Sang-Jo Lee
Impact in
-
- Advanced Measurement and Metrology Techniques
- Advanced machining processes and optimization
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
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- Natural Language Processing Techniques 12
- Topic Modeling 9
- Semantic Web and Ontologies 6
- Advanced Text Analysis Techniques 4
- Co-authors
- Seong-Bae ParkBo‐Yeong KangSooyeon LimSe‐Young ParkSung‐Min ChoiSung‐Jun ParkJahar DeyDong-Jin Kang
- Journals
- Nano Letters (3 papers)International Journal of Precision Engineering and Manufacturing (3 papers)Journal of Materials Processing Technology (1 paper)Chemistry of Materials (1 paper)Soft Matter (1 paper)
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Sang-Jo Lee
42 papers receiving 270 citations
Peers
Comparison fields: 5 of 65
- Mechanical Engineering 108
- Artificial Intelligence 93
- Computational Mechanics 58
- Information Systems 57
- Industrial and Manufacturing Engineering 24
Countries citing papers authored by Sang-Jo Lee
This map shows the geographic impact of Sang-Jo 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 Sang-Jo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang-Jo Lee more than expected).
Fields of papers citing papers by Sang-Jo Lee
This network shows the impact of papers produced by Sang-Jo 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 Sang-Jo Lee. The network helps show where Sang-Jo Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sang-Jo Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2016 | 0 | |
| 3 | A Cost Sensitive Part-of-Speech Tagging: Differentiating Serious Errors from Minor Errors | 2012 | 6 |
| 4 | 2010 | 7 | |
| 5 | 2010 | 4 | |
| 6 | An Experimental Study of Valve Seat Material Galling Characteristics in Waterworks | 2007 | 3 |
| 7 | Fabrication of the Large Area Silicon Mirror of Slim Optical Pickup using Micromachining Technology | 2006 | 2 |
| 8 | Micro/Meso-scale Shapes Machining by Micro EDM Process | 2005 | 14 |
| 9 | Tool Electrode Wear Compensation using Round Trip Method for Machining Cavities in Micro EDM Process | 2004 | 1 |
| 10 | Surface Finishing Technique for Micro 3-Dimensional Structures Using ER Fluid | 2004 | 1 |
| 11 | Hub Word Based Ontology Construction for Document Retrieval. | 2003 | 1 |
| 12 | Effect of Mg-Sulfate and Mg-Hydroxide on Growth of Chinese Cabbage | 2003 | 1 |
| 13 | Characteristics of Environment-friendly Semi-dry Turning | 2002 | 2 |
| 14 | A Real-time Audio Streaming Method for Time-varying Network Loads | 2002 | 1 |
| 15 | Environment-friendly Cutting Process Technology | 2001 | 2 |
| 16 | The Toolpath Generation for Free-Formed Surface with the Flat Endmill | 2001 | 1 |
| 17 | Research about Tool Wear Monitoring in CNC Lathe Machining | 2000 | 0 |
| 18 | Chip Breaking Prediction in Turning Process Considering Cutting Conditions and Chip Breaker Parameters | 1999 | 0 |
| 19 | 1999 | 1 | |
| 20 | Development of Automatic Tool Changer with Servo-Motor | 1999 | 0 |
About Sang-Jo Lee
Sang-Jo Lee is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Information Systems, Transportation and Industrial and Manufacturing Engineering, having authored 53 papers that have together received 298 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (9 papers), Advanced Surface Polishing Techniques (7 papers), Advanced machining processes and optimization (6 papers), Semantic Web and Ontologies (6 papers), Quantum Dots Synthesis And Properties (5 papers), Advanced Text Analysis Techniques (4 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Mechanical Engineering (108 citations), Artificial Intelligence (93 citations), Computational Mechanics (58 citations), Information Systems (57 citations) and Industrial and Manufacturing Engineering (24 citations). Sang-Jo Lee has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Seong-Bae Park, Bo‐Yeong Kang, Sooyeon Lim, Se‐Young Park, Sung‐Min Choi, Sung‐Jun Park, Jahar Dey, Dong-Jin Kang, Jiwhan Kim and Youngtae Kim. Their work appears in journals such as Nano Letters, International Journal of Precision Engineering and Manufacturing, Journal of Materials Processing Technology, Chemistry of Materials and Soft Matter.
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.