Jun‐Dong Cho

2.3k total citations
180 papers, 1.7k citations indexed

About

Jun‐Dong Cho is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Jun‐Dong Cho has authored 180 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 41 papers in Computer Vision and Pattern Recognition and 38 papers in Cognitive Neuroscience. Recurrent topics in Jun‐Dong Cho's work include Tactile and Sensory Interactions (29 papers), VLSI and FPGA Design Techniques (24 papers) and Advanced Vision and Imaging (14 papers). Jun‐Dong Cho is often cited by papers focused on Tactile and Sensory Interactions (29 papers), VLSI and FPGA Design Techniques (24 papers) and Advanced Vision and Imaging (14 papers). Jun‐Dong Cho collaborates with scholars based in South Korea, China and United States. Jun‐Dong Cho's co-authors include Xiujian Chou, Jian He, Majid Sarrafzadeh, Wenping Geng, Xiaojuan Hou, Shuo Qian, Jiliang Mu, Chenyang Xue, Jie Zhu and Xushi Niu and has published in prestigious journals such as Nano Energy, RSC Advances and Journal of Alloys and Compounds.

In The Last Decade

Jun‐Dong Cho

160 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Dong Cho South Korea 19 633 498 397 309 296 180 1.7k
Simone Benatti Italy 25 1.3k 2.0× 697 1.4× 890 2.2× 81 0.3× 91 0.3× 98 2.3k
Gerhard Tröster Switzerland 16 595 0.9× 345 0.7× 130 0.3× 274 0.9× 61 0.2× 33 1.5k
Jukka Vanhala Finland 19 757 1.2× 546 1.1× 142 0.4× 98 0.3× 137 0.5× 83 1.4k
Aftab M. Hussain Saudi Arabia 22 1.6k 2.6× 1.1k 2.2× 330 0.8× 402 1.3× 316 1.1× 147 2.5k
Fulvio Mastrogiovanni Italy 23 543 0.9× 108 0.2× 361 0.9× 217 0.7× 35 0.1× 145 1.6k
Tom Martin United States 12 350 0.6× 142 0.3× 95 0.2× 100 0.3× 121 0.4× 43 690
Franklin Bien South Korea 24 2.0k 3.2× 2.0k 4.1× 371 0.9× 250 0.8× 505 1.7× 119 3.4k
Marco Maggiali Italy 18 1.1k 1.7× 219 0.4× 706 1.8× 213 0.7× 131 0.4× 45 1.5k
Filomena Soares Portugal 20 210 0.3× 108 0.2× 430 1.1× 70 0.2× 342 1.2× 243 1.6k
Sungmee Park United States 13 686 1.1× 302 0.6× 63 0.2× 65 0.2× 232 0.8× 31 1.1k

Countries citing papers authored by Jun‐Dong Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Dong Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Dong Cho. 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 Jun‐Dong Cho. The network helps show where Jun‐Dong Cho may publish in the future.

Co-authorship network of co-authors of Jun‐Dong Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Dong Cho. A scholar is included among the top collaborators of Jun‐Dong Cho 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 Jun‐Dong Cho. Jun‐Dong Cho 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.
Kang, Jae-Hwan, et al.. (2022). Touch the color change: Representation of color change using tactile grating patterns.. Psychology of Aesthetics Creativity and the Arts. 18(6). 978–987.
2.
Shin, Jitae, et al.. (2022). AI Ekphrasis: Multi-Modal Learning with Foundation Models for Fine-Grained Poetry Retrieval. Electronics. 11(8). 1275–1275. 1 indexed citations
3.
Cho, Jun‐Dong, et al.. (2021). ColorWatch: Color Perceptual Spatial Tactile Interface for People with Visual Impairments. Electronics. 10(5). 596–596. 8 indexed citations
4.
Cho, Jun‐Dong, et al.. (2020). Analysis of the Needs of People with Visual Impairments to Acquire Information When Appreciating an Artwork. 36(4). 23–51. 1 indexed citations
5.
Kim, Young Jun, et al.. (2020). Convergence evaluation method using multisensory and matching painting and music using deep learning based on imaginary soundscape. Journal of the Korean Chemical Society. 11(11). 175–182. 1 indexed citations
6.
Kim, Sun Hee, et al.. (2019). A Study on Creating Barrier-Free Exhibition Appreciation Environment based on the Visually Impaired Person's Perspectives. Journal of the Korean Chemical Society. 10(8). 265–276. 1 indexed citations
7.
Cho, Jun‐Dong, et al.. (2019). Indoor Positioning System: A New Approach Based on LSTM and Two Stage Activity Classification. Electronics. 8(4). 375–375. 30 indexed citations
8.
Kim, Sang-Won, et al.. (2019). An art exhibition needs assessment survey of persons with visual impairment. Asia-pacific Journal of Multimedia services convergent with Art, Humanities, and Sociology. 9(1). 457–466. 3 indexed citations
9.
Zhang, Jing, Wei Jia, Jian He, et al.. (2018). Controlled spalling and flexible integration of PZT film based on LaNiO3 buffer layer. Ceramics International. 45(5). 6373–6379. 16 indexed citations
10.
Cho, Jun‐Dong, et al.. (2014). Guidelines for a baby's nutrition monitoring system. International Conference on Human-Computer Interaction. 92–97.
11.
Kim, Jong-Hak, et al.. (2012). Processor power simulator for low power code generation using look up table. 550–553. 1 indexed citations
12.
Kim, Jong-Hak, et al.. (2011). Measurement of Level of Stereoscopic Visual Fatigue for User Discomfort Improvement. Journal of the Institute of Electronics Engineers of Korea. 48(10). 20–24. 2 indexed citations
13.
Cho, Jun‐Dong, et al.. (2011). Hardware mass object analyser implementation for stereo camera. 1–3. 1 indexed citations
14.
Cho, Jun‐Dong, et al.. (2009). Implementation of Accurate Peak Detection with Flexible Parameters for Implantable Cardioverter Defibrillator. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 480–483. 2 indexed citations
15.
Cho, Jun‐Dong, et al.. (2009). Switch Architecture and Routing Optimization Strategy Using Optical Interconnects for Network-on-Chip. Journal of the Institute of Electronics Engineers of Korea. 46(9). 25–32.
16.
Kim, Soohyun, et al.. (2006). Design Methodology for Static Timing Analysis of Designs including Clock Meshes. 대한전자공학회 ISOCC. 596–599. 1 indexed citations
17.
Kim, Min Woo, et al.. (2006). A Bit-level ACSU For High Speed Viterbi Decoder. JSTS Journal of Semiconductor Technology and Science. 6(4). 240–245. 1 indexed citations
18.
Lee, Sukhan, et al.. (2005). Variable Pulse Mode Driving IR Source Based 3D Robotic Camera. Machine Vision and Applications. 530–533.
19.
Cho, Jun‐Dong, et al.. (1999). A High-Speed, Low-Power Phase Frequency Detector and Charge-Pump Circuits for High Frequency Phase-Locked Loops (Special Section on VLSI Design and CAD Algorithms). IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 82(11). 2514–2520. 3 indexed citations
20.
Kim, Sang‐Ha, et al.. (1997). Deep-Submicron Rectilinear Steiner Tree Problem. 5. 241–243. 1 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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