Jingxian Wu
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: Harbin University of Science and Technology (2021–2023); Nanjing Agricultural University (2023); Beijing Institute of Technology (2023); Heilongjiang University of Science and Technology (2020); East China University of Science and Technology (2014–2020); Sonoma State University (2005–2008); Bengbu Medical College (2023); University of Kang Ning (2025); Yunnan Agricultural University (2023); Wuhan University of Technology (2020–2022); Chinese Academy of Sciences (2023–2024); Chinese Academy of Medical Sciences & Peking Union Medical College (2021); Peking University (2025–2026); Missouri University of Science and Technology (2007–2010); National Central University (2012); Civil Aviation University of China (2012); University of Jinan (2018); California University of Pennsylvania (2025); Soochow University (2012–2020); PLA 306 Hospital (2018); Research Institute of Petroleum Exploration and Development (2025); Essen University Hospital (2015); Second Affiliated Hospital of Soochow University (2012); Suzhou Research Institute (2017–2019); Xiyuan Hospital (2021); The Affiliated Yongchuan Hospital of Chongqing Medical University (2020–2025); Jilin Agricultural University (2025); Shanghai Academy of Spaceflight Technology (2016); State Key Laboratory of Chemical Engineering (2020); Shanghai Institute of Ceramics (2023–2024); University of Chinese Academy of Sciences (2023–2024); Shanghai Ocean University (2024); Southwest Jiaotong University (2017); University of Duisburg-Essen (2015); Jiangxi Agricultural University (2025); University of Missouri (2003–2006); Yangzhou University (2025); University of Pennsylvania (2025–2026); Beihang University (2015); Chongqing Medical University (2017–2025); Minnan Normal University (2022); China National Petroleum Corporation (China) (2025)
Faculty Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Jingxian Wu holds a professorship at the University of Arkansas at Fayetteville. Wu's scholarly work encompasses a broad range of interdisciplinary topics, as evidenced by a publication record of 284 articles, accumulating over 5,291 citations and an h-index of 35. Wu is recognized as a highly cited researcher.
Recent publications demonstrate a focus on areas including machine learning applications for medical imaging and data analysis, such as supervised Bayesian learning for breast cancer detection in terahertz imaging and Bayesian network approaches for analyzing large truck fatal crash severity. Other research interests include the development of catalysts for electrocatalytic water splitting, the preparation and application of cellulose-based nanomaterials, and the analysis of spatial variations in urban transportation systems. Wu also leads a research group and maintains an active lab website.
Collaborations are a significant aspect of Wu's research network, with shared publications noted with Morten Ø. Jensen and Yanjun Pan from the University of Arkansas at Fayetteville, and Joseph A. Sanford from the University of Arkansas for Medical Sciences. Magda El‐Shenawee from the University of Arkansas at Fayetteville is also a key collaborator.
Metrics
- h-index: 36
- Publications: 288
- Citations: 5,385
Selected Publications
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Multi-Carrier Modulation: An Evolution From Time-Frequency Domain to Delay-Doppler Domain (2026)
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An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting (2025)
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CP-Free ODDM Over General Doubly-Selective Fading Channels (2025)
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An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting (2025)
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Optimum Scheduling of Truck-Based Mobile Energy Couriers (MEC) Using Deep Deterministic Policy Gradient (2025)
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The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis (2025)
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Low Complexity OTFS Detection with a Delay-Doppler Domain CMC-MMSE Receiver (2024)
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Deep Reinforcement Learning for Online Scheduling of Photovoltaic Systems with Battery Energy Storage Systems (2024)
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Low-Latency Attack Detection With Dynamic Watermarking for Grid-Connected Photovoltaic Systems (2023)
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On the Performance of Practical Pulse-Shaped OTFS with Analog Receivers (2023)
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Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation (2023)
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Development and assessment of a resilient telecoms system (2023)
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Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning (2022)
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IRS Aided MEC Systems With Binary Offloading: A Unified Framework for Dynamic IRS Beamforming (2022)
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Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage (2022)
Collaboration Network
Top Collaborators
- On the Performance of Practical Pulse-Shaped OTFS with Analog Receivers
- Deep Reinforcement Learning for Online Scheduling of Photovoltaic Systems with Battery Energy Storage Systems
- Low-Latency Attack Detection With Dynamic Watermarking for Grid-Connected Photovoltaic Systems
- Low Complexity OTFS Detection with a Delay-Doppler Domain CMC-MMSE Receiver
- Optimum Scheduling of Truck-Based Mobile Energy Couriers (MEC) Using Deep Deterministic Policy Gradient
Showing 5 of 7 shared publications
- Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
- Low latency cyberattack detection in smart grids with deep reinforcement learning
- Deep Reinforcement Learning for Online Scheduling of Photovoltaic Systems with Battery Energy Storage Systems
- Low-Latency Attack Detection With Dynamic Watermarking for Grid-Connected Photovoltaic Systems
- Optimum Scheduling of Truck-Based Mobile Energy Couriers (MEC) Using Deep Deterministic Policy Gradient
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- Supervised Bayesian learning for breast cancer detection in terahertz imaging
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Supervised Bayesian learning for breast cancer detection in terahertz imaging
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Supervised Bayesian learning for breast cancer detection in terahertz imaging
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Supervised Bayesian learning for breast cancer detection in terahertz imaging
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
- Terahertz Imaging of Breast Cancer using Human and Animal Models
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
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