Dae-Sik Ko

619 total citations
60 papers, 401 citations indexed

About

Dae-Sik Ko is a scholar working on Computer Networks and Communications, Pharmacology and General Health Professions. According to data from OpenAlex, Dae-Sik Ko has authored 60 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 11 papers in Pharmacology and 11 papers in General Health Professions. Recurrent topics in Dae-Sik Ko's work include Musculoskeletal pain and rehabilitation (9 papers), Health and Wellbeing Research (8 papers) and Balance, Gait, and Falls Prevention (6 papers). Dae-Sik Ko is often cited by papers focused on Musculoskeletal pain and rehabilitation (9 papers), Health and Wellbeing Research (8 papers) and Balance, Gait, and Falls Prevention (6 papers). Dae-Sik Ko collaborates with scholars based in South Korea, Germany and United States. Dae-Sik Ko's co-authors include Markus Sauer, Ji‐Hyuk Park, Dae-In Jung, K. H. Drexhage, C. Zander, J. Wolfrum, Mi‐Ae Jeong, Alexander Schulz, Claus A. M. Seidel and Christian Eggeling and has published in prestigious journals such as Chemical Physics Letters, Sensors and Applied Sciences.

In The Last Decade

Dae-Sik Ko

42 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae-Sik Ko South Korea 9 87 73 70 62 49 60 401
Bin Yin China 16 16 0.2× 158 2.2× 105 1.5× 46 0.7× 39 0.8× 32 798
Monika Reddy United Kingdom 23 21 0.2× 111 1.5× 68 1.0× 11 0.2× 11 0.2× 66 1.4k
Shekhar Hansda India 11 20 0.2× 155 2.1× 130 1.9× 5 0.1× 57 1.2× 17 601
Ziping Liu China 18 7 0.1× 96 1.3× 207 3.0× 54 0.9× 26 0.5× 58 869
Zi Ye China 11 6 0.1× 24 0.3× 166 2.4× 49 0.8× 13 0.3× 36 509
David T. Marc United States 9 4 0.0× 46 0.6× 99 1.4× 22 0.4× 8 0.2× 26 656
John J. Mastrototaro United States 23 115 1.3× 372 5.1× 184 2.6× 19 0.3× 6 0.1× 38 2.6k
Lingfeng Xu China 9 18 0.2× 91 1.2× 14 0.2× 4 0.1× 14 0.3× 48 347
Xianliang Chen China 13 170 2.0× 115 1.6× 158 2.3× 48 0.8× 17 0.3× 40 636
Junkai Xu China 10 3 0.0× 162 2.2× 11 0.2× 11 0.2× 8 0.2× 18 352

Countries citing papers authored by Dae-Sik Ko

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Sik Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Sik 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 Dae-Sik Ko. The network helps show where Dae-Sik Ko may publish in the future.

Co-authorship network of co-authors of Dae-Sik Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Dae-Sik Ko. A scholar is included among the top collaborators of Dae-Sik Ko 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 Dae-Sik Ko. Dae-Sik Ko 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, Dae-Sik, et al.. (2021). Comparison of Active Learning Performance for Automatic Classification of Learning Contents. The Journal of Korean Institute of Information Technology. 19(7). 1–7. 1 indexed citations
2.
Ko, Dae-Sik, et al.. (2021). Performance Improvement for Automatic Classification of Partial Charge Types using ConvLSTM2D Technique. The Journal of Korean Institute of Information Technology. 19(4). 19–26.
3.
Ko, Dae-Sik, et al.. (2020). Comparative Analysis of Data Transmission Efficiency for JMS and DDS based Middlewares. The Journal of Korean Institute of Information Technology. 18(8). 73–80.
4.
Ko, Dae-Sik, et al.. (2020). Protective Tree Management Technique using LiDAR 3D Scan Data. The Journal of Korean Institute of Information Technology. 18(9). 99–106.
5.
Ko, Dae-Sik, et al.. (2019). Implementation of RSSI-based RTLS for Improvement of Location Awareness Performance in Underground Space. The Journal of Korean Institute of Information Technology. 17(8). 85–91.
6.
Ko, Dae-Sik, et al.. (2019). Automatic Classification Model of Electronic Documents Based on Machine Learning for Job Analysis. The Journal of Korean Institute of Information Technology. 17(7). 23–29. 1 indexed citations
7.
Ko, Dae-Sik. (2019). Comparative Analysis of IoT Network Implementing Method for Information and Communication Service in Forest Area. The Journal of Korean Institute of Information Technology. 17(9). 57–64. 1 indexed citations
8.
Park, Sangdeok, et al.. (2019). Parallel Insertion and Indexing Method for Large Amount of Spatiotemporal Data Using Dynamic Multilevel Grid Technique. Applied Sciences. 9(20). 4261–4261. 5 indexed citations
9.
Ko, Dae-Sik, et al.. (2019). A Study on the Improved Transmission Distance of the LoRa Network. The Journal of Korean Institute of Information Technology. 17(4). 53–59. 2 indexed citations
10.
Lee, Donghan & Dae-Sik Ko. (2018). A Study on the Design of Forest IoT Network with Edge Computing. The Journal of Korean Institute of Information Technology. 16(10). 101–109. 4 indexed citations
11.
Kim, Daeyoung, Dae-Sik Ko, & Seokhoon Kim. (2017). Network Access Control for Location-Based Mobile Services in Heterogeneous Wireless Networks. Mobile Information Systems. 2017. 1–10. 4 indexed citations
12.
Ko, Dae-Sik, et al.. (2017). Development of Location based Real-time Safety System for Mountain Area. 5(4). 92–99.
13.
Ko, Dae-Sik, et al.. (2014). Real Time Traceability and Monitoring System for Agricultural Products Based on Wireless Sensor Network. International Journal of Distributed Sensor Networks. 10(6). 832510–832510. 20 indexed citations
14.
Ko, Dae-Sik, Dae-In Jung, & Mi‐Ae Jeong. (2014). Analysis of Core Stability Exercise Effect on the Physical and Psychological Function of Elderly Women Vulnerable to Falls during Obstacle Negotiation. Journal of Physical Therapy Science. 26(11). 1697–1700. 5 indexed citations
15.
Ko, Dae-Sik, et al.. (2012). Computer Applications for Communication, Networking, and Digital Contents: International Conferences, FGCN and DCA 2012, Held as Part of the Future .... Springer eBooks. 1 indexed citations
16.
Ko, Dae-Sik. (2010). A Study on Development of the Evaluation Guideline for the Storage Performance. The Journal of Advanced Navigation Technology. 14(2). 266–271. 2 indexed citations
17.
Robles, Rosslin John, et al.. (2009). A cogitation on Critical Information Infrastructure in Korea. 482–485.
18.
Ko, Dae-Sik, et al.. (2008). Web Performance Enhancement of E-business System Using the SSD. 81–84. 3 indexed citations
19.
Ko, Dae-Sik, et al.. (2002). Implementation of Virtual Architectural Engineering System for Networked Virtual Collaboration. 한국정보과학회 학술발표논문집. 124–136. 1 indexed citations
20.
Ko, Dae-Sik, et al.. (1997). Scanning tomographic acoustic microscopy using shear waves. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 44(2). 425–430.

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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