S
Shengfan Zhang Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
faculty
11 h-index
42 pubs
287 cited
Research Areas
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
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Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making (2025)
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Effects of magnesium phosphate cement proportions on paste properties (2025)
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SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks (2024)
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Is human perception reliable? Toward illumination robust food freshness prediction from food appearance — Taking lettuce freshness evaluation as an example (2024)
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An Analysis of Data Analytics Curriculum Development through an NSF Research Experience for Teachers (RET) Program in Arkansas (2024)
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Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site (2024)
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System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System (2023)
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Erlang loss systems with shortest idle server first service discipline: Maintenance considerations (2023)
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Utilizing Clinical Trial Data to Assess Timing of Surgical Treatment for Emphysema Patients (2022)
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Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes (2022)
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Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education (2021)
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Evaluating Risk-Stratified HPV Catch-up Vaccination Strategies: Should We Go beyond Age 26? (2021)
Collaboration Network
Top Collaborators
Eric Specking
University of Arkansas at Fayetteville (US)
3 shared publications
- 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
3 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
- Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making
Donald G. Catanzaro
University of Arkansas at Fayetteville
3 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
- Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making
Valeriu Crudu
Phthisiopneumology Institute "Chiril Draganiuc" (MD)
3 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
- Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making
Zhiquan Ding
Zhujiang Hospital (CN)
3 shared publications
- P2Y6 Receptor Activation Aggravates NLRP3-dependent Microglial Pyroptosis via Downregulation of the PI3K/AKT Pathway in a Mouse Model of Intracerebral Hemorrhage
- Astrocyte-derived CXCL10 exacerbates endothelial cells pyroptosis and blood–brain barrier disruption via CXCR3/cGAS/AIM2 pathway after intracerebral hemorrhage
- P2RY6 activation aggravates NLRP3-dependent microglial pyroptosis via down-regulation of the PI3K/AKT pathway in a mouse model of intracerebral hemorrhage
Yulong Li
Zhujiang Hospital (CN)
2 shared publications
- P2Y6 Receptor Activation Aggravates NLRP3-dependent Microglial Pyroptosis via Downregulation of the PI3K/AKT Pathway in a Mouse Model of Intracerebral Hemorrhage
- P2RY6 activation aggravates NLRP3-dependent microglial pyroptosis via down-regulation of the PI3K/AKT pathway in a mouse model of intracerebral hemorrhage
Huiru Tu
Southern Medical University (CN)
2 shared publications
- P2Y6 Receptor Activation Aggravates NLRP3-dependent Microglial Pyroptosis via Downregulation of the PI3K/AKT Pathway in a Mouse Model of Intracerebral Hemorrhage
- P2RY6 activation aggravates NLRP3-dependent microglial pyroptosis via down-regulation of the PI3K/AKT pathway in a mouse model of intracerebral hemorrhage
Guiwei Wu
Zhujiang Hospital (CN)
2 shared publications
- P2Y6 Receptor Activation Aggravates NLRP3-dependent Microglial Pyroptosis via Downregulation of the PI3K/AKT Pathway in a Mouse Model of Intracerebral Hemorrhage
- P2RY6 activation aggravates NLRP3-dependent microglial pyroptosis via down-regulation of the PI3K/AKT pathway in a mouse model of intracerebral hemorrhage
Jifeng Piao
Southern Medical University (CN)
2 shared publications
- P2Y6 Receptor Activation Aggravates NLRP3-dependent Microglial Pyroptosis via Downregulation of the PI3K/AKT Pathway in a Mouse Model of Intracerebral Hemorrhage
- P2RY6 activation aggravates NLRP3-dependent microglial pyroptosis via down-regulation of the PI3K/AKT pathway in a mouse model of intracerebral hemorrhage
Dingyi Lv
Zhujiang Hospital (CN)
2 shared publications
- P2Y6 Receptor Activation Aggravates NLRP3-dependent Microglial Pyroptosis via Downregulation of the PI3K/AKT Pathway in a Mouse Model of Intracerebral Hemorrhage
- P2RY6 activation aggravates NLRP3-dependent microglial pyroptosis via down-regulation of the PI3K/AKT pathway in a mouse model of intracerebral hemorrhage
Libin Hu
Zhujiang Hospital (CN)
2 shared publications
- P2Y6 Receptor Activation Aggravates NLRP3-dependent Microglial Pyroptosis via Downregulation of the PI3K/AKT Pathway in a Mouse Model of Intracerebral Hemorrhage
- P2RY6 activation aggravates NLRP3-dependent microglial pyroptosis via down-regulation of the PI3K/AKT pathway in a mouse model of intracerebral hemorrhage
Qinghua Wang
Zhujiang Hospital (CN)
2 shared publications
- P2Y6 Receptor Activation Aggravates NLRP3-dependent Microglial Pyroptosis via Downregulation of the PI3K/AKT Pathway in a Mouse Model of Intracerebral Hemorrhage
- P2RY6 activation aggravates NLRP3-dependent microglial pyroptosis via down-regulation of the PI3K/AKT pathway in a mouse model of intracerebral hemorrhage
Jagpreet Chhatwal
1 shared publication
- Forum 9: Medical Decision Making During COVID-19
Shan Liu
1 shared publication
- Forum 9: Medical Decision Making During COVID-19
Fan Wang
Walmart (United States) (US)
1 shared publication
- Evaluating Risk-Stratified HPV Catch-up Vaccination Strategies: Should We Go beyond Age 26?
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