Hwee-Boon Low

403 total citations
7 papers, 285 citations indexed

About

Hwee-Boon Low is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hwee-Boon Low has authored 7 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hwee-Boon Low's work include Text and Document Classification Technologies (4 papers), Advanced Text Analysis Techniques (2 papers) and Web Data Mining and Analysis (2 papers). Hwee-Boon Low is often cited by papers focused on Text and Document Classification Technologies (4 papers), Advanced Text Analysis Techniques (2 papers) and Web Data Mining and Analysis (2 papers). Hwee-Boon Low collaborates with scholars based in Singapore. Hwee-Boon Low's co-authors include Man Lan, Chew-Lim Tan, Chew‐Lim Tan, Ji He, Lionel Wee and Ying Lü and has published in prestigious journals such as National University of Singapore, PubMed and Computer Networks and ISDN Systems.

In The Last Decade

Hwee-Boon Low

5 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hwee-Boon Low Singapore	4	244	122	65	39	18	7	285
Myung-Gil Jang South Korea	9	268 1.1×	91 0.7×	35 0.5×	21 0.5×	15 0.8×	29	310
Yunhua Hu China	8	228 0.9×	179 1.5×	34 0.5×	22 0.6×	15 0.8×	13	295
Catherine Berrut France	8	103 0.4×	70 0.6×	82 1.3×	56 1.4×	16 0.9×	16	205
Sarah Zelikovitz United States	8	225 0.9×	86 0.7×	45 0.7×	17 0.4×	7 0.4×	21	272
Egidio L. Terra Canada	9	249 1.0×	121 1.0×	25 0.4×	15 0.4×	28 1.6×	15	292
Atulya Velivelli United States	6	186 0.8×	102 0.8×	56 0.9×	30 0.8×	11 0.6×	11	277
Abraham Ittycheriah United States	13	532 2.2×	105 0.9×	45 0.7×	20 0.5×	22 1.2×	26	551
Rila Mandala Indonesia	7	239 1.0×	146 1.2×	41 0.6×	48 1.2×	20 1.1×	42	316
Franca Debole Italy	5	342 1.4×	178 1.5×	71 1.1×	25 0.6×	21 1.2×	12	393
Thomas Roelleke United Kingdom	9	184 0.8×	122 1.0×	30 0.5×	46 1.2×	13 0.7×	27	240

Countries citing papers authored by Hwee-Boon Low

Since Specialization

Citations

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

Fields of papers citing papers by Hwee-Boon Low

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hwee-Boon Low. 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 Hwee-Boon Low. The network helps show where Hwee-Boon Low may publish in the future.

Co-authorship network of co-authors of Hwee-Boon Low

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

All Works

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7 of 7 papers shown

1.

Wee, Lionel & Hwee-Boon Low. (2012). SVM-based prediction of the calpain degradome using Bayes Feature Extraction. PubMed. 270. 5534–5540. 3 indexed citations

2.

Lan, Man, Chew-Lim Tan, & Hwee-Boon Low. (2006). Proposing a new term weighting scheme for text categorization. National University of Singapore. 763–768. 64 indexed citations

3.

Lan, Man, et al.. (2006). A comparati e study on term eighting schemes for te t categori ation. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 2. 546–551. 51 indexed citations

4.

Lan, Man, et al.. (2005). A comprehensive comparative study on term weighting schemes for text categorization with support vector machines. National University of Singapore. 1032–1032. 91 indexed citations

5.

He, Ji, et al.. (2005). Initialization of cluster refinement algorithms: a review and comparative study. 297–302. 75 indexed citations

6.

Lü, Ying, et al.. (1998). Searching heterogeneous multilingual bibliographic sources. Computer Networks and ISDN Systems. 30(1-7). 612–615.

7.

Low, Hwee-Boon. (1993). Some Lessons Learnt by a New Comer. 181–188. 1 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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