Tae Jo Ko

6.2k citations
313 papers · 4.7k indexed · h-index 34

Impact in

Papers in

Tae Jo Ko

289 papers receiving 4.5k citations

Peers

Tae Jo Ko
Comparison fields: 5 of 106
  • Mechanical Engineering 3.2k
  • Biomedical Engineering 2.1k
  • Industrial and Manufacturing Engineering 470
  • Ecological Modeling 194
  • Electrical and Electronic Engineering 2.3k
Replace Zhanqiang Liu with:
Zhanqiang Liu China
Zhanqiang Liu China
Haonan Li China
Qinglong An China
J. Ramkumar India
Ahmed A. D. Sarhan Malaysia
Huan Qi China
Khaled Giasin United Kingdom
Wenfeng Ding China
S. Paul India
Tae Jo Ko relative to Zhanqiang Liu China Zhanqiang Liu's profile →
Citations per field
00.5×1.5×2.1×
Zhanqiang Liu · 1×
Citations per year

Countries citing papers authored by Tae Jo Ko

Since Specialization
Citations

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

Fields of papers citing papers by Tae Jo Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Jo Ko. 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 Tae Jo Ko. The network helps show where Tae Jo Ko may publish in the future.

Co-authors

The 25 scholars most cited alongside Tae Jo Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tae Jo Ko Line = papers co-authored together Tae Jo Ko links everyone, so they are left out of the graph.

All Works

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Prediction of Cutting Forces in Micro-End-Milling Using the Cutting-Condition-Independent Cutting Force Coefficients
20172

About Tae Jo Ko

Tae Jo Ko is a scholar working on Mechanical Engineering, Ecological Modeling, Biomedical Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering, having authored 313 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (169 papers), Advanced Surface Polishing Techniques (114 papers), Advanced Machining and Optimization Techniques (103 papers), Advancements in Battery Materials (37 papers), Tribology and Lubrication Engineering (33 papers), Advanced Battery Materials and Technologies (26 papers), Supercapacitor Materials and Fabrication (23 papers) and Advanced Measurement and Metrology Techniques (21 papers). The work is most often cited by research in Mechanical Engineering (3.2k citations), Biomedical Engineering (2.1k citations), Industrial and Manufacturing Engineering (470 citations), Ecological Modeling (194 citations) and Electrical and Electronic Engineering (2.3k citations). Tae Jo Ko has collaborated with scholars based in South Korea, China and India. Frequent co-authors include Rendi Kurniawan, Hee Sool Kim, Gandjar Kiswanto, Changping Li, Dae Kyun Baek, S. Thirumalai Kumaran, Pengnan Li, Dong‐Woo Cho, Xinyi Qiu and Waqas Ul Arifeen. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, International Journal of Precision Engineering and Manufacturing, Journal of Manufacturing Processes, International Journal of Machine Tools and Manufacture and International Journal of Precision Engineering and Manufacturing-Green Technology.

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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