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

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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 →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
C.K.M. Lee	2.3k	1.5k	1.2k	717	698	316	7.1k
Yang Liu	2.6k 1.1×	2.0k 1.3×	1.0k 0.9×	455 0.6×	822 1.2×	303	7.6k
K.L. Choy	2.6k 1.1×	1.8k 1.2×	1.8k 1.6×	467 0.7×	1.2k 1.8×	190	7.1k
Ashutosh Tiwari	1.9k 0.8×	1.1k 0.7×	1.1k 1.0×	557 0.8×	495 0.7×	270	6.8k
Erfan Babaee Tırkolaee	1.5k 0.7×	2.0k 1.4×	974 0.8×	745 1.0×	1.1k 1.5×	188	6.0k
Amir M. Fathollahi‐Fard	2.1k 0.9×	2.2k 1.5×	1.1k 0.9×	839 1.2×	792 1.1×	142	7.2k
Sai‐Ho Chung	2.4k 1.0×	2.4k 1.6×	1.5k 1.3×	429 0.6×	670 1.0×	210	6.6k
Xiang Li	1.4k 0.6×	1.5k 1.0×	1.2k 1.0×	466 0.6×	871 1.2×	200	4.9k
Masoud Rabbani	2.5k 1.1×	1.9k 1.3×	1.5k 1.3×	661 0.9×	839 1.2×	302	5.7k
Mostafa Hajiaghaei–Keshteli	1.9k 0.8×	3.0k 2.0×	1.4k 1.2×	1.2k 1.6×	933 1.3×	185	7.8k
C. H. Glock	3.5k 1.5×	2.6k 1.8×	2.6k 2.2×	581 0.8×	479 0.7×	188	6.9k

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

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20 of 20 papers shown

Lee, C.K.M., et al.. (2025). Design and Development of a Trust Mechanism to Enhance Security Protection in SDN‐Based IoT Network. International Journal of Network Management. 35(3). 1 indexed citations

Zhao, Zhonghao, et al.. (2025). A graph attention-based policy gradient method with an adaptive embedding strategy for k-center problems. Applied Soft Computing. 173. 112929–112929.

Tsang, Yung Po, et al.. (2025). Unraveling consumer resistance to innovative marketing in web 3.0: empirical findings and large language model insights. Enterprise Information Systems. 19(1-2). 4 indexed citations

Zhang, Kening, Yung Po Tsang, C.K.M. Lee, & C.H. Wu. (2025). Integrating large language models with explainable fuzzy inference systems for trusty steel defect detection. Pattern Recognition Letters. 192. 29–35. 5 indexed citations

Liu, Xingchen, et al.. (2024). Fault diagnosis based on incomplete sensor variables with a hierarchical semi-supervised Gaussian mixture classifier. Applied Mathematical Modelling. 138. 115764–115764.

Lee, C.K.M., et al.. (2024). Generating TRIZ-inspired guidelines for eco-design using Generative Artificial Intelligence. Advanced Engineering Informatics. 62. 102846–102846. 12 indexed citations

Zhao, Zhonghao, et al.. (2024). Reinforcement learning for electric vehicle charging scheduling: A systematic review. Transportation Research Part E Logistics and Transportation Review. 190. 103698–103698. 20 indexed citations

Chung, King-Thom, et al.. (2024). Multi-objective evolutionary architectural pruning of deep convolutional neural networks with weights inheritance. Information Sciences. 685. 121265–121265. 4 indexed citations

Liu, Haishi, Yung Po Tsang, C.K.M. Lee, Yutong Wang, & Fei‐Yue Wang. (2024). Internet of UAVs to Automate Search and Rescue Missions in Post-Disaster for Smart Cities. 614–619.

10.

Lv, Yaqiong, Xiaohu Zhang, Yiwei Cheng, & C.K.M. Lee. (2024). Intelligent fault diagnosis of machinery based on hybrid deep learning with multi temporal correlation feature fusion. Quality and Reliability Engineering International. 40(6). 3517–3536. 6 indexed citations

11.

Tang, Yuk Ming, et al.. (2023). Real-time Mixed Reality (MR) and Artificial Intelligence (AI) object recognition integration for digital twin in Industry 4.0. Internet of Things. 23. 100753–100753. 41 indexed citations

12.

Zhao, Zhonghao, C.K.M. Lee, & Jingzheng Ren. (2023). A two-level charging scheduling method for public electric vehicle charging stations considering heterogeneous demand and nonlinear charging profile. Applied Energy. 355. 122278–122278. 43 indexed citations

13.

Lee, C.K.M., et al.. (2023). Fault diagnosis in rotating machines based on transfer learning: Literature review. Knowledge-Based Systems. 283. 111158–111158. 96 indexed citations breakdown →

14.

Zhao, Zhonghao, C.K.M. Lee, Jingzheng Ren, & Yung Po Tsang. (2023). Optimal EV Fast Charging Station Deployment Based on a Reinforcement Learning Framework. IEEE Transactions on Intelligent Transportation Systems. 24(8). 8053–8065. 29 indexed citations

15.

Tsang, Yung Po, C.H. Wu, & C.K.M. Lee. (2022). BlockTrainHK: An online learning game for experiencing blockchain concepts. SoftwareX. 19. 101167–101167. 5 indexed citations

16.

Nakandala, Dilupa, Yung Po Tsang, H.C.W. Lau, & C.K.M. Lee. (2022). An Industrial Blockchain-Based Multi-Criteria Decision Framework for Global Freight Management in Agricultural Supply Chains. Mathematics. 10(19). 3550–3550. 8 indexed citations

17.

Lee, C.K.M., et al.. (2021). Formulation and Prioritization of Sustainable New Product Design in Smart Glasses Development. Sustainability. 13(18). 10323–10323. 6 indexed citations

18.

Lau, H.C.W., Yung Po Tsang, Dilupa Nakandala, & C.K.M. Lee. (2021). Risk quantification in cold chain management: a federated learning-enabled multi-criteria decision-making methodology. Industrial Management & Data Systems. 121(7). 1684–1703. 28 indexed citations

19.

Yang, Xiaolong, Hongtao Wu, Yao Li, et al.. (2020). Dynamics and Isotropic Control of Parallel Mechanisms for Vibration Isolation. IEEE/ASME Transactions on Mechatronics. 25(4). 2027–2034. 39 indexed citations

20.

Lee, C.K.M., et al.. (2011). Integrating analytical hierarchy process to genetic algorithm for re-entrant flow shop scheduling problem. International Journal of Production Research. 50(7). 1813–1824. 17 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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