Sohyung Cho

914 total citations
38 papers, 705 citations indexed

About

Sohyung Cho is a scholar working on Biomedical Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Sohyung Cho has authored 38 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 11 papers in Industrial and Manufacturing Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Sohyung Cho's work include Scheduling and Optimization Algorithms (6 papers), Advanced machining processes and optimization (5 papers) and Surgical Simulation and Training (5 papers). Sohyung Cho is often cited by papers focused on Scheduling and Optimization Algorithms (6 papers), Advanced machining processes and optimization (5 papers) and Surgical Simulation and Training (5 papers). Sohyung Cho collaborates with scholars based in United States, South Korea and Saudi Arabia. Sohyung Cho's co-authors include Shihab Asfour, Arzu Onar, Ahmed M. Zihni, Michael M. Awad, Jaime A. Cavallo, Vittaldas V. Prabhu, Joon-Young Kim, Shuddhadeb Ray, Jorge Rodríguez and Murat Erkoc and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and Journal of Materials Processing Technology.

In The Last Decade

Sohyung Cho

37 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sohyung Cho United States 13 318 209 179 164 149 38 705
Thiusius Rajeeth Savarimuthu Denmark 15 133 0.4× 165 0.8× 33 0.2× 267 1.6× 83 0.6× 80 903
Xiwang He China 11 91 0.3× 222 1.1× 47 0.3× 127 0.8× 35 0.2× 28 554
Ramón Sancibrián Spain 15 603 1.9× 43 0.2× 15 0.1× 66 0.4× 48 0.3× 47 873
Seok Won Lee South Korea 19 167 0.5× 92 0.4× 137 0.8× 189 1.2× 30 0.2× 81 1.0k
Hiroyuki Sawada Japan 12 119 0.4× 100 0.5× 62 0.3× 124 0.8× 127 0.9× 55 463
Jan Lundberg Sweden 16 518 1.6× 87 0.4× 49 0.3× 59 0.4× 5 0.0× 78 908
Yinghong Zhao China 10 78 0.2× 23 0.1× 54 0.3× 46 0.3× 75 0.5× 22 438
Jianmin Zhu China 15 567 1.8× 225 1.1× 207 1.2× 158 1.0× 12 0.1× 56 974
Yafei Deng China 13 433 1.4× 221 1.1× 82 0.5× 98 0.6× 6 0.0× 14 974
William Nelson United States 6 99 0.3× 33 0.2× 140 0.8× 22 0.1× 122 0.8× 9 1.2k

Countries citing papers authored by Sohyung Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sohyung Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sohyung Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sohyung Cho. A scholar is included among the top collaborators of Sohyung Cho 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 Sohyung Cho. Sohyung Cho 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.
Ko, Hoo Sang, Sohyung Cho, Henry E. Wang, et al.. (2021). Development of a Hand Motion-based Assessment System for Endotracheal Intubation Training. Journal of Medical Systems. 45(8). 81–81. 1 indexed citations
2.
Carlson, Jestin N., et al.. (2020). Preliminary Experience With Inertial Movement Technology to Characterize Endotracheal Intubation Kinematics. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 15(3). 160–166. 2 indexed citations
3.
Smith, Bryan, et al.. (2019). Predicting running injury using kinematic and kinetic parameters generated by an optical motion capture system. SN Applied Sciences. 1(7). 8 indexed citations
4.
Ko, Hoo Sang, et al.. (2019). Development of Classification Models for Assessment of Endotracheal Intubation Training by a Cyber-Physical System. Procedia Manufacturing. 39. 357–362. 2 indexed citations
5.
Rodríguez, Jorge, Ahmed M. Zihni, Jaime A. Cavallo, et al.. (2018). Ergonomic analysis of laparoscopic and robotic surgical task performance at various experience levels. Surgical Endoscopy. 33(6). 1938–1943. 42 indexed citations
6.
Cho, Sohyung, et al.. (2018). Teach and Playback Training Device for Minimally Invasive Surgery. SHILAP Revista de lepidopterología. 2018. 1–8. 7 indexed citations
7.
Zihni, Ahmed M., et al.. (2016). Ergonomic analysis of primary and assistant surgical roles. Journal of Surgical Research. 203(2). 301–305. 19 indexed citations
8.
Cho, Sohyung, et al.. (2016). Recurrence quantification analysis for surgical motions in minimally invasive surgery. International Journal of Biomedical Engineering and Technology. 21(2). 159–159. 1 indexed citations
9.
Cho, Sohyung, et al.. (2016). Prediction of Muscle Fatigue during Minimally Invasive Surgery Using Recurrence Quantification Analysis. SHILAP Revista de lepidopterología. 2016. 1–8. 18 indexed citations
10.
Cho, Sohyung, et al.. (2015). Analysis of surgical motions in minimally invasive surgery using complexity theory. International Journal of Biomedical Engineering and Technology. 17(1). 24–24. 2 indexed citations
11.
Zihni, Ahmed M., et al.. (2014). FLS tasks can be used as an ergonomic discriminator between laparoscopic and robotic surgery. Surgical Endoscopy. 28(8). 2459–2465. 28 indexed citations
12.
Zihni, Ahmed M., et al.. (2014). Ergonomic analysis of robot-assisted and traditional laparoscopic procedures. Surgical Endoscopy. 28(12). 3379–3384. 66 indexed citations
13.
Cho, Sohyung, et al.. (2009). Sensor stream mining for tool condition monitoring. 39. 1429–1433. 5 indexed citations
14.
Cho, Sohyung, et al.. (2009). Design of multisensor fusion-based tool condition monitoring system in end milling. The International Journal of Advanced Manufacturing Technology. 46(5-8). 681–694. 96 indexed citations
15.
Chakraborty, Pinaki, Shihab Asfour, Sohyung Cho, Arzu Onar, & Matthew Lynn. (2007). Modeling tool wear progression by using mixed effects modeling technique when end-milling AISI 4340 steel. Journal of Materials Processing Technology. 205(1-3). 190–202. 23 indexed citations
16.
Cho, Sohyung. (2005). A distributed time-driven simulation method for enabling real-time manufacturing shop floor control. Computers & Industrial Engineering. 49(4). 572–590. 15 indexed citations
17.
Cho, Sohyung, et al.. (2004). Tool breakage detection using support vector machine learning in a milling process. International Journal of Machine Tools and Manufacture. 45(3). 241–249. 154 indexed citations
18.
Cho, Sohyung, et al.. (2002). High performance loading robot design for a tool-delivery system. International Journal of Production Research. 40(14). 3401–3424. 5 indexed citations
19.
Cho, Sohyung & Vittaldas V. Prabhu. (2002). A vector space model for variance reduction in single machine scheduling. IIE Transactions. 34(11). 933–952. 12 indexed citations
20.
Cho, Sohyung & Vittaldas V. Prabhu. (2002). . IIE Transactions. 34(11). 933–952. 4 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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