Devvi Sarwinda

1.3k total citations · 1 hit paper
80 papers, 854 citations indexed

About

Devvi Sarwinda is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Devvi Sarwinda has authored 80 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 25 papers in Molecular Biology and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Devvi Sarwinda's work include Gene expression and cancer classification (15 papers), Machine Learning in Bioinformatics (14 papers) and Artificial Intelligence in Healthcare (14 papers). Devvi Sarwinda is often cited by papers focused on Gene expression and cancer classification (15 papers), Machine Learning in Bioinformatics (14 papers) and Artificial Intelligence in Healthcare (14 papers). Devvi Sarwinda collaborates with scholars based in Indonesia and Canada. Devvi Sarwinda's co-authors include Alhadi Bustamam, Pinkie Anggia, Titin Siswantining, Aniati Murni Arymurthy, Zuherman Rustam, Arry Yanuar, Ari Wibisono, Wibowo Mangunwardoyo, Petrus Mursanto and Hengki Tasman and has published in prestigious journals such as Knowledge-Based Systems, Symmetry and Journal Of Big Data.

In The Last Decade

Devvi Sarwinda

74 papers receiving 809 citations

Hit Papers

Deep Learning in Image Classification using Residual Netw... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devvi Sarwinda Indonesia 14 330 280 227 100 79 80 854
Alhadi Bustamam Indonesia 16 432 1.3× 377 1.3× 247 1.1× 104 1.0× 207 2.6× 142 1.2k
Manal Alghamdi Saudi Arabia 19 471 1.4× 279 1.0× 409 1.8× 67 0.7× 44 0.6× 44 1.1k
Dilovan Asaad Zebari Iraq 21 588 1.8× 335 1.2× 310 1.4× 166 1.7× 70 0.9× 54 1.2k
Law Kumar Singh India 22 303 0.9× 457 1.6× 296 1.3× 84 0.8× 67 0.8× 44 926
J. Dinesh Peter India 18 319 1.0× 316 1.1× 272 1.2× 76 0.8× 32 0.4× 66 821
Salman Qadri Pakistan 17 198 0.6× 176 0.6× 182 0.8× 116 1.2× 70 0.9× 45 845
Chaosheng Tang China 15 389 1.2× 239 0.9× 286 1.3× 215 2.1× 44 0.6× 55 1.1k
Boran Şekeroğlu Cyprus 16 309 0.9× 262 0.9× 171 0.8× 69 0.7× 22 0.3× 51 923
Nagwan Abdel Samee Saudi Arabia 20 617 1.9× 280 1.0× 348 1.5× 232 2.3× 57 0.7× 101 1.3k

Countries citing papers authored by Devvi Sarwinda

Since Specialization
Citations

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

Fields of papers citing papers by Devvi Sarwinda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devvi Sarwinda

This figure shows the co-authorship network connecting the top 25 collaborators of Devvi Sarwinda. A scholar is included among the top collaborators of Devvi Sarwinda 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 Devvi Sarwinda. Devvi Sarwinda 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.
3.
Bustamam, Alhadi, et al.. (2023). Classification of Electrocardiogram Signal Using Deep Learning Models. 767–772. 4 indexed citations
4.
Sarwinda, Devvi, et al.. (2023). Tree-Based Ensemble Methods and Their Applications for Predicting Students’ Academic Performance. International Journal on Advanced Science Engineering and Information Technology. 13(3). 919–927. 5 indexed citations
5.
Siswantining, Titin, et al.. (2022). Iterative bicluster-based Bayesian principal component analysis and least squares for missing-value imputation in microarray and RNA-sequencing data. Mathematical Biosciences & Engineering. 19(9). 8741–8759. 3 indexed citations
6.
Siswantining, Titin, et al.. (2022). Triclustering method for finding biomarkers in human immunodeficiency virus-1 gene expression data. Mathematical Biosciences & Engineering. 19(7). 6743–6763. 3 indexed citations
7.
Bustamam, Alhadi, et al.. (2021). Artificial intelligence paradigm for ligand-based virtual screening on the drug discovery of type 2 diabetes mellitus. Journal Of Big Data. 8(1). 10 indexed citations
8.
Bustamam, Alhadi, et al.. (2021). Detection and description generation of diabetic retinopathy using convolutional neural network and long short-term memory. Journal of Physics Conference Series. 1722(1). 12010–12010. 18 indexed citations
10.
Bustamam, Alhadi, et al.. (2020). The comparison of machine learning methods for prediction study of type 2 diabetes mellitus’s drug design. AIP conference proceedings. 2264. 30010–30010. 3 indexed citations
11.
Sarwinda, Devvi, et al.. (2020). Analysis of Deep Feature Extraction for Colorectal Cancer Detection. 1–5. 18 indexed citations
12.
Siswantining, Titin, et al.. (2020). Kernel PCA and SVM-RFE based feature selection for classification of dengue microarray dataset. AIP conference proceedings. 2264. 30004–30004. 5 indexed citations
14.
Sarwinda, Devvi, et al.. (2020). Prediction of dengue incidence in DKI Jakarta using adaptive neuro-fuzzy inference system. AIP conference proceedings. 2296. 20024–20024. 1 indexed citations
16.
Rustam, Zuherman, et al.. (2019). Soft Tissue Tumor Classification using Stochastic Support Vector Machine. IOP Conference Series Materials Science and Engineering. 546(5). 52089–52089. 7 indexed citations
17.
Siswantining, Titin, et al.. (2019). Missing Value Analysis of Numerical Data using Fractional Hot Deck Imputation. 1–6. 12 indexed citations
18.
Sarwinda, Devvi, et al.. (2018). Risk Prediction Model Occurrence of Obstructive Sleep Apnea (OSA) Risk in Chronic Obstructive Pulmonary Disease patient. Case Study: Cipto Mangunkusumo Hospital. Journal of Physics Conference Series. 1108. 12076–12076. 2 indexed citations
19.
Sarwinda, Devvi & Alhadi Bustamam. (2016). Detection of Alzheimer's disease using advanced local binary pattern from hippocampus and whole brain of MR images. 5051–5056. 34 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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