Loong Chuen Lee

1.3k total citations · 1 hit paper
36 papers, 966 citations indexed

About

Loong Chuen Lee is a scholar working on Analytical Chemistry, Archeology and Biophysics. According to data from OpenAlex, Loong Chuen Lee has authored 36 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Analytical Chemistry, 16 papers in Archeology and 9 papers in Biophysics. Recurrent topics in Loong Chuen Lee's work include Spectroscopy and Chemometric Analyses (26 papers), Cultural Heritage Materials Analysis (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (9 papers). Loong Chuen Lee is often cited by papers focused on Spectroscopy and Chemometric Analyses (26 papers), Cultural Heritage Materials Analysis (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (9 papers). Loong Chuen Lee collaborates with scholars based in Malaysia and China. Loong Chuen Lee's co-authors include Abdul Aziz Jemain, Choong-Yeun Liong, Khairul Osman and Azhar Abdul Halim and has published in prestigious journals such as The Analyst, Chemometrics and Intelligent Laboratory Systems and Microchemical Journal.

In The Last Decade

Loong Chuen Lee

33 papers receiving 953 citations

Hit Papers

Partial least squares-discriminant analysis (PLS-DA) for ... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Loong Chuen Lee Malaysia 11 457 264 222 211 94 36 966
Choong-Yeun Liong Malaysia 13 395 0.9× 234 0.9× 198 0.9× 184 0.9× 100 1.1× 61 1.1k
Zan Lin China 17 548 1.2× 189 0.7× 300 1.4× 219 1.0× 55 0.6× 52 833
Muhua Liu China 18 784 1.7× 202 0.8× 187 0.8× 276 1.3× 153 1.6× 121 1.2k
Jan Gerretzen Netherlands 14 889 1.9× 281 1.1× 436 2.0× 373 1.8× 86 0.9× 17 1.3k
Florian Wülfert United Kingdom 14 480 1.1× 322 1.2× 249 1.1× 224 1.1× 66 0.7× 20 1.2k
Cristina Malegori Italy 22 686 1.5× 204 0.8× 209 0.9× 450 2.1× 186 2.0× 55 1.3k
Leiming Yuan China 18 451 1.0× 174 0.7× 127 0.6× 306 1.5× 87 0.9× 52 911
J.M. Prats-Montalbán Spain 19 531 1.2× 121 0.5× 136 0.6× 183 0.9× 281 3.0× 55 1.1k
Chao Tan China 25 905 2.0× 310 1.2× 467 2.1× 402 1.9× 93 1.0× 106 1.6k
Delphine Jouan‐Rimbaud Bouveresse France 21 673 1.5× 276 1.0× 136 0.6× 337 1.6× 86 0.9× 49 1.2k

Countries citing papers authored by Loong Chuen Lee

Since Specialization
Citations

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

Fields of papers citing papers by Loong Chuen Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loong Chuen Lee

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

All Works

20 of 20 papers shown
4.
Lee, Loong Chuen, et al.. (2023). Comparison of Gap-Segment and Savitzky-Golay Algorithms in Forensic Discrimination of Soils Based on Ultra-Performance Liquid Chromatography Data. Journal of Analytical Chemistry. 78(10). 1398–1405. 1 indexed citations
5.
Lee, Loong Chuen, et al.. (2023). Comparison of decision tree and naïve Bayes algorithms in detecting trace residue of gasoline based on gas chromatography–mass spectrometry data. Forensic Sciences Research. 8(3). 249–255. 1 indexed citations
6.
Lee, Loong Chuen, et al.. (2023). A Critical Review of Soil Sampling and Data Analysis Strategies for Source Tracing of Soil in Forensic Investigations. Critical Reviews in Analytical Chemistry. 54(8). 3520–3558. 4 indexed citations
7.
Lee, Loong Chuen, et al.. (2022). The Potential and Challenges of Ampang Jaya Municipal Council (MPAJ) towards Achieving Low Carbon City (LCC): Community Perspectives. UKM Journal Article Repository (Universiti Kebangsaan Malaysia). 23(1). 1 indexed citations
8.
Lee, Loong Chuen, et al.. (2022). Evaluation of Row-wise Manipulations for the Forensic Differentiation of Malaysian Soils based on Ultra-performance Liquid Chromatographic Profiles. Journal of Analytical Chemistry. 77(3). 347–360. 2 indexed citations
9.
Lee, Loong Chuen, et al.. (2021). Forensic Profiling of Non-Volatile Organic Compounds in Soil using Ultra-Performance Liquid Chromatography: A Pilot Study. Forensic Sciences Research. 7(4). 761–773. 6 indexed citations
10.
Lee, Loong Chuen & Abdul Aziz Jemain. (2021). On overview of PCA application strategy in processing high dimensionality forensic data. Microchemical Journal. 169. 106608–106608. 51 indexed citations
13.
Lee, Loong Chuen & Abdul Aziz Jemain. (2020). The Application of TOPSIS in the Selection of Statistical Prediction Model: A Forensic Ink Analysis Case Study. 2020 International Conference on Decision Aid Sciences and Application (DASA). 68–72. 1 indexed citations
14.
Lee, Loong Chuen & Abdul Aziz Jemain. (2019). Predictive modelling of colossal ATR-FTIR spectral data using PLS-DA: empirical differences between PLS1-DA and PLS2-DA algorithms. The Analyst. 144(8). 2670–2678. 33 indexed citations
15.
Lee, Loong Chuen, Choong-Yeun Liong, & Abdul Aziz Jemain. (2018). Iterative random vs. Kennard-Stone sampling for IR spectrum-based classification task using PLS2-DA. AIP conference proceedings. 20 indexed citations
16.
Lee, Loong Chuen, Choong-Yeun Liong, & Abdul Aziz Jemain. (2018). Effects of data pre-processing methods on classification of ATR-FTIR spectra of pen inks using partial least squares-discriminant analysis (PLS-DA). Chemometrics and Intelligent Laboratory Systems. 182. 90–100. 34 indexed citations
17.
Lee, Loong Chuen, Choong-Yeun Liong, & Abdul Aziz Jemain. (2018). Statistical comparison of decision rules in PLS2-DA prediction model for classification of blue gel pen inks according to pen brand and pen model. Chemometrics and Intelligent Laboratory Systems. 184. 94–101. 3 indexed citations
18.
Lee, Loong Chuen, Choong-Yeun Liong, & Abdul Aziz Jemain. (2017). The effects of column-wise manipulations on accuracy of classical classifiers with high-dimensional spectral data. AIP conference proceedings. 1830. 80008–80008. 1 indexed citations
19.
Lee, Loong Chuen, Choong-Yeun Liong, & Abdul Aziz Jemain. (2017). Q-mode versus R-mode principal component analysis for linear discriminant analysis (LDA). AIP conference proceedings. 1842. 30024–30024. 7 indexed citations
20.
Lee, Loong Chuen, Choong-Yeun Liong, Khairul Osman, & Abdul Aziz Jemain. (2016). Forensic differentiation of paper by ATR-FTIR spectroscopy technique and partial least-squares-discriminant analysis (PLS-DA). AIP conference proceedings. 1750. 60016–60016. 5 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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