria Mandala and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Ade Iriani Sapitri

35 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ade Iriani Sapitri Indonesia 10 143 91 74 73 70 38 344
Radiyati Umi Partan Indonesia 9 179 1.3× 58 0.6× 98 1.3× 47 0.6× 33 0.5× 35 334
Zhaohan Xiong New Zealand 9 344 2.4× 17 0.2× 138 1.9× 126 1.7× 6 0.1× 13 524
Trygve Eftestøl Norway 14 255 1.8× 17 0.2× 40 0.5× 164 2.2× 6 0.1× 44 562
Parisa Gifani Iran 9 66 0.5× 21 0.2× 36 0.5× 186 2.5× 5 0.1× 22 310
Matthew Sinclair United Kingdom 12 173 1.2× 19 0.2× 7 0.1× 230 3.2× 35 0.5× 23 395
Jonas L. Isaksen Denmark 11 234 1.6× 18 0.2× 45 0.6× 29 0.4× 4 0.1× 44 411
Sachin Pandey Canada 10 44 0.3× 62 0.7× 8 0.1× 84 1.2× 13 0.2× 54 322
Kristin McLeod Norway 9 120 0.8× 40 0.4× 3 0.0× 106 1.5× 13 0.2× 17 331
Mostafa Ghelich Oghli Iran 9 62 0.4× 12 0.1× 5 0.1× 237 3.2× 41 0.6× 19 386
Carlos Martín-Isla Spain 9 106 0.7× 18 0.2× 7 0.1× 219 3.0× 5 0.1× 14 371

Countries citing papers authored by Ade Iriani Sapitri

Since Specialization
Citations

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

Fields of papers citing papers by Ade Iriani Sapitri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ade Iriani Sapitri. 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 Ade Iriani Sapitri. The network helps show where Ade Iriani Sapitri may publish in the future.

Co-authorship network of co-authors of Ade Iriani Sapitri

This figure shows the co-authorship network connecting the top 25 collaborators of Ade Iriani Sapitri. A scholar is included among the top collaborators of Ade Iriani Sapitri 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 Ade Iriani Sapitri. Ade Iriani Sapitri 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.
Darmawahyuni, Annisa, Siti Nurmaini, Bambang Tutuko, et al.. (2024). Health-Related Data Analysis Using Metaheuristic Optimization and Machine Learning. IEEE Access. 12. 55342–55356. 2 indexed citations
2.
Darmawahyuni, Annisa, Siti Nurmaini, Bambang Tutuko, et al.. (2024). An improved electrocardiogram arrhythmia classification performance with feature optimization. BMC Medical Informatics and Decision Making. 24(1). 412–412. 2 indexed citations
3.
Nurmaini, Siti, Muhammad Naufal Rachmatullah, Firdaus Firdaus, et al.. (2024). Robust assessment of cervical precancerous lesions from pre- and post-acetic acid cervicography by combining deep learning and medical guidelines. Informatics in Medicine Unlocked. 52. 101609–101609. 1 indexed citations
4.
Nurmaini, Siti, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, et al.. (2023). Real time mobile AI-assisted cervicography interpretation system. Informatics in Medicine Unlocked. 42. 101360–101360. 3 indexed citations
5.
Firdaus, Firdaus, et al.. (2023). Segmentation of Skin Lesions Using Convolutional Neural Networks. Computer Engineering and Applications Journal. 12(1). 58–67. 1 indexed citations
6.
Darmawahyuni, Annisa, Bambang Tutuko, Siti Nurmaini, et al.. (2023). Accurate Fetal QRS-Complex Classification from Abdominal Electrocardiogram Using Deep Learning. International Journal of Computational Intelligence Systems. 16(1). 5 indexed citations
7.
8.
Nurmaini, Siti, Annisa Darmawahyuni, Muhammad Naufal Rachmatullah, et al.. (2023). Robust electrocardiogram delineation model for automatic morphological abnormality interpretation. Scientific Reports. 13(1). 13736–13736. 6 indexed citations
9.
Tutuko, Bambang, Annisa Darmawahyuni, Siti Nurmaini, et al.. (2023). Empowering AI-Diagnosis: Deep Learning Abilities for Accurate Atrial Fibrillation Classification. International Journal of Online and Biomedical Engineering (iJOE). 19(17). 134–151.
10.
Darmawahyuni, Annisa, Siti Nurmaini, Muhammad Naufal Rachmatullah, et al.. (2023). Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm. BMC Medical Informatics and Decision Making. 23(1). 139–139. 2 indexed citations
11.
Nurmaini, Siti, Muhammad Naufal Rachmatullah, Radiyati Umi Partan, et al.. (2023). CervicoXNet: an automated cervicogram interpretation network. Medical & Biological Engineering & Computing. 61(9). 2405–2416. 2 indexed citations
12.
Nurmaini, Siti, et al.. (2022). Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy. Sensors. 22(15). 5489–5489. 5 indexed citations
13.
Darmawahyuni, Annisa, Siti Nurmaini, Muhammad Naufal Rachmatullah, et al.. (2022). Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification. PeerJ Computer Science. 8. e825–e825. 22 indexed citations
14.
Tutuko, Bambang, Annisa Darmawahyuni, Siti Nurmaini, et al.. (2022). DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detection. PLoS ONE. 17(12). e0277932–e0277932. 11 indexed citations
15.
Nurmaini, Siti, Bayu Adhi Tama, Muhammad Naufal Rachmatullah, et al.. (2022). An improved semantic segmentation with region proposal network for cardiac defect interpretation. Neural Computing and Applications. 34(16). 13937–13950. 9 indexed citations
16.
Nurmaini, Siti, Radiyati Umi Partan, Ade Iriani Sapitri, et al.. (2022). Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart Diseases. Journal of Clinical Medicine. 11(21). 6454–6454. 27 indexed citations
17.
Firdaus, Firdaus, et al.. (2022). Author Classification on Bibliographic Data Using Capsule Networks Architecture. 101–105. 1 indexed citations
18.
Rachmatullah, Muhammad Naufal, Siti Nurmaini, Ade Iriani Sapitri, et al.. (2021). Convolutional neural network for semantic segmentation of fetal echocardiography based on four-chamber view. Bulletin of Electrical Engineering and Informatics. 10(4). 1987–1996. 22 indexed citations
19.
Tutuko, Bambang, Siti Nurmaini, Alexander Edo Tondas, et al.. (2021). AFibNet: an implementation of atrial fibrillation detection with convolutional neural network. BMC Medical Informatics and Decision Making. 21(1). 216–216. 43 indexed citations
20.
Sapitri, Ade Iriani & Annisa Darmawahyuni. (2021). Aorta Detection with Fetal Echocardiography Images Using Faster Regional Convolutional Neural Network (R-CNNs). Computer Engineering and Applications Journal. 10(2). 115–124. 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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