Tin-Yau Kwok

622 total citations
5 papers, 417 citations indexed

About

Tin-Yau Kwok is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Tin-Yau Kwok has authored 5 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Tin-Yau Kwok's work include Neural Networks and Applications (5 papers), Fault Detection and Control Systems (2 papers) and Statistical Mechanics and Entropy (1 paper). Tin-Yau Kwok is often cited by papers focused on Neural Networks and Applications (5 papers), Fault Detection and Control Systems (2 papers) and Statistical Mechanics and Entropy (1 paper). Tin-Yau Kwok collaborates with scholars based in Hong Kong. Tin-Yau Kwok's co-authors include Dit-Yan Yeung, Dit‐Yan Yeung, Dit Yan Yeung and Dit–Yan Yeung and has published in prestigious journals such as IEEE Transactions on Neural Networks and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Tin-Yau Kwok

5 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tin-Yau Kwok Hong Kong	5	276	99	80	62	42	5	417
W. Ahmed United States	6	302 1.1×	134 1.4×	94 1.2×	53 0.9×	46 1.1×	15	482
G. Auda Canada	10	201 0.7×	99 1.0×	40 0.5×	55 0.9×	41 1.0×	16	369
Norbert Jankowski Poland	9	272 1.0×	76 0.8×	54 0.7×	32 0.5×	31 0.7×	30	429
Liying Ma Canada	6	183 0.7×	68 0.7×	65 0.8×	49 0.8×	33 0.8×	16	303
Ali Amiri Iran	11	139 0.5×	164 1.7×	75 0.9×	100 1.6×	44 1.0×	30	429
Hsuan-Ming Feng Taiwan	11	191 0.7×	136 1.4×	130 1.6×	51 0.8×	17 0.4×	32	422
Philémon Brakel Canada	7	236 0.9×	62 0.6×	43 0.5×	72 1.2×	118 2.8×	11	392
Rashmi Dutta Baruah India	9	195 0.7×	70 0.7×	41 0.5×	35 0.6×	56 1.3×	43	439
Kisung Seo South Korea	13	243 0.9×	72 0.7×	118 1.5×	69 1.1×	19 0.5×	64	475
E.M. Jordaan Netherlands	6	95 0.3×	43 0.4×	70 0.9×	31 0.5×	24 0.6×	9	252

Countries citing papers authored by Tin-Yau Kwok

Since Specialization

Citations

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

Fields of papers citing papers by Tin-Yau Kwok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tin-Yau Kwok. 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 Tin-Yau Kwok. The network helps show where Tin-Yau Kwok may publish in the future.

Co-authorship network of co-authors of Tin-Yau Kwok

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

All Works

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5 of 5 papers shown

1.

Kwok, Tin-Yau & Dit‐Yan Yeung. (2002). Efficient cross-validation for feedforward neural networks. 5. 2789–2794. 11 indexed citations

2.

Kwok, Tin-Yau & Dit-Yan Yeung. (1997). Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Transactions on Neural Networks. 8(3). 630–645. 349 indexed citations

3.

Kwok, Tin-Yau & Dit‐Yan Yeung. (1996). Use of bias term in projection pursuit learning improves approximation and convergence properties. IEEE Transactions on Neural Networks. 7(5). 1168–1183. 23 indexed citations

4.

Kwok, Tin-Yau & Dit Yan Yeung. (1995). Constructive feedforward neural networks for regression problems : a survey. 27 indexed citations

5.

Kwok, Tin-Yau & Dit–Yan Yeung. (1994). Constructive neural networks: some practical considerations. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 198–203 vol.1. 7 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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