Changhee Lee

520 total citations
28 papers, 278 citations indexed

About

Changhee Lee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Surgery. According to data from OpenAlex, Changhee Lee has authored 28 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 8 papers in Computer Networks and Communications and 7 papers in Surgery. Recurrent topics in Changhee Lee's work include Advanced MIMO Systems Optimization (9 papers), Cooperative Communication and Network Coding (6 papers) and Advanced Wireless Network Optimization (5 papers). Changhee Lee is often cited by papers focused on Advanced MIMO Systems Optimization (9 papers), Cooperative Communication and Network Coding (6 papers) and Advanced Wireless Network Optimization (5 papers). Changhee Lee collaborates with scholars based in South Korea, United States and United Kingdom. Changhee Lee's co-authors include Mihaela van der Schaar, Jinsung Yoon, Nelson F. SooHoo, Sai K. Devana, Akash Shah, Sung-Min Oh, Aesoon Park, Alexander Light, Andrew R. Jensen and Vincent J. Gnanapragasam and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Changhee Lee

22 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changhee Lee South Korea 7 89 59 45 43 33 28 278
Michael Lingzhi Li United States 10 90 1.0× 50 0.8× 48 1.1× 32 0.7× 42 1.3× 31 445
Regina Padmanabhan Qatar 11 63 0.7× 49 0.8× 33 0.7× 18 0.4× 24 0.7× 30 415
Meng-Ju Hsieh Taiwan 13 63 0.7× 29 0.5× 42 0.9× 4 0.1× 34 1.0× 21 340
Sakyajit Bhattacharya India 11 108 1.2× 30 0.5× 23 0.5× 10 0.2× 26 0.8× 25 286
Holly Wiberg United States 9 169 1.9× 19 0.3× 123 2.7× 11 0.3× 41 1.2× 11 474
Colleen M. Ennett Canada 10 122 1.4× 75 1.3× 15 0.3× 13 0.3× 52 1.6× 26 311
Laura Azzimonti Switzerland 12 45 0.5× 33 0.6× 38 0.8× 51 1.2× 13 0.4× 20 447
Adarsh Subbaswamy United States 5 102 1.1× 11 0.2× 40 0.9× 11 0.3× 22 0.7× 10 327
Shane R. Reti United States 8 107 1.2× 32 0.5× 11 0.2× 26 0.6× 42 1.3× 18 260
Ran Lee United States 8 149 1.7× 26 0.4× 23 0.5× 6 0.1× 13 0.4× 36 365

Countries citing papers authored by Changhee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Changhee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changhee Lee

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

All Works

20 of 20 papers shown
1.
Lee, Changhee, Dor Lotan, J. Fried, et al.. (2025). Vericiguat Experience in Durable Left Ventricular Assist Device Patients. Artificial Organs. 49(5). 907–910. 1 indexed citations
2.
Lee, Changhee, et al.. (2024). Development of a Predictive Model for Survival Over Time in Patients With Out-of-Hospital Cardiac Arrest Using Ensemble-Based Machine Learning. CIN Computers Informatics Nursing. 42(5). 388–395. 1 indexed citations
3.
Lee, Changhee, et al.. (2024). BioBridge: Unified Bio-Embedding With Bridging Modality in Code-Switched EMR. IEEE Access. 12. 141866–141877.
4.
Karas, Maria, Changhee Lee, Daniel Oren, et al.. (2024). Mechanical circulatory support for cardiogenic shock during the peripartum period. Artificial Organs. 49(2). 276–280. 3 indexed citations
5.
Lee, Changhee, et al.. (2024). DSG-KD: Knowledge Distillation From Domain-Specific to General Language Models. IEEE Access. 12. 130973–130982.
6.
Park, Hyun‐Seo, et al.. (2024). Mobility Management Paradigm Shift: From Reactive to Proactive Handover Using AI/ML. IEEE Network. 38(2). 18–25. 6 indexed citations
7.
Shah, Akash, Sai K. Devana, Changhee Lee, & Nelson F. SooHoo. (2024). A predictive algorithm for perioperative complications and readmission after ankle arthrodesis. European Journal of Orthopaedic Surgery & Traumatology. 34(3). 1373–1379.
9.
Shah, Akash, Sai K. Devana, Changhee Lee, et al.. (2022). A Risk Calculator for the Prediction of C5 Nerve Root Palsy After Instrumented Cervical Fusion. World Neurosurgery. 166. e703–e710. 6 indexed citations
10.
Devana, Sai K., Akash Shah, Changhee Lee, et al.. (2022). Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements. SHILAP Revista de lepidopterología. 6. 4131995636–4131995636. 11 indexed citations
11.
Lee, Changhee, et al.. (2022). Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer. npj Digital Medicine. 5(1). 110–110. 17 indexed citations
12.
Devana, Sai K., Akash Shah, Changhee Lee, et al.. (2021). Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty. SHILAP Revista de lepidopterología. 5. 4121958364–4121958364. 16 indexed citations
13.
Devana, Sai K., et al.. (2021). A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty. Arthroplasty Today. 10. 135–143. 23 indexed citations
14.
Lee, Changhee, Jinsung Yoon, & Mihaela van der Schaar. (2019). Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data. IEEE Transactions on Biomedical Engineering. 67(1). 122–133. 159 indexed citations
15.
Lee, Changhee, Sung-Min Oh, & Jaesheung Shin. (2015). Resource allocation for device-to-device communications based on graph-coloring. 451–455. 3 indexed citations
16.
Lee, Changhee, Sung-Min Oh, & Aesoon Park. (2014). Interference Avoidance Resource Allocation for Device-to-Device Communication Based on Graph-Coloring. The Journal of Korean Institute of Communications and Information Sciences. 39A(12). 729–738.
17.
Moon, Sunghyun, Changhee Lee, Sang-Rim Lee, & Inkyu Lee. (2013). A joint adaptive beamforming and user scheduling algorithm for downlink network MIMO systems. 24. 5392–5397. 3 indexed citations
18.
Lee, Changhee, Eunsung Park, & Inkyu Lee. (2012). Antenna Placement Designs for Distributed Antenna Systems with Multiple-Antenna Ports. The Journal of Korean Institute of Communications and Information Sciences. 37A(10). 865–875. 1 indexed citations
19.
Lee, Changhee & Heejo Lee. (2007). A password stretching method using user specific salts. 1215–1216. 1 indexed citations
20.
Cheon, Chae Il, et al.. (1999). Crystal Structure and Microwave Dielectric Properties of CaTiO_3-(Li_ Nd_ )TiO_3-(Ln_ Nd_ )TiO_3(Ln=La, Dy)Ceramics. 38(9). 5633–5637. 2 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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