Richard T.K. Wong

51 total papers · 535 total citations
31 papers, 282 citations indexed

About

Richard T.K. Wong is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Richard T.K. Wong has authored 31 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Richard T.K. Wong's work include Misinformation and Its Impacts (5 papers), Traffic control and management (4 papers) and Spam and Phishing Detection (4 papers). Richard T.K. Wong is often cited by papers focused on Misinformation and Its Impacts (5 papers), Traffic control and management (4 papers) and Spam and Phishing Detection (4 papers). Richard T.K. Wong collaborates with scholars based in Malaysia, Syria and South Korea. Richard T.K. Wong's co-authors include Yingshan Tao, Loi Lei Lai, Chun Sing Lai, Youwei Jia, Zhekang Dong, Qi Hong Lai, Dongxiao Wang, Ruiheng Wu, Ahmed F. Zobaa and Muhammed Basheer Jasser and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Richard T.K. Wong

24 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Richard T.K. Wong 101 58 56 52 33 31 282
Rubén Sánchez 104 1.0× 33 0.6× 57 1.0× 74 1.4× 35 1.1× 21 254
Aritz Bilbao-Jayo 110 1.1× 51 0.9× 65 1.2× 106 2.0× 32 1.0× 15 321
Nuno Vasco Lopes 121 1.2× 48 0.8× 50 0.9× 87 1.7× 47 1.4× 40 289
João Paulo Just Peixoto 75 0.7× 50 0.9× 92 1.6× 96 1.8× 37 1.1× 18 298
Eric Specking 88 0.9× 23 0.4× 37 0.7× 29 0.6× 18 0.5× 33 313
Francesco Nocera 55 0.5× 39 0.7× 34 0.6× 105 2.0× 55 1.7× 23 252
Chitra Balakrishna 84 0.8× 41 0.7× 41 0.7× 136 2.6× 100 3.0× 19 318
Siniša Husnjak 28 0.3× 38 0.7× 18 0.3× 74 1.4× 70 2.1× 29 299
Raquel Pérez‐delHoyo 74 0.7× 13 0.2× 87 1.6× 20 0.4× 22 0.7× 29 240
Norlia Mustaffa 51 0.5× 56 1.0× 15 0.3× 31 0.6× 38 1.2× 19 294

Countries citing papers authored by Richard T.K. Wong

Since Specialization
Citations

This map shows the geographic impact of Richard T.K. Wong'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 Richard T.K. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard T.K. Wong more than expected).

Fields of papers citing papers by Richard T.K. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard T.K. Wong. 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 Richard T.K. Wong. The network helps show where Richard T.K. Wong may publish in the future.

Co-authorship network of co-authors of Richard T.K. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Richard T.K. Wong. A scholar is included among the top collaborators of Richard T.K. Wong 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 Richard T.K. Wong. Richard T.K. Wong 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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