Wo Jae Lee

638 total citations
14 papers, 413 citations indexed

About

Wo Jae Lee is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Wo Jae Lee has authored 14 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Industrial and Manufacturing Engineering, 7 papers in Mechanical Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Wo Jae Lee's work include Manufacturing Process and Optimization (7 papers), Fault Detection and Control Systems (5 papers) and Advanced machining processes and optimization (4 papers). Wo Jae Lee is often cited by papers focused on Manufacturing Process and Optimization (7 papers), Fault Detection and Control Systems (5 papers) and Advanced machining processes and optimization (4 papers). Wo Jae Lee collaborates with scholars based in United States and China. Wo Jae Lee's co-authors include John W. Sutherland, Gamini Mendis, Haiyue Wu, Martin Byung‐Guk Jun, Han‐Jun Kim, Huitaek Yun, Matthew J. Triebe, Fu Zhao, Bruno Ribeiro and Aihua Huang and has published in prestigious journals such as Journal of Cleaner Production, Sensors and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Wo Jae Lee

14 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wo Jae Lee United States	9	166	144	124	62	49	14	413
Marcel Kettelgerdes Germany	5	71 0.4×	119 0.8×	46 0.4×	53 0.9×	48 1.0×	12	323
Gaige Chen China	7	119 0.7×	216 1.5×	170 1.4×	48 0.8×	16 0.3×	10	456
Mariya Dimitrova Canada	11	93 0.6×	177 1.2×	145 1.2×	28 0.5×	63 1.3×	17	629
Haiyue Wu United States	8	92 0.6×	144 1.0×	78 0.6×	47 0.8×	9 0.2×	10	310
S. Savio Italy	12	140 0.8×	187 1.3×	69 0.6×	38 0.6×	66 1.3×	41	547
Zoi Arkouli Greece	11	268 1.6×	135 0.9×	74 0.6×	19 0.3×	24 0.5×	20	434
Fernando Romero Spain	12	408 2.5×	65 0.5×	392 3.2×	48 0.8×	16 0.3×	46	677
Andreas Kimmig Germany	9	67 0.4×	107 0.7×	41 0.3×	38 0.6×	11 0.2×	18	283
Xiaoliang Jia China	12	267 1.6×	56 0.4×	114 0.9×	26 0.4×	28 0.6×	32	463

Countries citing papers authored by Wo Jae Lee

Since Specialization

Citations

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

Fields of papers citing papers by Wo Jae Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wo Jae Lee

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

14 of 14 papers shown

Sutherland, John W., Fu Zhao, Andrés F. Clarens, et al.. (2024). Current state and emerging trends in advanced manufacturing: smart systems. The International Journal of Advanced Manufacturing Technology. 7 indexed citations

Sutherland, John W., Fu Zhao, Andrés F. Clarens, et al.. (2024). Current state and emerging trends in advanced manufacturing: process technologies. The International Journal of Advanced Manufacturing Technology. 135(9-10). 4089–4118. 5 indexed citations

Lee, Wo Jae & John W. Sutherland. (2023). Time to failure prediction of rotating machinery using dynamic feature extraction and gaussian process regression. The International Journal of Advanced Manufacturing Technology. 130(5-6). 2939–2955. 3 indexed citations

Abdallah, Mustafa, Wo Jae Lee, Charilaos Mousoulis, et al.. (2023). Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets. Sensors. 23(1). 486–486. 24 indexed citations

Lee, Wo Jae & Emanuele Coviello. (2022). A Multimodal Strategy for Singing Language Identification. Interspeech 2022. 2243–2247. 1 indexed citations

Lee, Wo Jae, et al.. (2022). Environmental and economic performance of different maintenance strategies for a product subject to efficiency erosion. Journal of Cleaner Production. 389. 135340–135340. 4 indexed citations

Lee, Wo Jae, et al.. (2020). Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery. Journal of Intelligent Manufacturing. 32(2). 393–406. 38 indexed citations

Lee, Wo Jae, et al.. (2020). Development and Application of a Method for Real Time Motor Fault Detection. Procedia Manufacturing. 49. 94–98. 10 indexed citations

Lee, Wo Jae, Gamini Mendis, & John W. Sutherland. (2019). Development of an Intelligent Tool Condition Monitoring System to Identify Manufacturing Tradeoffs and Optimal Machining Conditions. Procedia Manufacturing. 33. 256–263. 33 indexed citations

10.

Yang, Yiran, et al.. (2019). Reusable unit process life cycle inventory for manufacturing: stereolithography. Production Engineering. 13(6). 675–684. 15 indexed citations

11.

Lee, Wo Jae, Haiyue Wu, Huitaek Yun, et al.. (2019). Predictive Maintenance of Machine Tool Systems Using Artificial Intelligence Techniques Applied to Machine Condition Data. Procedia CIRP. 80. 506–511. 142 indexed citations

12.

Lee, Wo Jae, Haiyue Wu, Aihua Huang, & John W. Sutherland. (2019). Learning via acceleration spectrograms of a DC motor system with application to condition monitoring. The International Journal of Advanced Manufacturing Technology. 106(3-4). 803–816. 17 indexed citations

13.

Lee, Wo Jae, Gamini Mendis, Matthew J. Triebe, & John W. Sutherland. (2019). Monitoring of a machining process using kernel principal component analysis and kernel density estimation. Journal of Intelligent Manufacturing. 31(5). 1175–1189. 81 indexed citations

14.

Lee, Wo Jae, et al.. (2018). An Experimental Study on the Energy Consumption and Emission Profile of Fused Deposition Modeling Process. Procedia Manufacturing. 26. 920–928. 33 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.

Explore authors with similar magnitude of impact