Jong-Chan Kim

721 total citations
33 papers, 455 citations indexed

About

Jong-Chan Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jong-Chan Kim has authored 33 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jong-Chan Kim's work include Photovoltaic System Optimization Techniques (6 papers), Solar Radiation and Photovoltaics (6 papers) and Video Surveillance and Tracking Methods (3 papers). Jong-Chan Kim is often cited by papers focused on Photovoltaic System Optimization Techniques (6 papers), Solar Radiation and Photovoltaics (6 papers) and Video Surveillance and Tracking Methods (3 papers). Jong-Chan Kim collaborates with scholars based in South Korea, Malaysia and China. Jong-Chan Kim's co-authors include Jun‐Ho Huh, Jae-Sub Ko, Sung-Wook Park, Se-Hoon Jung, Seong-Yoon Shin, Do-Yeon Kim, Taeha Ryu, Sangsung Park, Heung‐Kook Choi and Byung‐Gyu Kim and has published in prestigious journals such as Sensors, Sustainability and Energies.

In The Last Decade

Jong-Chan Kim

27 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong-Chan Kim South Korea 11 206 189 142 59 51 33 455
Xifeng Guo China 10 318 1.5× 158 0.8× 53 0.4× 75 1.3× 72 1.4× 41 510
Hangxia Zhou China 7 432 2.1× 308 1.6× 191 1.3× 54 0.9× 26 0.5× 17 581
Priti Das India 7 292 1.4× 227 1.2× 350 2.5× 75 1.3× 22 0.4× 32 593
Halil İbrahim Bülbül Türkiye 14 237 1.2× 129 0.7× 56 0.4× 99 1.7× 34 0.7× 58 492
Lhoussain Bahatti Morocco 13 225 1.1× 158 0.8× 88 0.6× 131 2.2× 72 1.4× 59 540
Pi-Yun Chen Taiwan 12 107 0.5× 112 0.6× 61 0.4× 58 1.0× 80 1.6× 46 415
Dahua Gan China 7 557 2.7× 152 0.8× 45 0.3× 97 1.6× 81 1.6× 8 660
Yu-Chen Wei Australia 9 88 0.4× 160 0.8× 107 0.8× 55 0.9× 96 1.9× 20 400
Joaquim Massana Spain 5 544 2.6× 115 0.6× 54 0.4× 119 2.0× 60 1.2× 11 643
Nouman Ashraf Pakistan 12 506 2.5× 169 0.9× 78 0.5× 112 1.9× 55 1.1× 40 772

Countries citing papers authored by Jong-Chan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jong-Chan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jong-Chan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jong-Chan Kim. A scholar is included among the top collaborators of Jong-Chan Kim 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-Chan Kim. Jong-Chan Kim 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.
Kim, Jong-Chan, et al.. (2025). Efficient Clustering Method for Graph Images Using Two-Stage Clustering Technique. Electronics. 14(6). 1232–1232. 1 indexed citations
2.
Kim, Byung‐Gyu, et al.. (2024). Analysis of Inverter Efficiency Using Photovoltaic Power Generation Element Parameters. Sensors. 24(19). 6390–6390.
3.
4.
Kim, Jong-Chan, et al.. (2023). Establishment of data mining-based public education administrative work automation system and student activity analysis. Journal of Autonomous Intelligence. 6(3). 3 indexed citations
5.
Huh, Jun‐Ho, et al.. (2023). Siamese Trackers Based on Deep Features for Visual Tracking. Electronics. 12(19). 4140–4140. 1 indexed citations
6.
Huh, Jun‐Ho, et al.. (2022). Solar Power Forecasting Using CNN-LSTM Hybrid Model. Energies. 15(21). 8233–8233. 118 indexed citations
7.
Park, Sung-Wook, et al.. (2020). Inverter Efficiency Analysis Model Based on Solar Power Estimation Using Solar Radiation. Processes. 8(10). 1225–1225. 38 indexed citations
8.
Park, Sung-Wook, Jun‐Ho Huh, & Jong-Chan Kim. (2020). BEGAN v3: Avoiding Mode Collapse in GANs Using Variational Inference. Electronics. 9(4). 688–688. 23 indexed citations
9.
Kim, Jong-Chan, Jun‐Ho Huh, & Jae-Sub Ko. (2020). Optimization Design and Test Bed of Fuzzy Control Rule Base for PV System MPPT in Micro Grid. Sustainability. 12(9). 3763–3763. 21 indexed citations
10.
Park, Sung-Wook, Jong-Chan Kim, & Do-Yeon Kim. (2019). A Study on Classification Performance Analysis of Convolutional Neural Network using Ensemble Learning Algorithm. Journal of Korea Multimedia Society. 22(6). 665–675. 7 indexed citations
11.
Ko, Jae-Sub, Jun‐Ho Huh, & Jong-Chan Kim. (2019). Improvement of Energy Efficiency and Control Performance of Cooling System Fan Applied to Industry 4.0 Data Center. Electronics. 8(5). 582–582. 20 indexed citations
12.
Jung, Se-Hoon & Jong-Chan Kim. (2019). Efficiency Improvement of Classification Model Based on Altered K-Means Using PCA and Outlier. International Journal of Software Engineering and Knowledge Engineering. 29(5). 693–713. 5 indexed citations
13.
Jung, Se-Hoon, et al.. (2016). Prediction Data Processing Scheme using an Artificial Neural Network and Data Clustering for Big Data. International Journal of Electrical and Computer Engineering (IJECE). 6(1). 330–330. 10 indexed citations
14.
Jung, Se-Hoon, et al.. (2016). Prediction Data Processing Scheme using an Artificial Neural Network and Data Clustering for Big Data. International Journal of Electrical and Computer Engineering (IJECE). 6(1). 330–330. 10 indexed citations
15.
Kim, Jong-Chan, et al.. (2014). Magic Mirror Fashion Coordination System using Kinect. Journal of Korea Multimedia Society. 17(11). 1374–1381. 2 indexed citations
16.
Kim, Jong-Chan, et al.. (2014). A Study on needs of Software Development for Korean Image Restoration through Cases of Classical Film Restoration. Journal of Korea Multimedia Society. 17(12). 1528–1536.
17.
Kim, Jong-Chan. (2012). Temporal and Spatial Variation and Characteristics of Ambient Air Quality in Urban Areas in Gyeonggi Province. Korean Journal of Environmental Health Sciences. 38(3). 269–276. 1 indexed citations
18.
Kim, Jong-Chan, et al.. (2011). A Study on 3D Panoramic Generation using Depth-map. The Journal of the Korea institute of electronic communication sciences. 6(6). 831–838.
19.
Kim, Jong-Chan, et al.. (2011). u-IT Based Plant Green Growth Environment Management System. The Journal of the Korean Institute of Information and Communication Engineering. 15(6). 1391–1396. 1 indexed citations
20.
Kim, Jong-Chan, et al.. (2010). An Object Representation System Using Virtual Space Coordinates. Journal of information and communication convergence engineering. 8(4). 411–415. 3 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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