Wong Tin Wui

165 total papers · 470 total citations
71 papers, 323 citations indexed

About

Wong Tin Wui is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Wong Tin Wui has authored 71 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 20 papers in Electrical and Electronic Engineering and 19 papers in Mechanical Engineering. Recurrent topics in Wong Tin Wui's work include Metal and Thin Film Mechanics (4 papers), Advanced ceramic materials synthesis (4 papers) and Microwave and Dielectric Measurement Techniques (4 papers). Wong Tin Wui is often cited by papers focused on Metal and Thin Film Mechanics (4 papers), Advanced ceramic materials synthesis (4 papers) and Microwave and Dielectric Measurement Techniques (4 papers). Wong Tin Wui collaborates with scholars based in Malaysia, United Kingdom and India. Wong Tin Wui's co-authors include M. Rusop, Rihanum Yahaya Subban, Norlıda Kamarulzaman, Norazlinaliza Salim, Mohd Basyaruddin Abdul Rahman, Mahiran Basri, Mohd Nasir Taib, D.K. Ghodgaonkar, Partha Roy and Uttam Kumar Mandal and has published in prestigious journals such as PLoS ONE, Journal of Pharmaceutical and Biomedical Analysis and Expert Opinion on Drug Delivery.

In The Last Decade

Wong Tin Wui

65 papers receiving 308 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Wong Tin Wui	85	59	57	55	47	71	323
Ha Cam Anh	110 1.3×	44 0.7×	53 0.9×	90 1.6×	35 0.7×	36	365
T. Devasena	73 0.9×	33 0.6×	72 1.3×	89 1.6×	43 0.9×	25	326
Maria Betânia de Freitas Marques	83 1.0×	76 1.3×	66 1.2×	49 0.9×	17 0.4×	35	364
Dionezie Bojin	128 1.5×	60 1.0×	125 2.2×	45 0.8×	20 0.4×	32	363
Qianjie Zhang	84 1.0×	36 0.6×	48 0.8×	38 0.7×	19 0.4×	46	353
Alejandro González‐Álvarez	46 0.5×	43 0.7×	76 1.3×	94 1.7×	15 0.3×	28	343
Kuanyshbek Мusabekov	61 0.7×	15 0.3×	58 1.0×	64 1.2×	33 0.7×	52	366
Zdeňka Šklubalová	42 0.5×	136 2.3×	38 0.7×	47 0.9×	13 0.3×	43	350
Marieta Mureșan-Pop	156 1.8×	22 0.4×	64 1.1×	58 1.1×	24 0.5×	50	361
Galiya S. Irmukhametova	75 0.9×	97 1.6×	41 0.7×	109 2.0×	17 0.4×	38	365

Countries citing papers authored by Wong Tin Wui

Since Specialization

Citations

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

Fields of papers citing papers by Wong Tin Wui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wong Tin Wui

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

All Works

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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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