Most cited engineering papers
- Verified
OCV-SOC-Temperature Relationship Construction and State of Charge Estimation for a Series– Parallel Lithium-Ion Battery Pack
Yu, Q., Huang, Y., Tang, A., Wang, C., & Shen, W. (2023) · IEEE Transactions on Intelligent Transportation Systems
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 213
- Verified
High-entropy alloy superconductors: Status, opportunities, and challenges
Sun, L., & Cava, R. J. (2019) · Physical Review Materials
High Entropy Alloys StudiesPhysics of Superconductivity and Magnetism
Cited by 213
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Perception-Based Data Reduction and Transmission of Haptic Data in Telepresence and Teleaction Systems
Hinterseer, P., Hirche, S., Chaudhuri, S., Steinbach, E., & Buss, M. (2008) · IEEE Transactions on Signal Processing
Teleoperation and Haptic SystemsTactile and Sensory Interactions
Cited by 213
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Stretchable E‐Skin Apexcardiogram Sensor
You, I., Kim, B., Park, J., Koh, K., Shin, S., Jung, S., & Jeong, U. (2016) · Advanced Materials
Advanced Sensor and Energy Harvesting MaterialsNon-Invasive Vital Sign Monitoring
Cited by 213
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Novel Light Source Integration Approaches for Silicon Photonics
Wang, Z., Abbasi, A., Dave, U., De Groote, A., Kumari, S., Kunert, B., Merckling, C., Pantouvaki, M., Shi, Y., Tian, B., et al. (2017) · Laser & Photonics Reviews
Photonic and Optical DevicesSemiconductor Lasers and Optical Devices
Cited by 213
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A Generalized SOC-OCV Model for Lithium-Ion Batteries and the SOC Estimation for LNMCO Battery
Zhang, C., Jiang, J., Zhang, L., Liu, S., Wang, L., & Loh, P. (2016) · Energies
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 213
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A Methodology for Digital Twin Modeling and Deployment for Industry 4.0
Schroeder, G. N., Steinmetz, C., Rodrigues, R. N., Henriques, R. V. B., Rettberg, A., & Pereira, C. E. (2021) · Proceedings of the IEEE
Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing Systems
Cited by 213
- Verified
Promises and challenges of organoid-guided precision medicine
Bose, S., Clevers, H., & Shen, X. (2021) · Med
3D Printing in Biomedical ResearchCancer Cells and Metastasis
Cited by 213
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Microalgal biomass pretreatment for bioethanol production: A review
Velazquez-Lucio, J., Rodríguez-Jasso, R. M., Colla, L. M., Sáenz-Galindo, A., Cervantes-Cisneros, D. E., Aguilar, C. N., Fernandes, B. D., & Ruiz, H. A. (2018) · Biofuel Research Journal
Biofuel production and bioconversionAlgal biology and biofuel production
Cited by 213
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Homecare robotic systems for healthcare 4.0: visions and enabling technologies
Yang, G., Pang, Z., Jamal Deen, M., Dong, M., Zhang, Y.-T., Lovell, N., & Rahmani, A. M. (2020) · IEEE Journal of Biomedical and Health Informatics
Robotics and Automated SystemsProsthetics and Rehabilitation Robotics
Cited by 213
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Resistive memory device requirements for a neural algorithm accelerator
Agarwal, S., Plimpton, S. J., Hughart, D. R., Hsia, A. H., Richter, I., Cox, J. A., James, C. D., & Marinella, M. J. (2016) · 2016 International Joint Conference on Neural Networks (IJCNN)
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 213
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Acid-catalyzed algal biomass pretreatment for integrated lipid and carbohydrate-based biofuels production
Laurens, L. M. L., Nagle, N., Davis, R., Sweeney, N., Van Wychen, S., Lowell, A., & Pienkos, P. T. (2015) · Green Chemistry
Biofuel production and bioconversionAlgal biology and biofuel production
Cited by 213
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A Wearable Hydration Sensor with Conformal Nanowire Electrodes
