Tae‐Gyu Chang

1.8k total citations · 1 hit paper
77 papers, 1.2k citations indexed

About

Tae‐Gyu Chang is a scholar working on Electrical and Electronic Engineering, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tae‐Gyu Chang has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 24 papers in Signal Processing and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tae‐Gyu Chang's work include Advanced Data Compression Techniques (10 papers), Speech and Audio Processing (9 papers) and Advanced Adaptive Filtering Techniques (9 papers). Tae‐Gyu Chang is often cited by papers focused on Advanced Data Compression Techniques (10 papers), Speech and Audio Processing (9 papers) and Advanced Adaptive Filtering Techniques (9 papers). Tae‐Gyu Chang collaborates with scholars based in South Korea, Malaysia and United States. Tae‐Gyu Chang's co-authors include Mamun Bin Ibne Reaz, Kalaivani Chellappan, Rafi Hassan Chowdhury, Mohd Helmi Ali, Sen M. Kuo, José C. Prı́ncipe, Sunit Gala, Labonnah Farzana Rahman, Mohammad Arif Sobhan Bhuiyan and Jubayer Jalil and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Tae‐Gyu Chang

69 papers receiving 1.1k citations

Hit Papers

Surface Electromyography Signal Processing and Classifica... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae‐Gyu Chang South Korea 12 715 438 212 175 165 77 1.2k
Beth Jelfs United Kingdom 15 383 0.5× 339 0.8× 78 0.4× 127 0.7× 178 1.1× 47 892
Hans Hallez Belgium 21 287 0.4× 815 1.9× 214 1.0× 179 1.0× 137 0.8× 133 1.7k
David E. Thompson United States 21 309 0.4× 653 1.5× 191 0.9× 50 0.3× 447 2.7× 68 1.4k
Marco P. Schoen United States 14 496 0.7× 275 0.6× 85 0.4× 39 0.2× 158 1.0× 107 1.0k
Muhammad Ibn Ibrahimy Malaysia 18 641 0.9× 449 1.0× 425 2.0× 162 0.9× 136 0.8× 132 1.4k
Christine Servière France 13 622 0.9× 413 0.9× 26 0.1× 276 1.6× 225 1.4× 40 1.1k
Hong Zeng China 18 263 0.4× 590 1.3× 131 0.6× 162 0.9× 274 1.7× 77 1.3k
Zhizeng Luo China 20 584 0.8× 703 1.6× 112 0.5× 112 0.6× 182 1.1× 108 1.4k
Shuai Cao China 19 555 0.8× 339 0.8× 193 0.9× 91 0.5× 108 0.7× 48 990
Hyun‐Chool Shin South Korea 18 310 0.4× 261 0.6× 238 1.1× 473 2.7× 129 0.8× 87 1.3k

Countries citing papers authored by Tae‐Gyu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Gyu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Gyu Chang. 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 Tae‐Gyu Chang. The network helps show where Tae‐Gyu Chang may publish in the future.

Co-authorship network of co-authors of Tae‐Gyu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Gyu Chang. A scholar is included among the top collaborators of Tae‐Gyu Chang 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 Tae‐Gyu Chang. Tae‐Gyu Chang 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.
Reaz, Mamun Bin Ibne, et al.. (2015). A low power serial output flash ADC in 0,18 µm CMOS process. Tehnicki vjesnik - Technical Gazette. 22(6). 1 indexed citations
2.
Marufuzzaman, Mohammad, Mamun Bin Ibne Reaz, Labonnah Farzana Rahman, & Tae‐Gyu Chang. (2014). A high speed current dq PI controller for PMSM drive. Tehnicki vjesnik - Technical Gazette. 21(3). 467–470. 3 indexed citations
3.
Amin, Md. Syedul, et al.. (2014). Izbor i postavljanje senzora za otkrivanje sudara vozila. Tehnicki vjesnik - Technical Gazette. 21(4). 889–896. 7 indexed citations
4.
Lee, Eun‐Seo, et al.. (2014). Multi-symbol Accessing Huffman Decoding Method for MPEG-2 AAC. Journal of Electrical Engineering and Technology. 9(4). 1411–1417. 2 indexed citations
5.
Marufuzzaman, Mohammad, Mamun Bin Ibne Reaz, Labonnah Farzana Rahman, & Tae‐Gyu Chang. (2014). FPGA Based Precise and High Speed Current dq PI Controller for FOC PMSM Drive. Current Nanoscience. 10(3). 394–401. 1 indexed citations
6.
Jalil, Jubayer, Mamun Bin Ibne Reaz, Mohd Alauddin Mohd Ali, & Tae‐Gyu Chang. (2013). A Low Power 3-Stage Voltage-Controlled Ring Oscillator in 0.18 µm CMOS Process for Active RFID Transponder. Elektronika ir Elektrotechnika. 19(8). 69–72. 12 indexed citations
7.
Lee, Eun‐Seo, et al.. (2013). Compacted codeword Huffman decoding method for MPEG-2 AAC decoder. 478–479. 2 indexed citations
8.
Kim, Donghwan, et al.. (2011). SVC Based Multi-channel Transmission of High Definition Multimedia and Its Improved Service Efficiency. Journal of IKEEE. 15(2). 179–189. 1 indexed citations
9.
Park, Minwoo, et al.. (2009). A new structure for the flexible intelligent electronic device (IED). ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 631–632. 2 indexed citations
10.
Groşan, Crina, et al.. (2006). Evolving Neural Networks for Pharmaceutical Research. 1. 13–19. 4 indexed citations
11.
Cao, Qunsheng, et al.. (2006). Design and analysis of integrated-circuit package antenna (ICPA) for dual-band wireless transceivers. International Journal of RF and Microwave Computer-Aided Engineering. 16(3). 250–258. 2 indexed citations
12.
Ertürk, S. & Tae‐Gyu Chang. (2006). Wavelet domain one-bit transform for low-complexity motion estimation. 4–4. 1 indexed citations
13.
Chang, Tae‐Gyu, et al.. (2005). A Power Reduction Technique based on the Microscopic Dynamic Voltage Scaling(DVS) of Multimedia Signal Processors. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 231–232.
14.
Kim, Byoung-Il, et al.. (2003). Power-line phase measurement algorithm based on the sliding-DFT. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 33–36. 1 indexed citations
15.
Kim, Jae-Hwa, et al.. (2003). WCDMA Reverse Link Beamforming Algorithm and Its Performance Simulation. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 390–393.
16.
Chang, Tae‐Gyu, J. R. Smith, & J.C. Principe. (2003). A layered processing model for knowledge-based contextual interpretation of multichannel EEG/EOG signals. 12. 239–243. 3 indexed citations
17.
Kim, Byeongil, et al.. (2002). An efficient search of binary tree for huffman decoding based on numeric interpretation of codewords. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 134–137. 1 indexed citations
18.
Prı́ncipe, José C., Tae‐Gyu Chang, Sunit Gala, & Ana Maria Tomé. (1993). Information processing models for sleep staging. Expert Systems with Applications. 6(4). 399–409. 4 indexed citations
19.
Chang, Tae‐Gyu, Jack R. Smith, & José C. Prı́ncipe. (1989). An expert system for multichannel sleep EEG/EOG signal analysis. ISA Transactions. 28(1). 45–51. 8 indexed citations
20.
Chang, Tae‐Gyu & Jack R. Smith. (1987). Development of an expert system for multichannel eeg signal analysis. University of Florida Digital Collections (University of Florida). 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026