C.K.M. Lee

10.1k total citations · 4 hit papers
316 papers, 7.1k citations indexed

About

C.K.M. Lee is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Strategy and Management. According to data from OpenAlex, C.K.M. Lee has authored 316 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Industrial and Manufacturing Engineering, 72 papers in Management Information Systems and 52 papers in Strategy and Management. Recurrent topics in C.K.M. Lee's work include Advanced Manufacturing and Logistics Optimization (49 papers), Sustainable Supply Chain Management (40 papers) and Manufacturing Process and Optimization (28 papers). C.K.M. Lee is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (49 papers), Sustainable Supply Chain Management (40 papers) and Manufacturing Process and Optimization (28 papers). C.K.M. Lee collaborates with scholars based in Hong Kong, China and Singapore. C.K.M. Lee's co-authors include Kam K.H. Ng, K.L. Choy, William Ho, H.C.W. Lau, G.T.S. Ho, Shuzhu Zhang, Yaqiong Lv, K. L. Keung, Yung Po Tsang and Danping Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

C.K.M. Lee

293 papers receiving 6.8k 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.

Design and application of Internet of things-based warehouse management system for smart logistics

2017 288 citations C.K.M. Lee, Yaqiong Lv et al. International Journal of Production Research profile →
Strategic response to Industry 4.0: an empirical investigation on the Chinese automotive industry

2018 240 citations C.K.M. Lee, H.C.W. Lau et al. Industrial Management & Data Systems profile →
AR-assisted digital twin-enabled robot collaborative manufacturing system with human-in-the-loop

2022 140 citations C.K.M. Lee et al. profile →
Fault diagnosis in rotating machines based on transfer learning: Literature review

2023 96 citations C.K.M. Lee, K. L. Keung et al. Knowledge-Based Systems profile →

Peers

Countries citing papers authored by C.K.M. Lee

Since Specialization

Citations

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

Fields of papers citing papers by C.K.M. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.K.M. 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 C.K.M. Lee. The network helps show where C.K.M. Lee may publish in the future.

Co-authorship network of co-authors of C.K.M. Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A graph attention-based policy gradient method with an adaptive embedding strategy for k-center problems 2025 ·Applied Soft Computing ·Zhonghao Zhao, C.K.M. Lee, (unknown)	0
2	Design and Development of a Trust Mechanism to Enhance Security Protection in SDN‐Based IoT Network 2025 ·International Journal of Network Management ·(unknown), C.K.M. Lee, Ting Wang	1
3	Reinforcement learning for electric vehicle charging scheduling: A systematic review 2024 ·Transportation Research Part E Logistics and Transportation Review ·Zhonghao Zhao, C.K.M. Lee, (unknown), Haonan Wang	20
4	Multi-objective evolutionary architectural pruning of deep convolutional neural networks with weights inheritance 2024 ·Information Sciences ·King-Thom Chung, C.K.M. Lee, Yung Po Tsang, Chong Wu, (unknown)	4
5	Fault diagnosis based on incomplete sensor variables with a hierarchical semi-supervised Gaussian mixture classifier 2024 ·Applied Mathematical Modelling ·Xingchen Liu, C.K.M. Lee, Hanxiao Zhang, (unknown), Jingyuan Huang, (unknown)	0
6	Generating TRIZ-inspired guidelines for eco-design using Generative Artificial Intelligence 2024 ·Advanced Engineering Informatics ·C.K.M. Lee, (unknown), Kai Leung Yung, K. L. Keung	12
7	UAV Trajectory Planning via Viewpoint Resampling for Autonomous Remote Inspection of Industrial Facilities 2024 ·IEEE Transactions on Industrial Informatics ·Haishi Liu, Yung Po Tsang, C.K.M. Lee, C.H. Wu	16
8	Internet of UAVs to Automate Search and Rescue Missions in Post-Disaster for Smart Cities 2024 ·Haishi Liu, Yung Po Tsang, C.K.M. Lee, Yutong Wang, Fei‐Yue Wang	0
9	Intelligent fault diagnosis of machinery based on hybrid deep learning with multi temporal correlation feature fusion 2024 ·Quality and Reliability Engineering International ·Yaqiong Lv, Xiaohu Zhang, Yiwei Cheng, C.K.M. Lee	6
10	Gamified Blockchain Education in Experiential Learning: An Analysis of Students’ Cognitive Well-Being 2024 ·IEEE Transactions on Education ·Yung Po Tsang, C.K.M. Lee, C.H. Wu, (unknown)	1
11	Real-time Mixed Reality (MR) and Artificial Intelligence (AI) object recognition integration for digital twin in Industry 4.0 2023 ·Internet of Things ·Yuk Ming Tang, (unknown), C.K.M. Lee	41
12	A two-level charging scheduling method for public electric vehicle charging stations considering heterogeneous demand and nonlinear charging profile 2023 ·Applied Energy ·Zhonghao Zhao, C.K.M. Lee, Jingzheng Ren	43
13	Fault diagnosis in rotating machines based on transfer learning: Literature review breakdown → 2023 ·Knowledge-Based Systems ·(unknown), C.K.M. Lee, K. L. Keung	96
14	A cyber-physical social system for autonomous drone trajectory planning in last-mile superchilling delivery 2023 ·Transportation Research Part C Emerging Technologies ·Haishi Liu, Yung Po Tsang, C.K.M. Lee	15
15	A Blockchain-IoT Platform for the Smart Pallet Pooling Management 2021 ·Sensors ·C.H. Wu, Yung Po Tsang, C.K.M. Lee, Wai-Ki Ching	18
16	Risk quantification in cold chain management: a federated learning-enabled multi-criteria decision-making methodology 2021 ·Industrial Management & Data Systems ·H.C.W. Lau, Yung Po Tsang, Dilupa Nakandala, C.K.M. Lee	28
17	Formulation and Prioritization of Sustainable New Product Design in Smart Glasses Development 2021 ·Sustainability ·C.K.M. Lee, (unknown), Yung Po Tsang	6
18	Dynamics and Isotropic Control of Parallel Mechanisms for Vibration Isolation 2020 ·IEEE/ASME Transactions on Mechatronics ·Xiaolong Yang, Hongtao Wu, Yao Li, Shengzheng Kang, Bai Chen, Huimin Lu, C.K.M. Lee, Ping Ji	39
19	Integrating analytical hierarchy process to genetic algorithm for re-entrant flow shop scheduling problem 2011 ·International Journal of Production Research ·(unknown), C.K.M. Lee, Zhang Wu	17
20	A review of the research methodology for the re-entrant scheduling problem 2010 ·International Journal of Production Research ·(unknown), C.K.M. Lee	54

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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