2026 Yuehwern Yih: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	33	12774	12402	5151	4917	151	4007

Overview

Yuehwern Yih is affiliated with Purdue University West Lafayette in the United States. Their research spans several fields primarily centered on medicine and health professions, with a significant focus on industrial and manufacturing engineering, emergency medical services, and epidemiology.

The main topics of Yuehwern Yih's research include:

Recycling and Waste Management Techniques
Healthcare Operations and Scheduling Optimization
Extraction and Separation Processes
Electronic Health Records Systems
Healthcare Technology and Patient Monitoring
Machine Learning in Healthcare
Sustainable Supply Chain Management

Yih's publication record includes journal articles, book chapters, and conference papers appearing in various venues. Frequent publication outlets include:

SSRN Electronic Journal
Resources Conservation and Recycling
Procedia CIRP
Healthcare Analytics
International Journal of Simulation and Process Modelling

Some recent papers authored by or involving Yuehwern Yih include:

"Improving neighbor-based collaborative filtering by using a hybrid similarity measurement," 2020, Expert Systems with Applications
"Pickup and delivery problem with recharging for material handling systems utilising autonomous mobile robots," 2020, European Journal of Operational Research
"Evaluating intensive care unit admission and discharge policies using a discrete event simulation model," 2020, SIMULATION
"A dynamic price model based on supply and demand with application to techno-economic assessments of rare earth element recovery technologies," 2021, Sustainable Production and Consumption
"The pneumonia severity index: Assessment and comparison to popular machine learning classifiers," 2022, International Journal of Medical Informatics

Yih has collaborated frequently with several researchers, including:

Sidi Deng
John W. Sutherland
Esmaeil Bahalkeh
Dawei Wang
Min K. Lee

Yuehwern Yih has also contributed to academic book publications, with one notable work published by Springer Nature:

"Human-Automation Interaction," 2022

Best Publications

Scheduling elective surgery under uncertainty and downstream capacity constraints

Daiki Min;Yuehwern Yih

302
Citations
A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance Policy

Sze-jung Wu;N. Gebraeel;M.A. Lawley;Y. Yih

268
Citations
An elective surgery scheduling problem considering patient priority

Daiki Min;Yuehwern Yih

166
Citations
Generic kanban systems for dynamic environments

T. M. Chang;Y. Yih

157
Citations
A column generation-based heuristic algorithm for an inventory routing problem with perishable goods

Tung H. Le;Ali Diabat;Jean-Philippe P. Richard;Yuehwern Yih

143
Citations
Optimal linear combinations of neural networks: an overview

S. Hashem;B. Schmeiser;Y. Yih

120
Citations
An algorithm for hoist scheduling problems

Y. Yih

107
Citations
A learning-based methodology for dynamic scheduling in distributed manufacturing systems

C. Chiu;Y. Yih

107
Citations
Allocating security resources to a water supply network

Jianhong Qiao;David Jeong;Mark Lawley;Jean Philippe P. Richard

106
Citations
Knowledge acquisition through information granulation for imbalanced data

Chao-Ton Su;Long-Sheng Chen;Yuehwern Yih

102
Citations
Integration of inductive learning and neural networks for multi-objective FMS scheduling

C.-O. Kim;H.-S. Min;Y. Yih

96
Citations
An agent-based production control framework for multiple-line collaborative manufacturing

Ta-Ping Lu;Yuehwern Yih

95
Citations
Reducing patient-flow delays in surgical suites through determining start-times of surgical cases

Sangbok Lee;Yuehwern Yih

90
Citations
SEMI-MARKOV DECISION MODELS FOR REAL-TIME SCHEDULING

Yuehwern Yih;Arne Thesen

89
Citations
Selection of dispatching rules on multiple dispatching decision points in real-time scheduling of a semiconductor wafer fabrication system

Hyeung-Sik Min;Yuehwern Yih

88
Citations
A competitive neural network approach to multi-objective FMS scheduling

H.-S. Min;Y. Yih;C.-O. Kim

81
Citations
Trace-driven knowledge acquisition (TDKA) for rule-based real time scheduling systems

Yuehwern Yih

76
Citations
A hybrid approach for real-time sequencing and scheduling

Albert Jones;Luis Rabelo;Yuehwern Yih

76
Citations
A study on decision rules of a scheduling model in an FMS

Ling-Lang Tang;Yuehwern Yih;Chang-Yung Liu

70
Citations
Indentifying attributes for knowledge-based development in dynamic scheduling environments

C. C. Chen;Y. Yih

70
Citations

Frequent Co-Authors

John W. Sutherland Purdue University West Lafayette

Mark Lawley Texas A&M University

Shimon Y. Nof Purdue University West Lafayette

Robert W. Proctor Purdue University West Lafayette

George T.-C. Chiu Purdue University West Lafayette

Jan P. Allebach Purdue University West Lafayette

Gavriel Salvendy University of Central Florida

Paula Braitstein University of Toronto

Joseph F. Pekny Purdue University West Lafayette

Bin Yao Purdue University West Lafayette

External Links

Personal website of Yuehwern Yih

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