Truong

532 total citations
12 papers, 341 citations indexed

About

Truong is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Truong has authored 12 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 6 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Truong's work include Numerical Methods and Algorithms (6 papers), Coding theory and cryptography (6 papers) and Digital Filter Design and Implementation (5 papers). Truong is often cited by papers focused on Numerical Methods and Algorithms (6 papers), Coding theory and cryptography (6 papers) and Digital Filter Design and Implementation (5 papers). Truong collaborates with scholars based in United States. Truong's co-authors include R Reed, Ke Wang, Pei Pei, Hằng, van, Jensen, Hsu - and Yuh-Shihng Chang and has published in prestigious journals such as IEEE Transactions on Computers, Murdoch Research Repository (Murdoch University) and Acta Scientiarum Naturalium Universitatis Sunyatseni.

In The Last Decade

Truong

9 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Truong United States 5 282 138 116 95 74 12 341
I. Onyszchuk United States 6 320 1.1× 265 1.9× 118 1.0× 79 0.8× 54 0.7× 12 388
F. Barsi Italy 10 169 0.6× 173 1.3× 115 1.0× 148 1.6× 48 0.6× 24 310
Alexander W. Dent United Kingdom 6 316 1.1× 206 1.5× 41 0.4× 120 1.3× 59 0.8× 15 383
A. Skavantzos United States 12 314 1.1× 349 2.5× 93 0.8× 31 0.3× 136 1.8× 47 433
Maozhi Xu China 10 211 0.7× 117 0.8× 61 0.5× 83 0.9× 39 0.5× 53 291
Song Y. Yan United Kingdom 9 181 0.6× 85 0.6× 30 0.3× 38 0.4× 52 0.7× 34 255
Murat Cenk Türkiye 9 173 0.6× 149 1.1× 25 0.2× 44 0.5× 50 0.7× 26 244
Nick Howgrave-Graham United States 6 164 0.6× 60 0.4× 81 0.7× 82 0.9× 22 0.3× 9 229
G.L. Feng United States 9 484 1.7× 105 0.8× 316 2.7× 128 1.3× 154 2.1× 16 524

Countries citing papers authored by Truong

Since Specialization
Citations

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

Fields of papers citing papers by Truong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Truong

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

All Works

12 of 12 papers shown
1.
Hằng, et al.. (2016). A Combination Method of Differential Evolution Algorithm and Neural Network for Automatic Identification Oil Spill at Vietnam East Sea. Acta Scientiarum Naturalium Universitatis Sunyatseni. 4(4). 184–193. 3 indexed citations
2.
Truong, et al.. (1993). An unsupervised learning algorithm for the classification and determination of proportion mix of wheat varieties. Murdoch Research Repository (Murdoch University). 1 indexed citations
3.
Truong, et al.. (1987). A Complex Integer Multiplier Using the Quadratic-Polynomial Residue Number System with Numbers of Form 22n+ 1. IEEE Transactions on Computers. C-36(10). 1255–1258. 4 indexed citations
4.
Truong, Yuh-Shihng Chang, Hsu -, Pei Pei, & R Reed. (1986). Techniques for Computing the Discrete Fourier Transform Using the Quadratic Residue Fermat Number Systems. IEEE Transactions on Computers. C-35(11). 1008–1012. 7 indexed citations
5.
Reed, R, et al.. (1986). The VLSI Design of an Error-Trellis Syndrome Decoder for Certain Convolutional Codes. IEEE Transactions on Computers. C-35(9). 781–789. 3 indexed citations
6.
Truong, et al.. (1985). A VLSI Design of a Pipeline Reed-Solomon Decoder. IEEE Transactions on Computers. C-34(5). 393–403. 148 indexed citations
7.
Reed, R, et al.. (1984). The VLSI Implementation of a Reed—Solomon Encoder Using Berlekamp's Bit-Serial Multiplier Algorithm. IEEE Transactions on Computers. C-33(10). 906–911. 20 indexed citations
8.
Reed, R, et al.. (1984). Systolic Multipliers for Finite Fields GF(2m). IEEE Transactions on Computers. C-33(4). 357–360. 126 indexed citations
9.
Truong, et al.. (1983). A Parallel-Pipeline Architecture of the Fast Polynomial Transform for Computing a Two-Dimensional Cyclic Convolution. IEEE Transactions on Computers. C-32(3). 301–306. 1 indexed citations
10.
Reed, R, et al.. (1981). Addendum to "A New Hybrid Algorithm for Computing a Fast Discrete Fourier Transform". IEEE Transactions on Computers. C-30(6). 453–454. 1 indexed citations
11.
Reed, R & Truong. (1979). A New Hybrid Algorithm for Computing a Fast Discrete Fourier Transform. IEEE Transactions on Computers. C-28(7). 487–492. 4 indexed citations
12.
Reed, R, et al.. (1977). Image Processing by Transforms Over a Finite Field. IEEE Transactions on Computers. C-26(9). 874–881. 23 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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