Shyh-Rong Lay

648 total citations
8 papers, 420 citations indexed

About

Shyh-Rong Lay is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Control and Systems Engineering. According to data from OpenAlex, Shyh-Rong Lay has authored 8 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Civil and Structural Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in Shyh-Rong Lay's work include Neural Networks and Applications (5 papers), Machine Learning and ELM (3 papers) and Image and Signal Denoising Methods (1 paper). Shyh-Rong Lay is often cited by papers focused on Neural Networks and Applications (5 papers), Machine Learning and ELM (3 papers) and Image and Signal Denoising Methods (1 paper). Shyh-Rong Lay collaborates with scholars based in United States, Taiwan and Switzerland. Shyh-Rong Lay's co-authors include Jenq–Neng Hwang, Andrew Lippman, R. Douglas Martin, Martin Mächler, I‐Chang Jou, Les Atlas and E.A. Riskin and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and IEEE International Conference on Neural Networks.

In The Last Decade

Shyh-Rong Lay

8 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shyh-Rong Lay United States	4	277	108	63	53	38	8	420
Meizhu Liu United States	11	188 0.7×	180 1.7×	91 1.4×	34 0.6×	27 0.7×	21	488
AJ Smola Germany	7	169 0.6×	165 1.5×	35 0.6×	71 1.3×	21 0.6×	11	341
Chris Darken United States	7	170 0.6×	80 0.7×	32 0.5×	54 1.0×	13 0.3×	10	359
F. Desobry France	7	174 0.6×	54 0.5×	91 1.4×	74 1.4×	32 0.8×	10	346
A.M. Colla Italy	7	296 1.1×	106 1.0×	52 0.8×	30 0.6×	16 0.4×	20	437
Rong Ge United States	11	191 0.7×	144 1.3×	92 1.5×	17 0.3×	24 0.6×	28	579
István Dénes Germany	6	148 0.5×	99 0.9×	57 0.9×	46 0.9×	74 1.9×	12	454
K.H. Chan United States	5	321 1.2×	141 1.3×	44 0.7×	96 1.8×	7 0.2×	6	504
Mary M. Moya United States	6	244 0.9×	78 0.7×	41 0.7×	41 0.8×	14 0.4×	18	376
Predrag Neskovic United States	7	184 0.7×	133 1.2×	33 0.5×	34 0.6×	12 0.3×	18	349

Countries citing papers authored by Shyh-Rong Lay

Since Specialization

Citations

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

Fields of papers citing papers by Shyh-Rong Lay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shyh-Rong Lay. 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 Shyh-Rong Lay. The network helps show where Shyh-Rong Lay may publish in the future.

Co-authorship network of co-authors of Shyh-Rong Lay

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

All Works

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8 of 8 papers shown

1.

Hwang, Jenq–Neng, Shyh-Rong Lay, & Andrew Lippman. (2002). Unsupervised learning for multivariate probability density estimation: radial basis and projection pursuit. IEEE International Conference on Neural Networks. 1486–1491. 3 indexed citations

2.

Hwang, Jenq–Neng, et al.. (2002). A new cascaded projection pursuit network for nonlinear regression. ii. II/585–II/588. 1 indexed citations

3.

Lay, Shyh-Rong, et al.. (2002). Extensions to projection pursuit learning networks with parametric smoothers. 3. 1325–1330. 2 indexed citations

4.

Lay, Shyh-Rong & Jenq–Neng Hwang. (2002). Robust construction of radial basis function networks for classification. IEEE International Conference on Neural Networks. 1859–1864. 2 indexed citations

5.

Riskin, E.A., Les Atlas, & Shyh-Rong Lay. (2002). Ordered neural maps and their applications to data compression. 543–551. 5 indexed citations

6.

Hwang, Jenq–Neng, et al.. (1996). The cascade-correlation learning: a projection pursuit learning perspective. IEEE Transactions on Neural Networks. 7(2). 278–289. 49 indexed citations

7.

Hwang, Jenq–Neng, et al.. (1994). Regression modeling in back-propagation and projection pursuit learning. IEEE Transactions on Neural Networks. 5(3). 342–353. 166 indexed citations

8.

Hwang, Jenq–Neng, Shyh-Rong Lay, & Andrew Lippman. (1994). Nonparametric multivariate density estimation: a comparative study. IEEE Transactions on Signal Processing. 42(10). 2795–2810. 192 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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