Edi Noersasongko

600 total citations
47 papers, 344 citations indexed

About

Edi Noersasongko is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Edi Noersasongko has authored 47 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Edi Noersasongko's work include Data Mining and Machine Learning Applications (9 papers), Edcuational Technology Systems (8 papers) and Sentiment Analysis and Opinion Mining (4 papers). Edi Noersasongko is often cited by papers focused on Data Mining and Machine Learning Applications (9 papers), Edcuational Technology Systems (8 papers) and Sentiment Analysis and Opinion Mining (4 papers). Edi Noersasongko collaborates with scholars based in Indonesia, Malaysia and Taiwan. Edi Noersasongko's co-authors include Guruh Fajar Shidik, De Rosal Ignatius Moses Setiadi, Abdul Syukur, Supriadi Rustad, Pulung Nurtantio Andono, Nur Azman Abu, Ferda Ernawan, Muljono Muljono, Ricardus Anggi Pramunendar and Purwanto Purwanto and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer Methods and Programs in Biomedicine.

In The Last Decade

Edi Noersasongko

36 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edi Noersasongko Indonesia 8 181 105 51 40 19 47 344
Xian Wu United States 9 165 0.9× 42 0.4× 82 1.6× 77 1.9× 41 2.2× 17 317
Tao-Hsing Chang Taiwan 9 210 1.2× 55 0.5× 51 1.0× 12 0.3× 9 0.5× 34 323
Mingyang Zhang China 8 174 1.0× 42 0.4× 40 0.8× 47 1.2× 24 1.3× 12 297
Özgür Kafalı United Kingdom 10 108 0.6× 38 0.4× 52 1.0× 18 0.5× 35 1.8× 27 220
Bart De Decker Belgium 9 134 0.7× 44 0.4× 149 2.9× 44 1.1× 44 2.3× 64 252
Hessah A. Alsalamah Saudi Arabia 9 90 0.5× 44 0.4× 108 2.1× 25 0.6× 14 0.7× 34 281
Yogesh Kumar Meena India 13 293 1.6× 70 0.7× 124 2.4× 36 0.9× 43 2.3× 56 468
Elviawaty Muisa Zamzami Indonesia 9 134 0.7× 48 0.5× 156 3.1× 16 0.4× 24 1.3× 53 360

Countries citing papers authored by Edi Noersasongko

Since Specialization
Citations

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

Fields of papers citing papers by Edi Noersasongko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edi Noersasongko

This figure shows the co-authorship network connecting the top 25 collaborators of Edi Noersasongko. A scholar is included among the top collaborators of Edi Noersasongko 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 Edi Noersasongko. Edi Noersasongko 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.
Rustad, Supriadi, Guruh Fajar Shidik, Edi Noersasongko, et al.. (2024). Systematic Literature Review on Named Entity Recognition: Approach, Method, and Application. Statistics Optimization & Information Computing. 12(4). 907–942. 3 indexed citations
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Noersasongko, Edi, et al.. (2023). Improving convolutional neural network based on hyperparameter optimization using variable length genetic algorithm for english digit handwritten recognition. International Journal of Advances in Intelligent Informatics. 9(1). 66–66. 1 indexed citations
6.
Noersasongko, Edi, et al.. (2023). The evaluation of convolutional neural network and genetic algorithm performance based on the number of hyperparameters for english handwritten recognition. IAES International Journal of Artificial Intelligence. 12(3). 1250–1250. 1 indexed citations
7.
Noersasongko, Edi, et al.. (2023). Multi-Features Audio Extraction for Speech Emotion Recognition Based on Deep Learning. International Journal of Advanced Computer Science and Applications. 14(6). 6 indexed citations
8.
Noersasongko, Edi, et al.. (2023). Gaussian Based-SMOTE Method for Handling Imbalanced Small Datasets. Selamat Datang di Repository UAD (Universitas Ahmad Dahlan). 9(4). 973–982. 1 indexed citations
9.
Noersasongko, Edi, et al.. (2023). Gradually Generative Adversarial Networks Method for Imbalanced Datasets. International Journal of Advanced Computer Science and Applications. 14(4).
10.
Noersasongko, Edi, et al.. (2022). Gaussian Mixture Model in Dynamic Background of Video Sequences for Human Detection. 3. 595–600. 2 indexed citations
11.
Muljono, Muljono, et al.. (2022). Capitalization Feature and Learning Rate for Improving NER Based on RNN BiLSTM-CRF. 398–403. 5 indexed citations
12.
Lin, Ming‐Chin, et al.. (2020). The implementation of an integrated e-leprosy framework in a leprosy control program at primary health care centers in Indonesia. International Journal of Medical Informatics. 140. 104155–104155. 9 indexed citations
13.
Rustad, Supriadi, et al.. (2020). Review of automatic text summarization techniques & methods. Journal of King Saud University - Computer and Information Sciences. 34(4). 1029–1046. 112 indexed citations
14.
Noersasongko, Edi, Abdul Syukur, Purwanto Purwanto, et al.. (2020). Analysis of Imputation Methods of Small and Unbalanced Datasets in Classifications using Naïve Bayes and Particle Swarm Optimization. 115–119. 2 indexed citations
15.
Andono, Pulung Nurtantio, et al.. (2020). Gamelan Composer: a Rule-Based Interactive Melody Generator for Gamelan Music. 8(4). 148–148. 3 indexed citations
16.
Hsu, Chien‐Yeh, Nurjanah Nurjanah, Peter Wushou Chang, et al.. (2019). Developing an Indonesia's health literacy short-form survey questionnaire (HLS-EU-SQ10-IDN) using the feature selection and genetic algorithm. Computer Methods and Programs in Biomedicine. 182. 105047–105047. 18 indexed citations
17.
Shidik, Guruh Fajar, et al.. (2019). A Systematic Review of Intelligence Video Surveillance: Trends, Techniques, Frameworks, and Datasets. IEEE Access. 7. 170457–170473. 69 indexed citations
18.
Lin, Ming‐Chin, et al.. (2018). Mining Medication Behavior of the Completion Leprosy's Multi-Drug Therapy in Indonesia. 271–274. 4 indexed citations
19.
Noersasongko, Edi, et al.. (2014). SISTEM PENDUKUNG KEPUTUSAN KELAYAKAN PEMBERIAN KREDIT MOTOR MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING PADA PERUSAHAAN LEASING HD FINANCE. 1(1). 11 indexed citations
20.
Ernawan, Ferda, Edi Noersasongko, & Nur Azman Abu. (2011). Using discrete Tchebichef transform on speech recognition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8350. 83501J–83501J. 4 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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