Gede Putra Kusuma

918 total citations
61 papers, 556 citations indexed

About

Gede Putra Kusuma is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gede Putra Kusuma has authored 61 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Gede Putra Kusuma's work include Face recognition and analysis (6 papers), IoT and Edge/Fog Computing (6 papers) and Advanced Neural Network Applications (6 papers). Gede Putra Kusuma is often cited by papers focused on Face recognition and analysis (6 papers), IoT and Edge/Fog Computing (6 papers) and Advanced Neural Network Applications (6 papers). Gede Putra Kusuma collaborates with scholars based in Indonesia and Singapore. Gede Putra Kusuma's co-authors include Suharjito Suharjito, Sani Muhamad Isa, Chin-Seng Chua, Tjeng Wawan Cenggoro, Bens Pardamean, Nico Surantha, Edi Abdurachman, Yaya Heryadi, Jonathan Jonathan and Ford Lumban Gaol and has published in prestigious journals such as SHILAP Revista de lepidopterología, Image and Vision Computing and Neural Computing and Applications.

In The Last Decade

Gede Putra Kusuma

52 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gede Putra Kusuma Indonesia 13 160 154 117 109 68 61 556
Wernhuar Tarng Taiwan 15 335 2.1× 158 1.0× 285 2.4× 219 2.0× 45 0.7× 58 758
Yang Jiang China 15 130 0.8× 76 0.5× 43 0.4× 40 0.4× 160 2.4× 55 629
Xiaodong Wei China 8 194 1.2× 75 0.5× 134 1.1× 121 1.1× 45 0.7× 39 435
Kamal Bijlani India 12 121 0.8× 45 0.3× 58 0.5× 75 0.7× 109 1.6× 50 442
Mohamad Nizam Bin Ayub Malaysia 11 84 0.5× 61 0.4× 31 0.3× 83 0.8× 87 1.3× 24 449
T. S. Ashwin India 12 138 0.9× 31 0.2× 75 0.6× 80 0.7× 129 1.9× 38 484
Sarajane Marques Peres Brazil 12 108 0.7× 49 0.3× 103 0.9× 85 0.8× 188 2.8× 91 492
Fusako Kusunoki Japan 10 113 0.7× 90 0.6× 132 1.1× 121 1.1× 19 0.3× 101 427
Shumei Zhang China 13 208 1.3× 29 0.2× 35 0.3× 59 0.5× 113 1.7× 34 564
Ramón Zataraín Cabada Mexico 15 183 1.1× 204 1.3× 112 1.0× 205 1.9× 280 4.1× 78 820

Countries citing papers authored by Gede Putra Kusuma

Since Specialization
Citations

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

Fields of papers citing papers by Gede Putra Kusuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gede Putra Kusuma. 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 Gede Putra Kusuma. The network helps show where Gede Putra Kusuma may publish in the future.

