Seungwon Jung

659 total citations
16 papers, 472 citations indexed

About

Seungwon Jung is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Epidemiology. According to data from OpenAlex, Seungwon Jung has authored 16 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 4 papers in Epidemiology. Recurrent topics in Seungwon Jung's work include Energy Load and Power Forecasting (7 papers), Anomaly Detection Techniques and Applications (7 papers) and Data-Driven Disease Surveillance (4 papers). Seungwon Jung is often cited by papers focused on Energy Load and Power Forecasting (7 papers), Anomaly Detection Techniques and Applications (7 papers) and Data-Driven Disease Surveillance (4 papers). Seungwon Jung collaborates with scholars based in South Korea, Egypt and Türkiye. Seungwon Jung's co-authors include Eenjun Hwang, Sungwoo Park, Seungmin Rho, Jihoon Moon, Seungmin Jung, Jehyeok Rew, Sung Wook Baik, Mohammed H. Alsharif, Mohanad A. Deif and Ahmed Solyman and has published in prestigious journals such as IEEE Access, Sensors and Energy and Buildings.

In The Last Decade

Seungwon Jung

16 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seungwon Jung South Korea	11	255	167	87	61	55	16	472
Aqsa Saeed Qureshi Pakistan	5	206 0.8×	212 1.3×	19 0.2×	35 0.6×	28 0.5×	5	488
Deqiang Kong China	5	107 0.4×	106 0.6×	75 0.9×	77 1.3×	65 1.2×	7	452
Yonghong Luo China	8	200 0.8×	257 1.5×	59 0.7×	38 0.6×	32 0.6×	19	568
Anna Diva P. Lotufo Brazil	14	339 1.3×	150 0.9×	33 0.4×	82 1.3×	23 0.4×	41	543
Jérémie Bottieau Belgium	11	427 1.7×	102 0.6×	23 0.3×	59 1.0×	14 0.3×	19	509
Mohammad Navid Fekri Canada	6	396 1.6×	203 1.2×	138 1.6×	53 0.9×	50 0.9×	8	601
C. Senabre Spain	9	471 1.8×	99 0.6×	67 0.8×	65 1.1×	41 0.7×	35	562
Xifeng Guo China	10	318 1.2×	158 0.9×	37 0.4×	71 1.2×	25 0.5×	41	510
Renzhuo Wan China	6	99 0.4×	70 0.4×	36 0.4×	70 1.1×	38 0.7×	11	304
Samira Chabaa Morocco	11	226 0.9×	163 1.0×	58 0.7×	40 0.7×	40 0.7×	56	435

Countries citing papers authored by Seungwon Jung

Since Specialization

Citations

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

Fields of papers citing papers by Seungwon Jung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungwon Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Seungwon Jung. A scholar is included among the top collaborators of Seungwon Jung 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 Seungwon Jung. Seungwon Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Jung, Seungwon, et al.. (2023). RESEAT: Recurrent Self-Attention Network for Multi-Regional Influenza Forecasting. IEEE Journal of Biomedical and Health Informatics. 27(5). 2585–2596. 3 indexed citations

Jung, Seungwon, et al.. (2023). Anomaly detection using a model-agnostic meta-learning-based variational auto-encoder for facility management. Journal of Building Engineering. 68. 106099–106099. 18 indexed citations

Park, Sungwoo, et al.. (2023). Explainable influenza forecasting scheme using DCC-based feature selection. Data & Knowledge Engineering. 149. 102256–102256. 2 indexed citations

Jung, Seungwon, et al.. (2022). VAPER: A deep learning model for explainable probabilistic regression. Journal of Computational Science. 63. 101824–101824. 3 indexed citations

Jung, Seungwon, et al.. (2021). Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting. IEEE Journal of Biomedical and Health Informatics. 26(2). 922–933. 20 indexed citations

Deif, Mohanad A., Ahmed Solyman, Mohammed H. Alsharif, Seungwon Jung, & Eenjun Hwang. (2021). A Hybrid Multi-Objective Optimizer-Based SVM Model for Enhancing Numerical Weather Prediction: A Study for the Seoul Metropolitan Area. Sustainability. 14(1). 296–296. 24 indexed citations

Jung, Seungwon, et al.. (2021). Machine Learning-Based Two-Stage Data Selection Scheme for Long-Term Influenza Forecasting. Computers, materials & continua/Computers, materials & continua (Print). 68(3). 2945–2959. 6 indexed citations

Jung, Seungwon, et al.. (2021). BCGAN: A CGAN-based over-sampling model using the boundary class for data balancing. The Journal of Supercomputing. 77(9). 10463–10487. 12 indexed citations

Park, Sungwoo, Seungmin Jung, Seungwon Jung, Seungmin Rho, & Eenjun Hwang. (2021). Sliding window-based LightGBM model for electric load forecasting using anomaly repair. The Journal of Supercomputing. 77(11). 12857–12878. 47 indexed citations

10.

Jung, Seungwon, et al.. (2020). Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting. IEEE Access. 8. 205327–205339. 64 indexed citations

11.

Jung, Seungwon, et al.. (2020). Cluster-Based Analysis of Infectious Disease Occurrences Using Tensor Decomposition: A Case Study of South Korea. International Journal of Environmental Research and Public Health. 17(13). 4872–4872. 3 indexed citations

12.

Jung, Seungmin, Sungwoo Park, Seungwon Jung, & Eenjun Hwang. (2020). Monthly Electric Load Forecasting Using Transfer Learning for Smart Cities. Sustainability. 12(16). 6364–6364. 60 indexed citations

13.

Jung, Seungwon, Jihoon Moon, Sungwoo Park, et al.. (2020). Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation. Sensors. 20(6). 1772–1772. 51 indexed citations

14.

Park, Sungwoo, Jihoon Moon, Seungwon Jung, et al.. (2020). A Two-Stage Industrial Load Forecasting Scheme for Day-Ahead Combined Cooling, Heating and Power Scheduling. Energies. 13(2). 443–443. 31 indexed citations

15.

Moon, Jihoon, Seungwon Jung, Jehyeok Rew, Seungmin Rho, & Eenjun Hwang. (2020). Combination of short-term load forecasting models based on a stacking ensemble approach. Energy and Buildings. 216. 109921–109921. 117 indexed citations

16.

Kim, Yongsung, et al.. (2018). IoT-based personalized NIE content recommendation system. Multimedia Tools and Applications. 78(3). 3009–3043. 11 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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