Lam Hong Lee

1.8k total citations · 1 hit paper
23 papers, 1.3k citations indexed

About

Lam Hong Lee is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lam Hong Lee has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lam Hong Lee's work include Text and Document Classification Technologies (14 papers), Spam and Phishing Detection (9 papers) and Advanced Text Analysis Techniques (5 papers). Lam Hong Lee is often cited by papers focused on Text and Document Classification Technologies (14 papers), Spam and Phishing Detection (9 papers) and Advanced Text Analysis Techniques (5 papers). Lam Hong Lee collaborates with scholars based in Malaysia, United Kingdom and Brunei. Lam Hong Lee's co-authors include Dino Isa, Baharum Baharudin, Khairullah Khan, Vish Kallimani, Raj Rajkumar, Niusha Shafiabady, Rajprasad Kumar Rajkumar, Baharudin Ibrahim, Lai‐Hoong Cheng and Syahidah Akmal Muhammad and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Lam Hong Lee

21 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Review of Machine Learning Algorithms for Text-Documents Classification

2010 454 citations Baharum Baharudin, Lam Hong Lee et al. Journal of Advances in Information Technology profile →

Peers

Lam Hong Lee

CVPR

EEE

CSE

Tong Li China

Yalou Huang China

Yang Xu China

Shuxiang Xu Australia

Stefan Rüping Germany

Yang Xiang China

Emmanuel Gbenga Dada Nigeria

Andronicus A. Akinyelu South Africa

Agapito Ledezma Spain

Richard Dazeley Australia

Tong Li China

Lam Hong Lee

363 ×0.5

215 ×0.6

114 ×0.7

CVPR

123 ×1.1

EEE

78 ×0.8

CSE

Citations per year, relative to Lam Hong Lee Lam Hong Lee (= 1×) peers Tong Li

Countries citing papers authored by Lam Hong Lee

Since Specialization

Citations

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

Fields of papers citing papers by Lam Hong Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lam Hong Lee. 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 Lam Hong Lee. The network helps show where Lam Hong Lee may publish in the future.

Co-authorship network of co-authors of Lam Hong Lee

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

All Works

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20 of 20 papers shown

Moshawih, Said, Hui Poh Goh, Nurolaini Kifli, et al.. (2024). Consensus holistic virtual screening for drug discovery: a novel machine learning model approach. Journal of Cheminformatics. 16(1). 62–62. 10 indexed citations

Goh, Khang Wen, et al.. (2023). A new class of Shariah-compliant portfolio optimization model: diversification analysis. AIMS Mathematics. 8(9). 20933–20965.

Lee, Lam Hong, et al.. (2019). Automatic Folder Allocation System for Electronic Text Document Repositories Using Enhanced Bayesian Classification Approach. International Journal of Intelligent Information Technologies. 15(2). 1–19. 1 indexed citations

Seow, Eng‐Keng, Baharudin Ibrahim, Syahidah Akmal Muhammad, et al.. (2016). Discrimination between cave and house-farmed edible bird's nest based on major mineral profiles.. Pertanika journal of tropical agricultural science. 39(2). 181–196. 10 indexed citations

Shafiabady, Niusha, et al.. (2016). Using unsupervised clustering approach to train the Support Vector Machine for text classification. Neurocomputing. 211. 4–10. 43 indexed citations

Seow, Eng‐Keng, Baharudin Ibrahim, Syahidah Akmal Muhammad, Lam Hong Lee, & Lai‐Hoong Cheng. (2015). Differentiation between house and cave edible bird's nests by chemometric analysis of amino acid composition data. LWT. 65. 428–435. 36 indexed citations

Isa, Dino, et al.. (2014). Active incremental Support Vector Machine for oil and gas pipeline defects prediction system using long range ultrasonic transducers. Ultrasonics. 54(6). 1534–1544. 32 indexed citations

Lee, Lam Hong, et al.. (2013). Bayesian Folder Allocation System for Electronic Text Document Repositories. Journal of Applied Sciences. 14(1). 10–17. 2 indexed citations

Lee, Lam Hong, et al.. (2012). Oil and gas pipeline failure prediction system using long range ultrasonic transducers and Euclidean-Support Vector Machines classification approach. Expert Systems with Applications. 40(6). 1925–1934. 50 indexed citations

10.

Lee, Lam Hong, et al.. (2012). A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine. Expert Systems with Applications. 39(15). 11880–11888. 77 indexed citations

11.

Lee, Lam Hong, et al.. (2011). An enhanced Support Vector Machine classification framework by using Euclidean distance function for text document categorization. Applied Intelligence. 37(1). 80–99. 124 indexed citations

12.

Lee, Lam Hong, et al.. (2010). Automatic folder allocation system using Bayesian-support vector machines hybrid classification approach. Applied Intelligence. 36(2). 295–307. 19 indexed citations

13.

Lee, Lam Hong, et al.. (2010). Development of simplified inventory system with online synchronize capability. Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia). 1 indexed citations

14.

Lee, Lam Hong & Dino Isa. (2010). Automatically computed document dependent weighting factor facility for Naïve Bayes classification. Expert Systems with Applications. 37(12). 8471–8478. 14 indexed citations

15.

Lee, Lam Hong, et al.. (2010). Tournament Structure Ranking Techniques for Bayesian Text Classification with Highly Similar Categories. Journal of Applied Sciences. 10(13). 1243–1254. 6 indexed citations

16.

Lee, Lam Hong, et al.. (2010). A Review of Nearest Neighbor-Support Vector Machines Hybrid Classification Models. Journal of Applied Sciences. 10(17). 1841–1858. 24 indexed citations

17.

Baharudin, Baharum, Lam Hong Lee, & Khairullah Khan. (2010). A Review of Machine Learning Algorithms for Text-Documents Classification. Journal of Advances in Information Technology. 1(1). 454 indexed citations breakdown →

18.

Isa, Dino, Vish Kallimani, & Lam Hong Lee. (2008). Using the self organizing map for clustering of text documents. Expert Systems with Applications. 36(5). 9584–9591. 72 indexed citations

19.

Isa, Dino, Lam Hong Lee, Vish Kallimani, & Raj Rajkumar. (2008). Text Document Preprocessing with the Bayes Formula for Classification Using the Support Vector Machine. IEEE Transactions on Knowledge and Data Engineering. 20(9). 1264–1272. 174 indexed citations

20.

Isa, Dino, Lam Hong Lee, Vish Kallimani, & Ramjee Prasad. (2008). Polychotomiser for Case-based Reasoning beyond the Traditional Bayesian Classification Approach. Computer and Information Science. 1(1). 9 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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