Sangkee Min

3.6k total citations · 1 hit paper
88 papers, 2.7k citations indexed

About

Sangkee Min is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Sangkee Min has authored 88 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Mechanical Engineering, 42 papers in Biomedical Engineering and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Sangkee Min's work include Advanced machining processes and optimization (52 papers), Advanced Surface Polishing Techniques (40 papers) and Advanced Machining and Optimization Techniques (19 papers). Sangkee Min is often cited by papers focused on Advanced machining processes and optimization (52 papers), Advanced Surface Polishing Techniques (40 papers) and Advanced Machining and Optimization Techniques (19 papers). Sangkee Min collaborates with scholars based in United States, South Korea and Japan. Sangkee Min's co-authors include Yoshimi TAKEUCHI, D. A. Dornfeld, David Dornfeld, Jan C. Aurich, P.J. Arrazola, Thomas Behrendt, Vikki Franke, André Zein, Hae-Sung Yoon and Jin‐Soo Kim and has published in prestigious journals such as Advanced Functional Materials, Journal of Power Sources and Journal of Cleaner Production.

In The Last Decade

Sangkee Min

81 papers receiving 2.6k citations

Hit Papers

Recent Advances in Mechanical Micromachining 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangkee Min United States 26 2.0k 1.4k 1.2k 477 222 88 2.7k
Fuji Wang China 27 1.9k 1.0× 1.0k 0.7× 1.0k 0.9× 442 0.9× 149 0.7× 115 2.4k
Saqib Anwar Saudi Arabia 28 1.9k 1.0× 1.0k 0.7× 1.2k 1.0× 246 0.5× 134 0.6× 148 2.7k
Garret E. O’Donnell Ireland 26 2.4k 1.2× 882 0.6× 886 0.7× 717 1.5× 185 0.8× 75 3.2k
Choon-Man Lee South Korea 30 2.2k 1.1× 819 0.6× 1.0k 0.9× 312 0.7× 61 0.3× 180 2.7k
Asif Iqbal China 26 1.4k 0.7× 548 0.4× 768 0.6× 294 0.6× 92 0.4× 109 1.8k
Aqib Mashood Khan China 35 3.4k 1.8× 1.2k 0.8× 1.9k 1.6× 536 1.1× 279 1.3× 140 4.2k
Yi Wan China 28 1.6k 0.8× 1.4k 1.0× 635 0.5× 312 0.7× 75 0.3× 201 2.9k
Stanisław Legutko Poland 31 2.4k 1.2× 741 0.5× 845 0.7× 500 1.0× 102 0.5× 165 3.3k
Mustafa Kuntoğlu Türkiye 33 3.0k 1.6× 817 0.6× 1.5k 1.3× 711 1.5× 72 0.3× 79 3.4k
Barbara Linke United States 21 1.1k 0.5× 657 0.5× 468 0.4× 400 0.8× 134 0.6× 92 1.7k

Countries citing papers authored by Sangkee Min

Since Specialization
Citations

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

Fields of papers citing papers by Sangkee Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangkee Min

This figure shows the co-authorship network connecting the top 25 collaborators of Sangkee Min. A scholar is included among the top collaborators of Sangkee Min 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 Sangkee Min. Sangkee Min 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.
Min, Sangkee, Ganceng Yang, Yanqing Jiao, et al.. (2025). Modulation of Active Sites Induced by CoP via Mn Doping Enables Multifunctional Electrocatalytic Hydrogen Evolution, Oxygen Evolution, and Biomass Oxidation Reactions. Advanced Functional Materials. 36(6). 5 indexed citations
2.
Kim, Jong Seung, et al.. (2025). High performance soft magnetic composites with optimized Fe3O4 coating layer using rotary reactor-based sputtering. Materials & Design. 257. 114428–114428. 1 indexed citations
3.
Park, Soo Jung, et al.. (2025). Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach. Regional Anesthesia & Pain Medicine. rapm–2024. 1 indexed citations
4.
Al-Amin, Md., et al.. (2024). Real-time action localization of manual assembly operations using deep learning and augmented inference state machines. Journal of Manufacturing Systems. 72. 504–518. 3 indexed citations
5.
Khosravi, Hamed, et al.. (2024). Mechanical and microstructural profiling of additively manufactured cobalt–nickel functional gradient structure. Manufacturing Letters. 41. 1116–1124. 1 indexed citations
6.
Du, Yiyang, et al.. (2024). Theoretical and molecular dynamics studies of critical resolved shear stress for rhombohedral twinning of sapphire. Computational Materials Science. 244. 113278–113278. 2 indexed citations
7.
Min, Sangkee, et al.. (2024). Development of a wireless smart sensor system and case study on lifting risk assessment. Manufacturing Letters. 41. 229–240. 1 indexed citations
8.
Du, Yiyang, et al.. (2023). Studying Crack Generation Mechanism in Single-Crystal Sapphire During Ultra-precision Machining by MD Simulation-Based Slip/Fracture Activation Model. International Journal of Precision Engineering and Manufacturing. 24(5). 715–727. 13 indexed citations
10.
Prinz, Friedrich, Sangkee Min, & Jihwan An. (2023). Preface for NetZero, Achievable by Manufacturing?. International Journal of Precision Engineering and Manufacturing-Green Technology. 10(3). 635–636. 1 indexed citations
11.
Min, Sangkee, et al.. (2022). Intelligent Operation Monitoring of an Ultra-Precision CNC Machine Tool Using Energy Data. International Journal of Precision Engineering and Manufacturing-Green Technology. 10(1). 59–69. 44 indexed citations
13.
Moon, Jungyoon, Ji Young Yoon, Ji Hoon Yang, et al.. (2019). Atrophic acne scar: a process from altered metabolism of elastic fibres and collagen fibres based on transforming growth factor‐β1 signalling. British Journal of Dermatology. 181(6). 1226–1237. 55 indexed citations
14.
Yoon, Hae-Sung, Hyun‐Taek Lee, Chung-Soo Kim, et al.. (2017). CAD/CAM for scalable nanomanufacturing: A network-based system for hybrid 3D printing. Microsystems & Nanoengineering. 3(1). 17072–17072. 5 indexed citations
15.
Min, Sangkee, et al.. (2015). Fractional Microneedling Radiofrequency Treatment for Acne-related Post-inflammatory Erythema. Acta Dermato Venereologica. 96(1). 87–91. 42 indexed citations
16.
Min, Sangkee, et al.. (2007). Finite Element Modeling of Burr Formation in Metal Cutting. eScholarship (California Digital Library). 3 indexed citations
17.
Min, Sangkee, et al.. (2006). Scalability of Tool Path Planning to Micro Machining. eScholarship (California Digital Library). 13 indexed citations
18.
Min, Sangkee, et al.. (2006). Variation in Machinability of Single Crystal Materials in Micromechanical Machining. eScholarship (California Digital Library). 1 indexed citations
19.
Min, Sangkee, et al.. (2004). Finite Element Modeling of Burr Formation in Drilling of a Multi-Layered Material. eScholarship (California Digital Library). 8 indexed citations
20.
Min, Sangkee, et al.. (2003). Modeling of Inter-Layer Gap Formation in Drilling of a Multi-Layered Material. eScholarship (California Digital Library). 19 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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