Sangmun Shin

664 citations
67 papers · 466 indexed · h-index 14

Sangmun Shin

52 papers receiving 432 citations

Peers

Sangmun Shin
Comparison fields: 5 of 91
  • Statistics, Probability and Uncertainty 164
  • Management Science and Operations Research 244
  • Industrial and Manufacturing Engineering 117
  • Computational Theory and Mathematics 181
  • Pharmaceutical Science 51
Replace In‐Jun Jeong with:
In‐Jun Jeong South Korea
Nuno Costa Portugal
Belmiro P.M. Duarte Portugal
James R. Buck United States
Surajit Pal India
Ful-Chiang Wu Taiwan
Philip Doganis Greece
Nripes Kumar Mandal India
A. R. Manson United States
Kun‐Lin Hsieh Taiwan
Sangmun Shin relative to In‐Jun Jeong South Korea In‐Jun Jeong's profile →
Citations per field
00.5×3.6×
In‐Jun Jeong · 1×
Citations per year

Countries citing papers authored by Sangmun Shin

Since Specialization
Citations

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

Fields of papers citing papers by Sangmun Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sangmun Shin, 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 Sangmun Shin Line = papers co-authored together Sangmun Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20235
2 20210
3 20215
4 20203
5 20186
6 201413
7 201217
8 201213
9 20111
10 20119
11
An Optimal Process Design Using a Robust Desirability Function(RDF) Model to Improve a Process/Product Quality on a Pharmaceutical Manufacturing Process
20101
12 201016
13 201040
14 200937
15
Demand forecasting on the mobile communication service market using diffusion models and growth curve models: a case study
20072
16
A surrogate variable-based data mining method using CFS and RSM
20074
17
An approach for implementation of RBAC models with context constraint to business process systems
20061
18
Optimization Methodology Integrated Data Mining and Statistical Method
20060
19
Development of a data mining methodology using robust design
20061
20
데이터 마이닝과 통계적 기법을 통합한 최적화 기법
20063

About Sangmun Shin

Sangmun Shin is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Computational Theory and Mathematics, having authored 67 papers that have together received 466 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (33 papers), Advanced Multi-Objective Optimization Algorithms (24 papers), Probabilistic and Robust Engineering Design (16 papers), Manufacturing Process and Optimization (12 papers), Advanced Statistical Process Monitoring (5 papers), Spectroscopy and Chemometric Analyses (5 papers), Drug Solubulity and Delivery Systems (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (164 citations), Management Science and Operations Research (244 citations) and Industrial and Manufacturing Engineering (117 citations). Sangmun Shin has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Byung Rae Cho, Seong Hoon Jeong, Funda Samanlıoğlu, Margaret M. Wiecek, Yonghee Lee, Du Hyung Choi, Yongsun Choi, Sung Hoon Hong, Jamison V. Kovach and Young Wook Choi. Their work appears in journals such as European Journal of Operational Research, International Journal of Pharmaceutics and Journal of Pharmaceutical Sciences.

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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