Hendri Murfi

984 total citations
58 papers, 604 citations indexed

About

Hendri Murfi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hendri Murfi has authored 58 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 15 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hendri Murfi's work include Text and Document Classification Technologies (19 papers), Advanced Text Analysis Techniques (17 papers) and Sentiment Analysis and Opinion Mining (9 papers). Hendri Murfi is often cited by papers focused on Text and Document Classification Technologies (19 papers), Advanced Text Analysis Techniques (17 papers) and Sentiment Analysis and Opinion Mining (9 papers). Hendri Murfi collaborates with scholars based in Indonesia, Canada and Australia. Hendri Murfi's co-authors include Kalamullah Ramli, Klaus Obermayer, Yekti Widyaningsih, Alhadi Bustamam, Kiki Ariyanti Sugeng, Jonathan D. Stanley and Joseph Ibrahim and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.

In The Last Decade

Hendri Murfi

49 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hendri Murfi Indonesia 13 244 118 59 57 37 58 604
Hairong Yu China 12 77 0.3× 95 0.8× 40 0.7× 36 0.6× 26 0.7× 52 515
Edward Rolando Núñez‐Valdéz Spain 13 157 0.6× 211 1.8× 24 0.4× 53 0.9× 73 2.0× 31 543
Nittaya Kerdprasop Thailand 12 266 1.1× 124 1.1× 29 0.5× 10 0.2× 75 2.0× 87 679
Kittisak Kerdprasop Thailand 12 268 1.1× 123 1.0× 29 0.5× 10 0.2× 85 2.3× 86 683
Khan Muhammad South Korea 6 402 1.6× 53 0.4× 28 0.5× 15 0.3× 83 2.2× 11 811
Xiaojun Ma China 11 207 0.8× 78 0.7× 31 0.5× 5 0.1× 55 1.5× 39 576
Indro Spinelli Italy 7 435 1.8× 76 0.6× 42 0.7× 6 0.1× 83 2.2× 10 939
Przemysław Szufel Poland 8 156 0.6× 75 0.6× 18 0.3× 8 0.1× 47 1.3× 19 485
Sergio Muñoz-Romero Spain 11 119 0.5× 34 0.3× 18 0.3× 41 0.7× 45 1.2× 46 488
Ignacio Molina United States 7 199 0.8× 56 0.5× 20 0.3× 14 0.2× 51 1.4× 15 467

Countries citing papers authored by Hendri Murfi

Since Specialization
Citations

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

Fields of papers citing papers by Hendri Murfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hendri Murfi

This figure shows the co-authorship network connecting the top 25 collaborators of Hendri Murfi. A scholar is included among the top collaborators of Hendri Murfi 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 Hendri Murfi. Hendri Murfi 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.
Murfi, Hendri, et al.. (2025). Analisis Performa Deep Embedded Clustering untuk Pendeteksian Topik. Techno Com. 24(1). 56–67.
2.
Murfi, Hendri, et al.. (2024). The hybrid of BERT and deep learning models for Indonesian sentiment analysis. Indonesian Journal of Electrical Engineering and Computer Science. 33(1). 591–591. 5 indexed citations
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Murfi, Hendri, et al.. (2022). The performance of BERT as data representation of text clustering. Journal Of Big Data. 9(1). 15–15. 78 indexed citations
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Murfi, Hendri, et al.. (2020). Gram-Schmidt Orthogonalization for Feature Ranking and Selection — A Case Study of Claim Prediction. International Journal of Machine Learning and Computing. 10(1). 57–62. 1 indexed citations
8.
Ramli, Kalamullah, et al.. (2020). Theme Mapping and Bibliometrics Analysis of One Decade of Big Data Research in the Scopus Database. Information. 11(2). 69–69. 54 indexed citations
9.
Murfi, Hendri, et al.. (2019). Deep Neural Network For Structured Data - A Case Study Of Mortality Rate Prediction Caused By Air Quality. Journal of Physics Conference Series. 1192. 12010–12010. 8 indexed citations
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Murfi, Hendri, et al.. (2019). Performance of Deep Neural Network for Tabular Data — A Case Study of Loss Cost Prediction in Fire Insurance. International Journal of Machine Learning and Computing. 9(6). 734–742. 5 indexed citations
12.
Sugeng, Kiki Ariyanti, et al.. (2018). Modification of architecture learning convolutional neural network for graph. AIP conference proceedings. 2023. 20200–20200. 1 indexed citations
13.
Murfi, Hendri, et al.. (2018). The accuracy of XGBoost for insurance claim prediction. 10(2). 159–171. 54 indexed citations
14.
Murfi, Hendri, et al.. (2017). Evaluation of the accuracy of transfer learning on sentiment analysis for Indonesian tweets. 2. 231–236. 1 indexed citations
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Murfi, Hendri, et al.. (2017). Analisis Penggunaan Metode Kernel Density Estimation pada Loss Distribution Approach untuk Risiko Operasional. SHILAP Revista de lepidopterología. 12(1). 11–11.
17.
Murfi, Hendri, et al.. (2016). The K-means with mini batch algorithm for topics detection on online news. 1–5. 13 indexed citations
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19.
Murfi, Hendri, et al.. (2013). A method to derive optimal decision boundary in SVM method for forest and non-forest classification in Indonesia. 2431–2442. 1 indexed citations
20.
Murfi, Hendri & Klaus Obermayer. (2009). A two-level learning hierarchy of concept based keyword extraction for tag recommendations. 497. 201–214. 10 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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