2026 S. K. M. Wong: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	National Ranking	Publications	Citations
Computer Science	32	12950	497	95	6330

Discipline name

D-Index

World Ranking

National Ranking

Publications

Citations

Computer Science

12950

497

6330

Overview

S. K. M. Wong is affiliated with the University of Regina in Canada, focusing primarily on research within the fields of Biochemistry, Genetics, and Molecular Biology. Their subfields of study include Molecular Biology, Insect Science, Social Psychology, Ecology, and Artificial Intelligence. The main research topics explored by Wong involve Insect Resistance and Genetics, Insect and Pesticide Research, CRISPR and Genetic Engineering, Counseling Practices and Supervision, DNA and Nucleic Acid Chemistry, RNA and protein synthesis mechanisms, and Bacteriophages and microbial interactions.

Wong has contributed to various scientific publications, with recent papers covering diverse topics. These include:

"More than 10 years after commercialization, Vip3A-expressing MIR162 remains highly efficacious in controlling major Lepidopteran maize pests: laboratory resistance selection versus field reality," published in 2023 in Pesticide Biochemistry and Physiology
"Self-protective strategies used by Asian and Black psychology and counselor education faculty who teach multicultural competence courses," published in 2022 in Training and Education in Professional Psychology
"Bridging health and society," published in 2025 in Canadian Family Physician
"Synthesis and base-pairing properties of pyrazine nucleic acids," published in 2020 in Nucleosides Nucleotides & Nucleic Acids
"An enhancement of Boolean retrieval systems based on term co-occurrence frequencies / Un amélioration des systèmes d'information basé sur la cooccurrence de termes," published in 2022 in Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI

Frequent co-authors collaborating with Wong include:

Matthew Bramlett
Jessica Middlemis Maher
Oswin Chang
Paul J. Zwack
Yuexuan Wu

Wong's scholarly articles frequently appear in the following publication venues:

Pesticide Biochemistry and Physiology
Canadian Family Physician
Training and Education in Professional Psychology
Nucleosides Nucleotides & Nucleic Acids
Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI

Best Publications

A decision theoretic framework for approximating concepts

Y. Y. Yao;S. K. M. Wong

767
Citations
Rough sets: probabilistic versus deterministic approach

Z. Pawlak;S. K. M. Wong;W. Ziarko

657
Citations
A critical analysis of vector space model for information retrieval

Vijay V. Raghavan;S. K. M. Wong

552
Citations
Generalized vector spaces model in information retrieval

S. K. M. Wong;Wojciech Ziarko;Patrick C. N. Wong

378
Citations
Variance‐based color image quantization for frame buffer display

S. J. Wan;P. Prusinkiewicz;S. K. M. Wong

354
Citations
On modeling of information retrieval concepts in vector spaces

S. K.M. Wong;W. Ziarko;V. V. Raghavan;P. C.N. Wong

279
Citations
On modeling information retrieval with probabilistic inference

S. K. M. Wong;Y. Y. Yao

276
Citations
Comparison of the probabilistic approximate classification and the fuzzy set model

S. K. M Wong;Wojciech Ziarko

265
Citations
A Review of Rough Set Models

Y. Y. Yao;S. K. M. Wong;T. Y. Lin

233
Citations
An algorithm for multidimensional data clustering

S. J. Wan;S. K. M. Wong;P. Prusinkiewicz

153
Citations
Comparison of rough-set and statistical methods in inductive learning

S K Wong;W Ziarko;R Li Ye

144
Citations
Vector space model of information retrieval: a reevaluation

S. K. M. Wong;Vijay V. Raghavan

130
Citations
On the implication problem for probabilistic conditional independency

Unknown

115
Citations
Axiomatization of qualitative belief structure

S.K.M. Wong;Y.Y. Yao;P. Bollmann;H.C. Burger

107
Citations
A NON-NUMERIC APPROACH TO UNCERTAIN REASONING

Y.Y. Yao;S.K.M. Wong;L.S. Wang

105
Citations
ON MODELING UNCERTAINTY WITH INTERVAL STRUCTURES

S. K. M. Wong;L. S. Wang;Y Y. Yao

100
Citations
A “Microscopic” Study of Minimum Entropy Search in Learning Decomposable Markov Networks

Y. Xiang;S. K. M. Wong;N. Cercone

88
Citations
A NEW DIRECTED DIVERGENCE MEASURE AND ITS CHARACTERIZATION

J. Lin;S. K. M. Wong

84
Citations
Linear structure in information retrieval

S. K.M. Wong;Y. Y. Yao

83
Citations
Computation of term associations by a neural network

S. K. M. Wong;Y. J. Cai;Y. Y. Yao

83
Citations
On Information-Theoretic Measures of Attribute Importance

Y. Y. Yao;S. K. Michael Wong;Cory J. Butz

80
Citations

Frequent Co-Authors

Yiyu Yao University of Regina

Wojciech Ziarko University of Regina

Vijay V. Raghavan University of Louisiana at Lafayette

Zdzisław Pawlak Polish Academy of Sciences

Pawan Lingras Saint Mary's University

Chris Buckley Cornell University

Gerard Salton Cornell University

Lusheng Wang City University of Hong Kong

Przemyslaw Prusinkiewicz University of Calgary

Nick Cercone York University

External Links

Personal website of S. K. M. Wong

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