Jingxian Wu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Professor

University of Arkansas at Fayetteville

faculty

35 h-index 279 pubs 4,850 cited

Research Areas

Medical Imaging Techniques and Applications Advanced Neural Network Applications Nanoparticles: synthesis and applications Cancer-related molecular mechanisms research Cardiovascular Function and Risk Factors Network Security and Intrusion Detection Electrocatalysts for Energy Conversion Plant Physiology and Cultivation Studies

Links

ORCID Google Scholar Lab Website Research Group

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OverviewAI-generated summary

Jingxian Wu, a professor at the University of Arkansas at Fayetteville, has a research profile encompassing diverse areas, including advanced neural networks, medical imaging, and materials science. Wu's work on terahertz imaging for breast cancer detection, utilizing supervised Bayesian learning, highlights a focus on applying sophisticated computational methods to healthcare challenges. Further contributions to medical research include work on multimodality multi-lead ECG arrhythmia classification using self-supervised learning, indicating an interest in leveraging machine learning for cardiovascular health assessment.

Beyond medical applications, Wu's research extends to materials science and engineering. Publications detail the electroless plating synthesis of bifunctional catalysts for electrocatalytic water splitting, demonstrating an engagement with advanced materials for energy applications. Additionally, research into the preparation and application of cellulose-based nanomaterials from agricultural waste, such as passion fruit peel, points to an interest in sustainable materials and biomass utilization. Wu also investigates low latency cyberattack detection in smart grids with deep reinforcement learning, showcasing an application of AI in securing critical infrastructure.

With a career marked by 279 publications and 4,850 citations, leading to an h-index of 35, Wu is recognized as a highly cited researcher. Collaborative efforts with institutions like the University of Arkansas for Medical Sciences and within the University of Arkansas at Fayetteville, including joint publications with Morten Ø. Jensen, Yanjun Pan, Joseph A. Sanford, and Magda El‐Shenawee, underscore a network of interdisciplinary research engagement. Wu actively leads a research group and maintains an active lab website.

Metrics

  • h-index: 35
  • Publications: 279
  • Citations: 4,850

Selected Publications

  • Optimum Scheduling of Truck-Based Mobile Energy Couriers (MEC) Using Deep Deterministic Policy Gradient (2025) DOI
  • The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis (2025) DOI
  • Low Complexity OTFS Detection with a Delay-Doppler Domain CMC-MMSE Receiver (2024) DOI
  • Deep Reinforcement Learning for Online Scheduling of Photovoltaic Systems with Battery Energy Storage Systems (2024) DOI
  • Low-Latency Attack Detection With Dynamic Watermarking for Grid-Connected Photovoltaic Systems (2023) DOI
  • On the Performance of Practical Pulse-Shaped OTFS with Analog Receivers (2023) DOI
  • Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation (2023) DOI
  • Development and assessment of a resilient telecoms system (2023) DOI
  • Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning (2022) DOI
  • IRS Aided MEC Systems With Binary Offloading: A Unified Framework for Dynamic IRS Beamforming (2022) DOI
  • Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage (2022) DOI
  • Low latency cyberattack detection in smart grids with deep reinforcement learning (2022) DOI
  • Terahertz Imaging of Breast Cancer using Human and Animal Models (2021) DOI
  • Dynamic computation offloading and resource allocation in cache-assisted mobile edge computing systems (2021) DOI
  • Supervised Bayesian learning for breast cancer detection in terahertz imaging (2021) DOI

Collaborators

Researchers in the database who share publications

Morten Ø. Jensen University of Arkansas for Medical Sciences 6 shared publications Yanjun Pan University of Arkansas at Fayetteville 6 shared publications Joseph A. Sanford University of Arkansas for Medical Sciences 4 shared publications Magda El‐Shenawee University of Arkansas at Fayetteville 3 shared publications Nagma Vohra University of Arkansas at Fayetteville 3 shared publications Kevin W. Sexton University of Arkansas for Medical Sciences 3 shared publications Hanna Jensen University of Arkansas at Fayetteville 3 shared publications Sam E. Stephens University of Arkansas at Fayetteville 3 shared publications

Similar Researchers

Based on overlapping research topics

Kuruva Manohar University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications Advanced Neural Network Applications Cancer-related molecular mechanisms research
Good match 4 shared topics
M. Fazlul Hoq University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications Advanced Neural Network Applications Nanoparticles: synthesis and applications
Good match 4 shared topics
Nguyen Quoc Khanh Le University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Advanced Neural Network Applications Cancer-related molecular mechanisms research
Good match 4 shared topics
Tatiana Williams University of Arkansas at Pine Bluff
Medical Imaging Techniques and Applications Nanoparticles: synthesis and applications Cardiovascular Function and Risk Factors
Good match 3 shared topics
Nhat-Tan Bui University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Advanced Neural Network Applications Cardiovascular Function and Risk Factors
Good match 3 shared topics
Quan Mai University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Advanced Neural Network Applications Cardiovascular Function and Risk Factors
Good match 3 shared topics