Y.-H. Pao

2.5k total citations · 1 hit paper
51 papers, 1.9k citations indexed

About

Y.-H. Pao is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Y.-H. Pao has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Electrical and Electronic Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Y.-H. Pao's work include Neural Networks and Applications (19 papers), Power System Optimization and Stability (9 papers) and Fuzzy Logic and Control Systems (6 papers). Y.-H. Pao is often cited by papers focused on Neural Networks and Applications (19 papers), Power System Optimization and Stability (9 papers) and Fuzzy Logic and Control Systems (6 papers). Y.-H. Pao collaborates with scholars based in United States, Serbia and South Korea. Y.-H. Pao's co-authors include Yoshiyasu Takefuji, D.J. Šobajić, M. Djukanović, Stephen M. Phillips, Yu Zhao, Wyatt S. Newman, B. Igelnik, Jinyan Li, Kenneth A. Loparo and Daniel Raviv and has published in prestigious journals such as IEEE Transactions on Power Systems, Journal of the Operational Research Society and Journal of Alloys and Compounds.

In The Last Decade

Y.-H. Pao

47 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Functional-link net computing: theory, system architecture, and functionalities

1992 648 citations Y.-H. Pao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Y.-H. Pao United States	18	843	722	492	335	126	51	1.9k
D.J. Šobajić United States	21	1.1k 1.3×	1.7k 2.4×	1.1k 2.3×	337 1.0×	312 2.5×	77	2.8k
Y. del Valle United States	11	471 0.6×	1.3k 1.8×	834 1.7×	74 0.2×	81 0.6×	16	2.1k
Kang‐Di Lu China	24	683 0.8×	971 1.3×	813 1.7×	125 0.4×	44 0.3×	49	2.3k
Asanga Ratnaweera Sri Lanka	7	1.4k 1.7×	573 0.8×	740 1.5×	228 0.7×	35 0.3×	17	2.6k
M.V.C. Rao Malaysia	18	469 0.6×	650 0.9×	321 0.7×	89 0.3×	127 1.0×	58	1.4k
Narinder Singh India	18	677 0.8×	437 0.6×	284 0.6×	153 0.5×	27 0.2×	100	1.7k
Qin Zhang China	23	415 0.5×	203 0.3×	573 1.2×	91 0.3×	85 0.7×	148	1.7k
Jun Zheng China	24	503 0.6×	859 1.2×	207 0.4×	169 0.5×	33 0.3×	175	2.3k
Yu Zhou China	26	767 0.9×	356 0.5×	166 0.3×	576 1.7×	24 0.2×	167	2.2k

Countries citing papers authored by Y.-H. Pao

Since Specialization

Citations

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

Fields of papers citing papers by Y.-H. Pao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y.-H. Pao. 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 Y.-H. Pao. The network helps show where Y.-H. Pao may publish in the future.

Co-authorship network of co-authors of Y.-H. Pao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhou, Shengqiang, Y.-H. Pao, Chao Wang, et al.. (2025). Intrinsic two-photon absorption and damage-onset windows in Ta2O5 thin films with Z-scan approach. Optical Materials. 171. 117766–117766.

2.

Pao, Y.-H., et al.. (2003). Learning control with neural networks. 1448–1453. 13 indexed citations

3.

Shen, Chaonan, et al.. (2002). Scheduling multiple job problems with guided evolutionary simulated annealing approach. 702–706. 7 indexed citations

4.

Djukanović, M., D.J. Šobajić, & Y.-H. Pao. (2002). Learning tangent hypersurfaces for fast assessment of transient stability. 140. 124–129. 4 indexed citations

5.

Pao, Y.-H., et al.. (2000). Analysis and visualization of category membership distribution in multivariate data. Engineering Applications of Artificial Intelligence. 13(5). 521–525. 2 indexed citations

6.

Pao, Y.-H., et al.. (1998). Training neural-net controllers with the help of trajectories generated with fuzzy rules (demonstrated with the truck backup task). Neurocomputing. 18(1-3). 91–105. 4 indexed citations

7.

Pao, Y.-H., et al.. (1998). Neural-net approach to the maximum flow problem. Electronics Letters. 34(8). 786–787. 3 indexed citations

8.

Li, Jinyan, et al.. (1997). Comments on "Stochastic choice of basis functions in adaptive function approximation and the functional-link net" [with reply]. IEEE Transactions on Neural Networks. 8(2). 452–454. 58 indexed citations

9.

Pao, Y.-H., et al.. (1994). Neural-net based optical ellipsometry for monitoring growth of semiconductor films. Annual Review in Automatic Programming. 19. 123–128. 2 indexed citations

10.

Djukanović, M., et al.. (1993). Applications of neural-net computing to transient stability assessment and enhancement of electric power systems. Yugoslav journal of operations research. 3(2). 199–218. 1 indexed citations

11.

Djukanović, M., et al.. (1993). Prediction of power system frequency response after generator outages using neural nets. IEE Proceedings C Generation Transmission and Distribution. 140(5). 389–389. 40 indexed citations

12.

Djukanović, M., D.J. Šobajić, & Y.-H. Pao. (1992). Artificial neural network based identification of dynamic equivalents. Electric Power Systems Research. 24(1). 39–48. 17 indexed citations

13.

Djukanović, M., et al.. (1992). Neural network based calculation of short-circuit currents in three-phase systems. Electric Power Systems Research. 24(1). 49–53. 4 indexed citations

14.

Djukanović, M., D.J. Šobajić, & Y.-H. Pao. (1992). Neural net based determination of generator-shedding requirements in electric power systems. IEE Proceedings C Generation Transmission and Distribution. 139(5). 427–427. 35 indexed citations

15.

Pau, L. F., et al.. (1991). Expert Systems in Economics, Banking and Management. Journal of the Operational Research Society. 42(4). 345–345. 23 indexed citations

16.

Šobajić, D.J. & Y.-H. Pao. (1989). Artificial neural-net based dynamic security assessment for electric power systems. IEEE Transactions on Power Systems. 4(1). 220–228. 295 indexed citations

17.

Raviv, Daniel, Y.-H. Pao, & Kenneth A. Loparo. (1989). Reconstruction of three-dimensional surfaces from two-dimensional binary images. IEEE Transactions on Robotics and Automation. 5(5). 701–710. 32 indexed citations

18.

Pao, Y.-H.. (1988). Neural nets as models for study of multivalued logic. 142–142. 1 indexed citations

19.

Raviv, Dan, Y.-H. Pao, & Kenneth A. Loparo. (1987). 3D Surface Reconstruction From 2D Binary Images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 852. 154–154. 1 indexed citations

20.

Pao, Y.-H., et al.. (1980). Far UV Optical Activity of Sodium Chlorate. Spectroscopy Letters. 13(4). 227–234. 2 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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