T.H. Lee

1.1k total citations
47 papers, 747 citations indexed

About

T.H. Lee is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, T.H. Lee has authored 47 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 8 papers in Biomedical Engineering. Recurrent topics in T.H. Lee's work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). T.H. Lee is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). T.H. Lee collaborates with scholars based in Singapore, South Korea and Australia. T.H. Lee's co-authors include Kay Chen Tan, Cheng Xiang, E.F. Khor, Songlin Ding, Chi-Keong Goh, Yun Yang, Yongdae Shin, Do‐Nyun Kim, Deborah Khoo and Junhong Nie and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, European Journal of Operational Research and IEEE Transactions on Image Processing.

In The Last Decade

T.H. Lee

40 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T.H. Lee Singapore	15	295	170	123	108	105	47	747
Prakash Shelokar India	10	577 2.0×	202 1.2×	121 1.0×	97 0.9×	39 0.4×	17	879
Wang Hu China	13	322 1.1×	262 1.5×	77 0.6×	210 1.9×	60 0.6×	58	884
Beatrice Ombuki-Berman Canada	14	398 1.3×	257 1.5×	58 0.5×	153 1.4×	42 0.4×	55	772
Pilar M. Ortigosa Spain	18	276 0.9×	127 0.7×	83 0.7×	156 1.4×	37 0.4×	90	911
Sheng-Uei Guan China	20	640 2.2×	181 1.1×	326 2.7×	79 0.7×	66 0.6×	117	1.2k
Binh Tran Australia	11	691 2.3×	224 1.3×	175 1.4×	58 0.5×	99 0.9×	26	979
Masaharu Munetomo Japan	15	467 1.6×	212 1.2×	58 0.5×	66 0.6×	51 0.5×	103	802
Prabhas Chongstitvatana Thailand	12	358 1.2×	123 0.7×	68 0.6×	59 0.5×	64 0.6×	103	707
Mohammad Ebrahim Shiri Iran	18	604 2.0×	373 2.2×	156 1.3×	53 0.5×	42 0.4×	69	1.1k
Guillermo Leguizamón Argentina	12	418 1.4×	189 1.1×	83 0.7×	112 1.0×	124 1.2×	56	667

Countries citing papers authored by T.H. Lee

Since Specialization

Citations

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

Fields of papers citing papers by T.H. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.H. Lee

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

Abdullah, Abdul Rahim, et al.. (2024). Deep Learning Classification of Gait Disorders in Neurodegenerative Diseases Among Older Adults Using ResNet-50. International Journal of Advanced Computer Science and Applications. 15(11).

Ahn, Jae‐Woo, T.H. Lee, Jin-Hwa Kim, et al.. (2024). TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. 3291–3325.

Abdullah, Abdul Rahim, et al.. (2024). Analysis of Gait Patterns in Neurodegenerative Disorders Among OlderAdults: A Ground Reaction Force Data Approach. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 1 indexed citations

Lee, Hana, et al.. (2024). Bioelectric medicine: unveiling the therapeutic potential of micro-current stimulation. Biomedical Engineering Letters. 14(3). 367–392. 1 indexed citations

Kim, Junseok, T.H. Lee, & Junho Yeom. (2023). Personal Mobility Detection through Application of YOLO Deep Learning Algorithm to Drone Images. Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography. 41(4). 239–246.

Park, Mi‐Ra, et al.. (2023). Deep Learning-Based Precision Analysis for Acrosome Reaction by Modification of Plasma Membrane in Boar Sperm. Animals. 13(16). 2622–2622. 3 indexed citations

Tan, Kok Kiong, et al.. (2013). Foreword for special issue on design-centric mechatronics education. Mechatronics. 23(8). 917–917. 2 indexed citations

Tan, Kok Kiong, et al.. (2012). An auto-perfusing umbilical cord blood collection instrument. ISA Transactions. 51(3). 420–429. 1 indexed citations

Tan, Kok Kiong, et al.. (2009). Ex Utero Harvest of Hematopoietic Stem Cells From Placenta/Umbilical Cord With an Automated Collection System. IEEE Transactions on Biomedical Engineering. 56(9). 2331–2334. 3 indexed citations

10.

Xiang, Cheng, et al.. (2006). Face recognition using recursive Fisher linear discriminant. IEEE Transactions on Image Processing. 15(8). 2097–2105. 73 indexed citations

11.

Xiang, Cheng, Songlin Ding, & T.H. Lee. (2005). Geometrical Interpretation and Architecture Selection of MLP. IEEE Transactions on Neural Networks. 16(1). 84–96. 85 indexed citations

12.

Xiang, Cheng, et al.. (2005). Face recognition using recursive fisher linear discriminant with gabor wavelet coding. National University of Singapore. 1. 79–82. 6 indexed citations

13.

Tan, Kok Kiong, Sunan Huang, & T.H. Lee. (2003). Dynamic S-function for geometrical error compensation based on neural network approximations. Measurement. 34(2). 143–156. 9 indexed citations

14.

Tan, Kay Chen, T.H. Lee, Jianfeng Cai, & Y.H. Chew. (2003). Automating the drug scheduling of cancer chemotherapy via evolutionary computation. 1. 908–913. 17 indexed citations

15.

Lee, T.H., et al.. (2002). Building fuzzy systems by soft competitive learning. 2. 749–754. 1 indexed citations

16.

Tan, Kay Chen, T.H. Lee, Kepeng Ou, & Loo Hay Lee. (2002). A messy genetic algorithm for the vehicle routing problem with time window constraints. 1. 679–686. 30 indexed citations

17.

Tan, Kay Chen, T.H. Lee, & E.F. Khor. (2002). Evolutionary algorithms for multi-objective optimization: performance assessments and comparisons. 2. 979–986. 60 indexed citations

18.

Nie, Junhong & T.H. Lee. (2002). A rule-based channel equalizer with learning capability. 1. 606–611.

19.

Tan, Kay Chen, T.H. Lee, Deborah Khoo, & E.F. Khor. (2001). A multiobjective evolutionary algorithm toolbox for computer-aided multiobjective optimization. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 31(4). 537–556. 57 indexed citations

20.

Lee, T.H., A.P. Loh, & V. Srinivasan. (1994). A technique for on-line parameter estimation based on an analog artificial neural net structure. Neurocomputing. 6(4). 405–417.

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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