I‐Chang Jou

405 total citations
29 papers, 283 citations indexed

About

I‐Chang Jou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, I‐Chang Jou has authored 29 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in I‐Chang Jou's work include Neural Networks and Applications (6 papers), Coding theory and cryptography (5 papers) and Cryptography and Residue Arithmetic (5 papers). I‐Chang Jou is often cited by papers focused on Neural Networks and Applications (6 papers), Coding theory and cryptography (5 papers) and Cryptography and Residue Arithmetic (5 papers). I‐Chang Jou collaborates with scholars based in Taiwan, United States and Russia. I‐Chang Jou's co-authors include Suh-Yin Lee, Chiou‐Yng Lee, Jenq–Neng Hwang, Shyh-Rong Lay, Yu Hen Hu, Shih‐Chang Hsia, Weichang Du, Chung‐Yu Wu, L. J. Chang and Shiang‐Bin Jong and has published in prestigious journals such as Proceedings of the IEEE, Pattern Recognition and IEEE Transactions on Computers.

In The Last Decade

I‐Chang Jou

23 papers receiving 254 citations

Peers

Countries citing papers authored by I‐Chang Jou

Since Specialization

Citations

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

Fields of papers citing papers by I‐Chang Jou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I‐Chang Jou

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Digital Watermarking of MOCAP Data Based on Singular Value Decomposition 2008 ·(unknown), (unknown), Meei-Ling Hung, (unknown), I‐Chang Jou	0
2	Multiple Description Watermarking Based on Quantization Index Modulus Modulation 2007 ·Journal of information science and engineering ·(unknown), Suh-Yin Lee, I‐Chang Jou	3
3	Toward Blind Robust Watermarking of Vector Maps 2006 ·(unknown), Weichang Du, I‐Chang Jou	7
4	Low-Complexity Bit-Parallel Multiplier over GF(2m) Using Dual Basis Representation 2006 ·Journal of Computer Science and Technology ·Chiou‐Yng Lee, (unknown), I‐Chang Jou	4
5	Low-complexity bit-parallel systolic Montgomery multipliers for special classes of GF(2/sup m/) 2005 ·IEEE Transactions on Computers ·Chiou‐Yng Lee, (unknown), I‐Chang Jou, (unknown)	72
6	Quantitative computer image analysis of serum α-fetoprotein rapid gold immunochromatographic dipstick assay 2004 ·L. J. Chang, (unknown), (unknown), I‐Chang Jou, Shiang‐Bin Jong	5
7	The characteristic comparison of fully differential switched capacitor biquads 2003 ·I‐Chang Jou, (unknown), (unknown)	0
8	A Gray Level Watermarking Algorithm Using Double Layer Hidden Approach 2002 ·IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ·Shih‐Chang Hsia, I‐Chang Jou, (unknown)	9
9	A new feature extraction method by neural networks 2002 ·I‐Chang Jou, (unknown), Shwu‐Chen Tsay	0
10	The CMOS design of robust neural chip with the on-chip learning capability 2002 ·Chung‐Yu Wu, (unknown), I‐Chang Jou, (unknown)	0
11	A new cascaded projection pursuit network for nonlinear regression 2002 ·(unknown), Jenq–Neng Hwang, I‐Chang Jou, Shyh-Rong Lay	1
12	CMOS implementation of neural networks for speech recognition 2002 ·I‐Chang Jou, (unknown), Chung‐Yu Wu	3
13	A Hybrid Neuro-Fuzzy System for Adaptive Vehicle Separation Control 1999 ·The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology ·I‐Chang Jou, (unknown), Huey-Kuo Chen	2
14	On-line signature verification using LPC cepstrum and neural networks 1997 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·(unknown), I‐Chang Jou, Suh-Yin Lee	53
15	On-line signature verification based on split-and-merge matching mechanism 1997 ·Pattern Recognition Letters ·(unknown), Suh-Yin Lee, I‐Chang Jou	19
16	The cascade-correlation learning: a projection pursuit learning perspective 1996 ·IEEE Transactions on Neural Networks ·Jenq–Neng Hwang, (unknown), Shyh-Rong Lay, I‐Chang Jou	49
17	Data compression techniques for Chinese character patterns 1991 ·Journal of the Chinese Institute of Engineers ·(unknown), (unknown), I‐Chang Jou	0
18	A neural network based speaker verification system 1990 ·I‐Chang Jou, Su‐Ling Lee, (unknown), (unknown), (unknown), (unknown)	1
19	Subspace approximation based covariance eigensystem solver 1987 ·IEE Proceedings F Communications, Radar and Signal Processing ·Yu Hen Hu, I‐Chang Jou, (unknown)	2
20	A novel implementation of pipelined Toeplitz system solver 1986 ·Proceedings of the IEEE ·I‐Chang Jou, Yu Hen Hu, (unknown)	13

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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