Jong-Seong Park

695 total citations
8 papers, 518 citations indexed

About

Jong-Seong Park is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jong-Seong Park has authored 8 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jong-Seong Park's work include Energy Load and Power Forecasting (3 papers), Neural Networks and Applications (2 papers) and Grey System Theory Applications (1 paper). Jong-Seong Park is often cited by papers focused on Energy Load and Power Forecasting (3 papers), Neural Networks and Applications (2 papers) and Grey System Theory Applications (1 paper). Jong-Seong Park collaborates with scholars based in South Korea, United States and Pakistan. Jong-Seong Park's co-authors include K.Y. Lee, Y.T. Cha, Seung Hwan Lee, Israa Al Barazanchi, Premkumar Vincent, H.S. Cho, Wahidah Hashim, Muhammad Awais, H. Bae and Jihun Park and has published in prestigious journals such as Scientific Reports, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Jong-Seong Park

4 papers receiving 473 citations

Peers

Countries citing papers authored by Jong-Seong Park

Since Specialization

Citations

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

Fields of papers citing papers by Jong-Seong Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong-Seong Park. 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 Jong-Seong Park. The network helps show where Jong-Seong Park may publish in the future.

Co-authorship network of co-authors of Jong-Seong Park

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Physics-informed neural network for long-term prognostics of proton exchange membrane fuel cells 2025 ·Applied Energy ·(unknown), (unknown), Jong-Seong Park, Seung Hwan Lee	16
2	Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting 2025 ·Scientific Reports ·H. Bae, Jong-Seong Park, (unknown), Hyuk-Yoon Kwon	0
3	Large-Scale Training in Neural Compact Models for Accurate and Adaptable MOSFET Simulation 2024 ·IEEE Journal of the Electron Devices Society ·(unknown), (unknown), Jong-Seong Park, (unknown), Jihun Park, (unknown), Jongwook Jeon, H.S. Cho	1
4	An expert system for leukocyte classification using probabilistic deep feature optimization via distribution estimation 2024 ·International Journal of Applied Mathematics and Computer Science ·Muhammad Awais, Tallha Akram, Areej Alasiry, Mehrez Marzougui, Jong-Seong Park, (unknown)	0
5	Optimizing the Clinical Decision Support System (CDSS) by Using Recurrent Neural Network (RNN) Language Models for Real-Time Medical Query Processing 2024 ·Computers, materials & continua/Computers, materials & continua (Print) ·Wahidah Hashim, (unknown), Israa Al Barazanchi, (unknown), (unknown), Jong-Seong Park, (unknown)	0
6	Accelerating DTCO with a Sample-Efficient Active Learning Framework for TCAD Device Modeling 2024 ·(unknown), Jong-Seong Park, Premkumar Vincent, H.S. Cho	1
7	Short-term load forecasting using diagonal recurrent neural network 2002 ·K.Y. Lee, (unknown), (unknown), Jong-Seong Park	15
8	Short-term load forecasting using an artificial neural network 1992 ·IEEE Transactions on Power Systems ·K.Y. Lee, Y.T. Cha, Jong-Seong Park	485

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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