Jae-Woo Lee

564 total citations
48 papers, 362 citations indexed

About

Jae-Woo Lee is a scholar working on Aerospace Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jae-Woo Lee has authored 48 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aerospace Engineering, 13 papers in Computer Networks and Communications and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Jae-Woo Lee's work include IoT and Edge/Fog Computing (10 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Probabilistic and Robust Engineering Design (7 papers). Jae-Woo Lee is often cited by papers focused on IoT and Edge/Fog Computing (10 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Probabilistic and Robust Engineering Design (7 papers). Jae-Woo Lee collaborates with scholars based in South Korea, Brazil and United States. Jae-Woo Lee's co-authors include Tuấn Anh Nguyễn, Maxim Tyan, William H. Mason, Francisco Airton Silva, Keemin Sohn, Dugki Min, Nhu Van Nguyen, Carlos Brito, Eunmi Choi and Jaehyun An and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Access and Sensors.

In The Last Decade

Jae-Woo Lee

41 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jae-Woo Lee South Korea	12	132	73	61	61	43	48	362
Maxim Tyan South Korea	11	199 1.5×	17 0.2×	58 1.0×	118 1.9×	50 1.2×	39	413
Natasha Neogi United States	13	449 3.4×	53 0.7×	15 0.2×	64 1.0×	63 1.5×	61	665
Frank Thielecke Germany	14	264 2.0×	25 0.3×	20 0.3×	36 0.6×	75 1.7×	122	625
Hernando Jiménez United States	13	263 2.0×	16 0.2×	36 0.6×	141 2.3×	53 1.2×	55	566
Zahid Ansari India	12	73 0.6×	50 0.7×	70 1.1×	14 0.2×	37 0.9×	30	492
Davide Zanetti Italy	12	188 1.4×	97 1.3×	23 0.4×	155 2.5×	66 1.5×	20	639
Emre Koyuncu Türkiye	12	284 2.2×	35 0.5×	13 0.2×	22 0.4×	126 2.9×	60	391
Murat Yasar United States	8	113 0.9×	18 0.2×	28 0.5×	10 0.2×	15 0.3×	24	325
Geng Zhang China	11	49 0.4×	24 0.3×	15 0.2×	9 0.1×	111 2.6×	54	392

Countries citing papers authored by Jae-Woo Lee

Since Specialization

Citations

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

Fields of papers citing papers by Jae-Woo Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

Tyan, Maxim, et al.. (2025). Possibility-Based Sizing Method for Hybrid Electric Aircraft. IEEE Access. 13. 20945–20959. 1 indexed citations

Silva, Francisco Airton, Iure Fé, André Soares, et al.. (2024). Transactional dynamics in hyperledger fabric: A stochastic modeling and performance evaluation of permissioned blockchains. ICT Express. 11(1). 87–92.

Brito, Carlos, Iure Fé, Eunmi Choi, et al.. (2024). Event-Based Moving Target Defense in Cloud Computing With VM Migration: A Performance Modeling Approach. IEEE Access. 12. 165539–165554. 5 indexed citations

Nguyễn, Tuấn Anh, et al.. (2024). YOLOTransfer-DT: An Operational Digital Twin Framework with Deep and Transfer Learning for Collision Detection and Situation Awareness in Urban Aerial Mobility. Aerospace. 11(3). 179–179. 9 indexed citations

Nguyen, Nghia, et al.. (2024). Integrated Propulsion System Analysis Framework for Designing Advanced Air Mobility Aircraft. IEEE Transactions on Transportation Electrification. 10(4). 10219–10238.

Brito, Carlos, Bruno Nogueira, Eunmi Choi, et al.. (2023). Urban Advanced Mobility Dependability: A Model-Based Quantification on Vehicular Ad Hoc Networks with Virtual Machine Migration. Sensors. 23(23). 9485–9485. 6 indexed citations

Fé, Iure, Tuấn Anh Nguyễn, Seokho Son, et al.. (2023). Model-Driven Dependability and Power Consumption Quantification of Kubernetes-Based Cloud-Fog Continuum. IEEE Access. 11. 140826–140852. 6 indexed citations

Lee, Youngjae, et al.. (2023). Functional Analysis and Validation of a UAM Integrated Flight Management (UIFM) System. International Journal of Aeronautical and Space Sciences. 25(2). 749–758. 1 indexed citations

Tyan, Maxim, et al.. (2023). Extended Hierarchical Kriging Method for Aerodynamic Model Generation Incorporating Multiple Low-Fidelity Datasets. Aerospace. 11(1). 6–6. 3 indexed citations

10.

Lee, Hyunjun, et al.. (2022). Multivehicle Point-to-Point Network Problem Formulation for UAM Operation Management Used with Dynamic Scheduling. Applied Sciences. 12(22). 11858–11858. 3 indexed citations

11.

Mattos, César, et al.. (2022). Evaluating Link Lifetime Prediction to Support Computational Offloading Decision in VANETs. Sensors. 22(16). 6038–6038.

12.

Silva, Francisco Airton, Carlos Brito, Iure Fé, et al.. (2022). Model-Driven Impact Quantification of Energy Resource Redundancy and Server Rejuvenation on the Dependability of Medical Sensor Networks in Smart Hospitals. Sensors. 22(4). 1595–1595. 13 indexed citations

13.

Tyan, Maxim, et al.. (2022). Rapid Airfoil Inverse Design Method with a Deep Neural Network and Hyperparameter Selection. International Journal of Aeronautical and Space Sciences. 24(1). 33–46. 7 indexed citations

14.

Brito, Carlos, Gustavo Callou, Tuấn Anh Nguyễn, et al.. (2021). Offloading Data through Unmanned Aerial Vehicles: A Dependability Evaluation. Electronics. 10(16). 1916–1916. 9 indexed citations

15.

Nguyễn, Tuấn Anh, et al.. (2021). Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network. Electronics. 10(21). 2626–2626. 7 indexed citations

16.

Soares, André, et al.. (2021). IoT Sensor Networks in Smart Buildings: A Performance Assessment Using Queuing Models. Sensors. 21(16). 5660–5660. 16 indexed citations

17.

Lee, Youngjae, Junseok Lee, & Jae-Woo Lee. (2021). Holding Area Conceptual Design and Validation for Various Urban Air Mobility (UAM) Operations: A Case Study in Seoul–GyungIn Area. Applied Sciences. 11(22). 10707–10707. 6 indexed citations

18.

Silva, Francisco Airton, et al.. (2021). Surveillance System in Smart Cities: A Dependability Evaluation Based on Stochastic Models. Electronics. 10(8). 876–876. 10 indexed citations

19.

Brito, Carlos, Iure Fé, Tuấn Anh Nguyễn, et al.. (2021). Stochastic Model Driven Performance and Availability Planning for a Mobile Edge Computing System. Applied Sciences. 11(9). 4088–4088. 6 indexed citations

20.

Lee, Youngjae, et al.. (2020). Flight Routes Establishment Through the Operational Concept Analysis of Urban Air Mobility System. Journal of the Korean Society for Aeronautical & Space Sciences. 48(12). 1021–1031. 3 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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