Seng Hansun

1.4k total citations
124 papers, 912 citations indexed

About

Seng Hansun is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Seng Hansun has authored 124 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Information Systems, 49 papers in Artificial Intelligence and 29 papers in Management Science and Operations Research. Recurrent topics in Seng Hansun's work include Multimedia Learning Systems (36 papers), Edcuational Technology Systems (36 papers) and Data Mining and Machine Learning Applications (26 papers). Seng Hansun is often cited by papers focused on Multimedia Learning Systems (36 papers), Edcuational Technology Systems (36 papers) and Data Mining and Machine Learning Applications (26 papers). Seng Hansun collaborates with scholars based in Indonesia, Australia and United Kingdom. Seng Hansun's co-authors include Subanar Subanar, A.Q.M. Khaliq, Vincent Charles, Siaw‐Teng Liaw, Guy B. Marks, Branko G. Celler, Ahmadreza Argha, Tatiana Gherman, Richard R. John and Vijayakumar Varadarajan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Heliyon.

In The Last Decade

Seng Hansun

110 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seng Hansun Indonesia 15 396 315 208 108 99 124 912
Prateek Pandey India 17 371 0.9× 143 0.5× 124 0.6× 74 0.7× 50 0.5× 52 716
Lidong Wang China 15 157 0.4× 335 1.1× 220 1.1× 49 0.5× 47 0.5× 88 995
Muhammad Zarlis Indonesia 15 478 1.2× 401 1.3× 43 0.2× 77 0.7× 30 0.3× 279 1.1k
Benjamin Asubam Weyori Ghana 15 135 0.3× 250 0.8× 497 2.4× 48 0.4× 196 2.0× 60 1.2k
Hossein Abbasimehr Iran 16 116 0.3× 416 1.3× 264 1.3× 54 0.5× 87 0.9× 34 1.2k
Dennis M. Buede United States 15 128 0.3× 296 0.9× 400 1.9× 97 0.9× 75 0.8× 86 1.2k
Jianli Zhao China 15 210 0.5× 134 0.4× 43 0.2× 96 0.9× 65 0.7× 72 685
Brahim Ouhbi Morocco 16 149 0.4× 299 0.9× 170 0.8× 38 0.4× 31 0.3× 75 704
Seppe vanden Broucke Belgium 15 194 0.5× 332 1.1× 109 0.5× 196 1.8× 47 0.5× 59 824
Chen-Hao Liu Taiwan 9 88 0.2× 351 1.1× 519 2.5× 41 0.4× 169 1.7× 16 913

Countries citing papers authored by Seng Hansun

Since Specialization
Citations

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

Fields of papers citing papers by Seng Hansun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seng Hansun

This figure shows the co-authorship network connecting the top 25 collaborators of Seng Hansun. A scholar is included among the top collaborators of Seng Hansun 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 Seng Hansun. Seng Hansun 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.
Hansun, Seng, Ahmadreza Argha, Ivan Bakhshayeshi, et al.. (2025). Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review. PubMed Central. 27. e69068–e69068.
2.
Hansun, Seng, Ahmadreza Argha, Hamid Alinejad‐Rokny, et al.. (2024). A New Ensemble Transfer Learning Approach With Rejection Mechanism for Tuberculosis Disease Detection. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(4). 433–446. 1 indexed citations
3.
Hansun, Seng, Vincent Charles, & Tatiana Gherman. (2023). The role of the mass vaccination programme in combating the COVID-19 pandemic: An LSTM-based analysis of COVID-19 confirmed cases. Heliyon. 9(3). e14397–e14397. 4 indexed citations
4.
Hansun, Seng, et al.. (2022). On searching the best mode for forex forecasting: bidirectional long short-term memory default mode is not enough. IAES International Journal of Artificial Intelligence. 11(4). 1596–1596. 3 indexed citations
5.
Hansun, Seng, et al.. (2021). Predicting LQ45 financial sector indices using RNN-LSTM. Journal Of Big Data. 8(1). 39 indexed citations
6.
Hansun, Seng, et al.. (2021). Gold price prediction in covid-19 era. Computational intelligence. 13(2). 29–34. 5 indexed citations
7.
Hansun, Seng, et al.. (2020). PEMBANGUNAN GAME 3D HORROR DENGAN ALGORITMA A* DAN TEKNOLOGI VIRTUAL REALITY. 3(2). 1 indexed citations
8.
Hansun, Seng, et al.. (2020). Pembangunan Aplikasi Latihan Soal IPA SD dengan Gamifikasi dan Mersenne Twister. SHILAP Revista de lepidopterología. 7(1). 87–98. 2 indexed citations
9.
Hansun, Seng. (2020). Prediction case notification rates for tuberculosis in eight countries. Journal of Hunan University. 47(9). 1 indexed citations
10.
Hansun, Seng, et al.. (2019). LSTM-RNN Automotive Stock Price Prediction. International journal of scientific and technology research. 8(9). 173–176. 5 indexed citations
11.
Hansun, Seng, et al.. (2019). Position Placement Dss Using Profile Matching And Analytical Hierarchy Process. International journal of scientific and technology research. 8(11). 204–207. 3 indexed citations
12.
Hansun, Seng, et al.. (2019). H uman D evelopment I ndex Forecasting using Exponentially Weighted Moving Average. International Journal of Engineering and Advanced Technology. 8(6). 1509–1514. 2 indexed citations
13.
Hansun, Seng, et al.. (2019). Line Bot Chat Filtering using Naïve Bayes Algorithm. International Journal of Innovative Technology and Exploring Engineering. 8(12). 4877–4882. 1 indexed citations
14.
Hansun, Seng, et al.. (2019). Central Jakarta Rainfall Intensity Forecast using Single Exponential Smoothing. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 2105–2108. 1 indexed citations
15.
Hansun, Seng, et al.. (2019). Expert System for Chili Plants Disease Detection using Certainty Factor Method. International Journal of Innovative Technology and Exploring Engineering. 9(1). 1145–1151. 2 indexed citations
16.
Hansun, Seng, et al.. (2018). Rancang Bangun Aplikasi E-RT Di Kelurahan Periuk Kota Tangerang. Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR). 1. 132–142. 1 indexed citations
17.
Hansun, Seng, et al.. (2018). SISTEM REKOMENDASI LOWONGAN KERJA DENGAN GLASSDOOR API DAN METODE SIMPLE ADDITIVE WEIGHTING. 7(26). 1 indexed citations
18.
Hansun, Seng, et al.. (2017). PREDIKSI KELAYAKAN MASUK PENJURUSAN IPA SISWA SEKOLAH MENENGAH ATAS MENGGUNAKAN C4.5 (Studi Kasus: SMA Tarakanita Gading Serpong). SHILAP Revista de lepidopterología.
19.
Hansun, Seng, et al.. (2017). Penerapan Algoritma C4.5 untuk Memprediksi Penerimaan Calon Pegawai Baru di PT WISE. JATISI (Jurnal Teknik Informatika dan Sistem Informasi). 3(2). 95–103. 28 indexed citations
20.
Hansun, Seng. (2014). A Novel Research of New Moving Average Method in Time Series Analysis. 1(1). 22–26. 5 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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