Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-16
S
Shengfan Zhang
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
Faculty Researcher
11 h-index
42 pubs
287 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Shengfan Zhang's research focuses on the intersection of computational methods, systems engineering, and health-related topics. Zhang has co-authored publications investigating machine learning for predicting tuberculosis treatment outcomes and optimizing maintenance for inland waterway transportation systems. Other work includes research on perception and food freshness prediction, Erlang loss systems, and evaluating HPV vaccination strategies. Zhang also contributes to neuroscience research, with publications exploring microglial pyroptosis and astrocyte-derived chemokines in mouse models of intracerebral hemorrhage. Scholarship metrics include an h-index of 11, with 42 total publications and 287 total citations. Key collaborators at the University of Arkansas at Fayetteville include Zephan Wade and Donald G. Catanzaro.
Metrics
- h-index: 11
- Publications: 42
- Citations: 287
Selected Publications
-
Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making (2025)
-
Effects of magnesium phosphate cement proportions on paste properties (2025)
-
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks (2024)
-
Is human perception reliable? Toward illumination robust food freshness prediction from food appearance — Taking lettuce freshness evaluation as an example (2024)
-
An Analysis of Data Analytics Curriculum Development through an NSF Research Experience for Teachers (RET) Program in Arkansas (2024)
-
Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site (2024)
-
System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System (2023)
-
Erlang loss systems with shortest idle server first service discipline: Maintenance considerations (2023)
-
Utilizing Clinical Trial Data to Assess Timing of Surgical Treatment for Emphysema Patients (2022)
-
Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes (2022)
-
Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education (2021)
-
Evaluating Risk-Stratified HPV Catch-up Vaccination Strategies: Should We Go beyond Age 26? (2021)
-
Effective resource utilization in Arkansas public schools (2020)
-
Methodical analysis of inventory discrepancy under conditions of uncertainty in supply chain management (2019)
-
Methodical analysis of inventory discrepancy under conditions of uncertainty in supply chain management (2019)
Collaboration Network
Top Collaborators
Eric Specking
University of Arkansas at Fayetteville
3 shared publications
In database
- Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education
- Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site
- An Analysis of Data Analytics Curriculum Development through an NSF Research Experience for Teachers (RET) Program in Arkansas
Maryam Kheirandish
University of Arkansas at Fayetteville
2 shared publications
In database
- Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes
- Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making
Donald G. Catanzaro
University of Arkansas at Fayetteville
2 shared publications
In database
- Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes
- Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making
Valeriu Crudu
Phthisiopneumology Institute "Chiril Draganiuc" (MD)
2 shared publications
- Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes
- Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making
Fan Wang
Walmart (United States) (US)
1 shared publication
- Evaluating Risk-Stratified HPV Catch-up Vaccination Strategies: Should We Go beyond Age 26?
Kristen N. Jozkowski
Indiana University Bloomington (US)
1 shared publication
- Evaluating Risk-Stratified HPV Catch-up Vaccination Strategies: Should We Go beyond Age 26?
Mehdi Alimohammadi
University of Arkansas at Fayetteville (US)
1 shared publication
- Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education
Allison J. Ames
University of Arkansas at Fayetteville
1 shared publication
In database
- Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education
Shawn E. Bell
University of Arkansas at Fayetteville
1 shared publication
In database
- Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education
Karl Schubert
University of Arkansas at Fayetteville
1 shared publication
In database
- Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education
Shannon Davis
University of Arkansas at Fayetteville (US)
1 shared publication
- Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education
Maryam Alimohammadi
University of Arkansas at Fayetteville
1 shared publication
In database
- Utilizing Clinical Trial Data to Assess Timing of Surgical Treatment for Emphysema Patients
W. Art Chaovalitwongse
University of Arkansas at Fayetteville (US)
1 shared publication
- Utilizing Clinical Trial Data to Assess Timing of Surgical Treatment for Emphysema Patients
Hubert Vesselle
University of Washington (US)
1 shared publication
- Utilizing Clinical Trial Data to Assess Timing of Surgical Treatment for Emphysema Patients
Mahboubeh Madadi
San Jose State University (US)
1 shared publication
- Erlang loss systems with shortest idle server first service discipline: Maintenance considerations
Similar Researchers
Based on overlapping research topics
Anastasia Makhanova
University of Arkansas at Fayetteville
Health disparities and outcomes
Immune Response and Inflammation
Decision-Making and Behavioral Economics
Masanori Kuroki
Arkansas Tech University
Health disparities and outcomes
Decision-Making and Behavioral Economics
Health Policy Implementation Science
Ines Berger
University of Arkansas for Medical Sciences
Health disparities and outcomes
Immune Response and Inflammation
Alex E. Belote
University of Arkansas for Medical Sciences
Health disparities and outcomes
Immune Response and Inflammation
J Oates
University of Arkansas for Medical Sciences
Health disparities and outcomes
Immune Response and Inflammation
Theresa Prewitt
University of Arkansas for Medical Sciences
Health disparities and outcomes
Health Policy Implementation Science