J
Jingxian Wu Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Professor
faculty
35 h-index
281 pubs
5,256 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Jingxian Wu holds the rank of Professor at the University of Arkansas at Fayetteville. Wu's research interests encompass a range of disciplines, including signal transduction, cell proliferation, and the application of nanoparticles. Their work also investigates cancer-related molecular mechanisms and medical imaging techniques.
Wu has published extensively, with a total of 280 publications and over 5,000 citations, reflecting a highly cited researcher designation. Their collaborative network includes researchers from the University of Arkansas at Fayetteville, such as Morten Ø. Jensen and Yanjun Pan, and from the University of Arkansas for Medical Sciences, including Joseph A. Sanford. Wu maintains an active research group and laboratory website.
Recent publications highlight diverse research areas, including the development of machine learning frameworks for signal processing in communication systems, the synthesis of novel catalysts for water splitting, and the application of terahertz imaging for breast cancer detection. Other work explores the preparation of cellulose nanofibers, arrhythmia classification using self-supervised learning, cyberattack detection in smart grids, and the role of bacterial signaling in marine invertebrate development. Further research delves into the regulation of signaling pathways in B-cell lymphoma progression.
Metrics
- h-index: 35
- Publications: 281
- Citations: 5,256
Selected Publications
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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)
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Low latency cyberattack detection in smart grids with deep reinforcement learning (2022)
Collaboration Network
Top Collaborators
Morten Ø. Jensen
University of Arkansas at Fayetteville
6 shared publications
In database
- Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
- 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
Showing 5 of 6 shared publications
Yanjun Pan
6 shared publications
In database
- 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 6 shared publications
Hanna Jensen
5 shared publications
- 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
- Volume Status Detection by using IPFM-Synthesized Peripheral Venous Pressure (PVP) Waveforms
Kevin W. Sexton
5 shared publications
In database
- 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
- Volume Status Detection by using IPFM-Synthesized Peripheral Venous Pressure (PVP) Waveforms
Yaze Li
Bruce Power (Canada) (CA)
5 shared publications
- 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
- Low Latency Cyberattack Detection in Smart Grids with Deep Reinforcement Learning
- Optimum Scheduling of Truck-Based Mobile Energy Couriers (MEC) Using Deep Deterministic Policy Gradient
Joseph A. Sanford
University of Arkansas for Medical Sciences
4 shared publications
In database
- 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
Jinhong Yuan
4 shared publications
- On the Performance of Practical Pulse-Shaped OTFS with Analog Receivers
- Multi-Carrier Modulation: An Evolution from Time-Frequency Domain to Delay-Doppler Domain
- Low Complexity OTFS Detection with a Delay-Doppler Domain CMC-MMSE Receiver
- Orthogonal Time Frequency Space (OTFS) with Finite-Length Sample-Wise Pulse Shaping Waveforms
Md Abul Hayat
University of Arkansas at Fayetteville (US)
3 shared publications
- 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
Nagma Vohra
University of Arkansas at Fayetteville
3 shared publications
In database
- 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
Tanny Chávez
University of Arkansas at Fayetteville (US)
3 shared publications
- 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
Keith Bailey
University of Illinois Urbana-Champaign (US)
3 shared publications
- 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
Magda El‐Shenawee
University of Arkansas at Fayetteville
3 shared publications
In database
- 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
Adria Abella Villafranca
University of Arkansas for Medical Sciences
3 shared publications
In database
- 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
Sam E. Stephens
University of Arkansas at Fayetteville
3 shared publications
In database
- 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
Kaylee Henry
University of Arkansas at Fayetteville (US)
2 shared publications
- 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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