Yao, S., Myers, A., Malhotra, A., Lin, F., Bozkurt, A., Muth, J. F., & Zhu, Y. (2017) · Advanced Healthcare Materials
Advanced Sensor and Energy Harvesting MaterialsNanomaterials and Printing Technologies
Cited by 213
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Drug delivery in pluronic micelles: Effect of high-frequency ultrasound on drug release from micelles and intracellular uptake
Marin, A., Sun, H., Husseini, G. A., Pitt, W. G., Christensen, D. A., & Rapoport, N. Y. (2002) · Journal of Controlled Release
Ultrasound and Hyperthermia ApplicationsNanoparticle-Based Drug Delivery
Cited by 213
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Gaussian process robust regression for noisy heart rate data
Stegle, O., Fallert, S. V., MacKay, D. J. C., & Brage, S. (2008) · IEEE Transactions on Biomedical Engineering
Non-Invasive Vital Sign MonitoringGaussian Processes and Bayesian Inference
Cited by 213
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Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Rasch, M. J., Mackin, C., Le Gallo, M., Chen, A., Fasoli, A., Odermatt, F., Li, N., Nandakumar, S. R., Narayanan, P., Tsai, H., et al. (2023) · Nature Communications
Advanced Memory and Neural ComputingAdvanced Neural Network Applications
Cited by 213
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Modulating macrophage activities to promote endogenous bone regeneration: Biological mechanisms and engineering approaches
Niu, Y., Wang, Z., Shi, Y., Dong, L., & Wang, C. (2021) · Bioactive Materials
Bone Tissue Engineering MaterialsBone Metabolism and Diseases
Cited by 213
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Reverse engineering human pathophysiology with organs-on-chips
Ingber, D. E. (2016) · Cell
3D Printing in Biomedical ResearchTissue Engineering and Regenerative Medicine
Cited by 212
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Multiple Open-Circuit Faults Diagnosis in Back-to-Back Converters of PMSG Drives for Wind Turbine Systems
Jlassi, I., Estima, J. O., Khojet El Khil, S., Mrabet Bellaaj, N., & Marques Cardoso, A. J. (2015) · IEEE Transactions on Power Electronics
Wind Turbine Control SystemsFault Detection and Control Systems
Cited by 212
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Energy Management Strategy in Dynamic Distribution Network Reconfiguration Considering Renewable Energy Resources and Storage
Azizivahed, A., Arefi, A., Ghavidel, S., Shafie-khah, M., Li, L., Zhang, J., & Catalao, J. P. S. (2020) · IEEE Transactions on Sustainable Energy
Optimal Power Flow DistributionElectric Power System Optimization
Cited by 212
- Verified
Fibre-infused gel scaffolds guide cardiomyocyte alignment in 3D-printed ventricles
Choi, S., Lee, K. Y., Kim, S. L., MacQueen, L. A., Chang, H., Zimmerman, J. F., Jin, Q., Peters, M. M., Ardoña, H. A. M., Liu, X., et al. (2023) · Nature Materials
3D Printing in Biomedical ResearchHydrogels: synthesis, properties, applications
Cited by 212
- Verified
Low-Power Wearable Systems for Continuous Monitoring of Environment and Health for Chronic Respiratory Disease
Dieffenderfer, J., Goodell, H., Mills, S., McKnight, M., Yao, S., Lin, F., Beppler, E., Bent, B., Lee, B., Misra, V., et al. (2016) · IEEE Journal of Biomedical and Health Informatics
Non-Invasive Vital Sign MonitoringWireless Body Area Networks
Cited by 212
- Verified
The concept of digital twin and digital shadow in manufacturing
Bergs, T., Gierlings, S., Auerbach, T., Klink, A., Schraknepper, D., & Augspurger, T. (2021) · Procedia CIRP
Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing Systems
Cited by 212
- Verified
Battery health prediction under generalized conditions using a Gaussian process transition model
Richardson, R. R., Osborne, M. A., & Howey, D. A. (2019) · Journal of Energy Storage
Battery Modeling and ManagementReliability and Maintenance Optimization
Cited by 212
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