This map shows the geographic impact of Young‐Suk 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 Young‐Suk Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Suk Cho more than expected).
This network shows the impact of papers produced by Young‐Suk 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 Young‐Suk Cho. The network helps show where Young‐Suk Cho may publish in the future.
Co-authorship network of co-authors of Young‐Suk Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Suk Cho.
A scholar is included among the top collaborators of Young‐Suk 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 Young‐Suk Cho. Young‐Suk Cho is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cho, Young‐Suk, et al.. (2005). Estimation for the Double Exponential Distribution Based on Type-II Censored Samples. Journal of the Korean Data and Information Science Society. 16(1). 115–126.2 indexed citations
9.
Cho, Young‐Suk, et al.. (2003). Tests for the exponential distribution based on Type-II censored samples. Journal of the Korean Data and Information Science Society. 14(2). 367–376.
10.
Cho, Young‐Suk, et al.. (2002). Goodness-of-Fit Test for the Pareto Distribution Based on the Transformed Sample Lorenz curve. Journal of the Korean Data and Information Science Society. 13(1). 113–119.1 indexed citations
11.
Cho, Young‐Suk, et al.. (2001). Causal Pathway Analysis of Adolescence Status Delinquency. The Journal of Korean Academic Society of Nursing Education. 7(2). 379–390.2 indexed citations
12.
Cho, Young‐Suk, et al.. (2001). A Study on Distribution Based on the Normalized Sample Lorenz Curve. Communications for Statistical Applications and Methods. 8(1). 185–192.2 indexed citations
13.
Cho, Young‐Suk, et al.. (2001). The Study of an Entrance Experience into Major Subject of a Student Nurse. The Journal of Korean Academic Society of Nursing Education. 7(2). 360–368.1 indexed citations
14.
Kim, Soo-Min, et al.. (2001). The Antioxidant Ability and Nitrite Scavenging Ability of Plant Extracts. Korean Journal of Food Science and Technology. 33(5). 626–632.103 indexed citations
15.
Cho, Young‐Suk, et al.. (1999). AMLE for the Rayleigh Distribution with Type-II Censoring. Journal of the Korean Data and Information Science Society. 10(2). 405–413.1 indexed citations
16.
Kim, Soo-Min, et al.. (1999). Antioxidants of pine needle extracts according to preparation method. Korean Journal of Food Science and Technology. 31(2). 527–534.2 indexed citations
17.
Cho, Young‐Suk, et al.. (1998). Approximate MLE for Rayleigh Distribution in Singly Right Censored Samples. Communications for Statistical Applications and Methods. 5(1). 225–230.1 indexed citations
18.
Cho, Young‐Suk, et al.. (1997). Estimation for Exponential Distribution under General Progressive Type-II Censored Samples. Journal of the Korean Data and Information Science Society. 8(1). 239–245.2 indexed citations
19.
Cho, Young‐Suk, et al.. (1997). Bootstrap Confidence Intervals for the Reliability Function of an Exponential Distribution. Communications for Statistical Applications and Methods. 4(2). 523–532.1 indexed citations
20.
Cho, Young‐Suk, et al.. (1996). Estimation of Gini Index of the Exponential Distribution by Bootstrap Method. Communications for Statistical Applications and Methods. 3(3). 291–297.2 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.