Co-authorship network of co-authors of Gede Putra Kusuma

This figure shows the co-authorship network connecting the top 25 collaborators of Gede Putra Kusuma. A scholar is included among the top collaborators of Gede Putra Kusuma 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 Gede Putra Kusuma. Gede Putra Kusuma 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.
Maulana, Fairuz Iqbal, Yaya Heryadi, Gede Putra Kusuma, & Widodo Budiharto. (2025). Data augmentation English-Indonesia-Madurese parallel corpus dataset using neural machine translation. Data in Brief. 62. 112046–112046.
2.
Kusuma, Gede Putra, et al.. (2024). Handwritten Character Recognition using Deep Learning Algorithm with Machine Learning Classifier. SHILAP Revista de lepidopterología. 8(1). 150–150. 3 indexed citations
3.
Kusuma, Gede Putra, et al.. (2024). Enhancing Image Clarity with the Combined Use of REDNet and Attention Channel Module. International Journal of Computing and Digital Systems. 15(1). 213–223.
4.
Kusuma, Gede Putra, et al.. (2024). Alphabet Recognition in Sign Language Using Deep Learning Algorithm with Bayesian Optimization. Revue d intelligence artificielle. 38(3). 929–938. 1 indexed citations
5.
Kusuma, Gede Putra, et al.. (2024). Mixed Emotion Recognition Through Facial Expression using Transformer-Based Model. Statistics Optimization & Information Computing. 13(2). 531–546. 1 indexed citations
6.
Kusuma, Gede Putra, et al.. (2023). Analysis of the Effect of Using E-Learning on the Learning Process Using the UTAUT Method. Journal of Computer Science and Technology Studies. 5(1). 8–14. 1 indexed citations
7.
Kusuma, Gede Putra, et al.. (2023). Evaluation of CNN Models in Identifying Plant Diseases on a Mobile Device. Revue d intelligence artificielle. 37(2). 441–449. 3 indexed citations
8.
Kusuma, Gede Putra, et al.. (2023). Stacking ensemble learning for optical music recognition. Bulletin of Electrical Engineering and Informatics. 12(5). 3095–3104. 1 indexed citations
9.
Kusuma, Gede Putra, et al.. (2023). Fine-Tuned IndoBERT Based Model and Data Augmentation for Indonesian Language Paraphrase Identification. Revue d intelligence artificielle. 37(3). 733–743. 4 indexed citations
10.
Kusuma, Gede Putra, et al.. (2022). Identity Card Detection System using YOLOv3 and Image Rectification. International Journal of Emerging Technology and Advanced Engineering. 12(2). 167–173. 1 indexed citations
11.
Kusuma, Gede Putra, et al.. (2022). Prediction of Local Government Revenue using Data Mining Method. International Journal of Emerging Technology and Advanced Engineering. 12(1). 63–74. 2 indexed citations
12.
Kusuma, Gede Putra, et al.. (2021). Indoor positioning system using hybrid method of fingerprinting and pedestrian dead reckoning. Journal of King Saud University - Computer and Information Sciences. 34(9). 7101–7110. 12 indexed citations
13.
Kusuma, Gede Putra, et al.. (2020). A fingerprint-based coarse-to-fine algorithm for indoor positioning system using Bluetooth Low Energy. Neural Computing and Applications. 33(7). 2735–2751. 20 indexed citations
14.
Kusuma, Gede Putra, et al.. (2020). IoT-Based Student Monitoring System for Smart School Applications. International Journal of Emerging Trends in Engineering Research. 8(9). 6423–6430. 5 indexed citations
15.
Kusuma, Gede Putra, et al.. (2019). Minimizing Energy Consumption Of Image Data Offloading In Mobile Cloud Computing Application. International journal of scientific and technology research. 8(9). 177–182.
16.
Kusuma, Gede Putra, et al.. (2019). Predicting Indoor Position Using Bluetooth Low Energy And Machine Learning. International journal of scientific and technology research. 8(9). 1661–1667. 9 indexed citations
17.
Kusuma, Gede Putra, et al.. (2019). Evaluation Of E-Government Use Among Civil Servants Using Unified Theory Of Acceptance And Use Of Technology Model – A Case Of Central Mamberamo Regency. International journal of scientific and technology research. 8(9). 1624–1631. 3 indexed citations
18.
Heryadi, Yaya, et al.. (2019). Human Fall Detection using Accelerometer and Gyroscope Sensors in Unconstrained Smartphone Positions. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 69–75. 10 indexed citations
19.
Suharjito, Suharjito, et al.. (2018). Feature Extraction Methods in Sign Language Recognition System: A Literature Review. 11–15. 8 indexed citations
20.
Kusuma, Gede Putra, et al.. (2017). Personality trait prediction based on game character design using machine learning approach. 1–5. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wernhuar Tarng Breakdown of academic impact, for papers by Yang Jiang Breakdown of academic impact, for papers by Xiaodong Wei Breakdown of academic impact, for papers by Kamal Bijlani Breakdown of academic impact, for papers by Mohamad Nizam Bin Ayub Breakdown of academic impact, for papers by T. S. Ashwin Breakdown of academic impact, for papers by Sarajane Marques Peres Breakdown of academic impact, for papers by Fusako Kusunoki Breakdown of academic impact, for papers by Shumei Zhang Breakdown of academic impact, for papers by Ramón Zataraín Cabada
Rankless by CCL
2026