Most cited engineering papers
- Verified
Muscle architecture and force-velocity characteristics of cat soleus and medial gastrocnemius: implications for motor control
Spector, S. A., Gardiner, P. F., Zernicke, R. F., Roy, R. R., & Edgerton, V. R. (1980) · Journal of Neurophysiology
Muscle activation and electromyography studiesMuscle Physiology and Disorders
Cited by 397
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Modeling Lithium Ion battery degradation in electric vehicles
Millner, A. (2010) · 2010 IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 397
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Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces
Liu, Y., Norton, J. J. S., Qazi, R., Zou, Z., Ammann, K. R., Liu, H., Yan, L., Tran, P. L., Jang, K.-I., Lee, J. W., et al. (2016) · Science Advances
Advanced Sensor and Energy Harvesting MaterialsNon-Invasive Vital Sign Monitoring
Cited by 397
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Bioactive Glasses and Glass-Ceramics for Healthcare Applications in Bone Regeneration and Tissue Engineering
Fernandes, H. R., Gaddam, A., Rebelo, A., Brazete, D., Stan, G. E., & Ferreira, J. M. F. (2018) · Materials
Bone Tissue Engineering MaterialsGlass properties and applications
Cited by 397
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LSTM-Based battery remaining useful life prediction with multi-channel charging profiles
Park, K., Choi, Y., Choi, W. J., Ryu, H.-Y., & Kim, H. (2020) · IEEE Access
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 397
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Design Challenges in Polymeric Scaffolds for Tissue Engineering
Echeverria Molina, M. I., Malollari, K. G., & Komvopoulos, K. (2021) · Frontiers in Bioengineering and Biotechnology
Bone Tissue Engineering MaterialsTissue Engineering and Regenerative Medicine
Cited by 397
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Shape memory polymer with programmable recovery onset
Ni, C., Chen, D., Yin, Y., Wen, X., Chen, X., Yang, C., Chen, G., Sun, Z., Wen, J., Jiao, Y., et al. (2023) · Nature
Advanced Materials and MechanicsHydrogels: synthesis, properties, applications
Cited by 397
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A Highly Effective, Nontoxic T1 MR Contrast Agent Based on Ultrasmall PEGylated Iron Oxide Nanoparticles
Tromsdorf, U. I., Bruns, O. T., Salmen, S. C., Beisiegel, U., & Weller, H. (2009) · Nano Letters
Characterization and Applications of Magnetic NanoparticlesLanthanide and Transition Metal Complexes
Cited by 396
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Potential of macroencapsulated PCM for thermal energy storage in buildings : a comprehensive review
Rathore, P. K. S., & Shukla, S. K. (2019) · Construction and Building Materials
Phase Change Materials ResearchAdsorption and Cooling Systems
Cited by 396
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Leadership, consensus decision making and collective behaviour in humans
Dyer, J. R. G., Johansson, A., Helbing, D., Couzin, I. D., & Krause, J. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences
Distributed Control Multi-Agent SystemsEvacuation and Crowd Dynamics
Cited by 396
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Variable gearing in pennate muscles
Azizi, E., Brainerd, E. L., & Roberts, T. J. (2008) · Proceedings of the National Academy of Sciences
Muscle activation and electromyography studiesMechanics and Biomechanics Studies
Cited by 396
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A Comprehensive Survey on UAV Communication Channel Modeling
Yan, C., Fu, L., Zhang, J., & Wang, J. (2019) · IEEE Access
UAV Applications and OptimizationSatellite Communication Systems
Cited by 395
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A very low-power CMOS mixed-signal IC for implantable pacemaker applications
Wong, L. S. Y., Hossain, S., Ta, A., Edvinsson, J., Rivas, D. H., & Naas, H. (2004) · IEEE Journal of Solid-State Circuits
Analog and Mixed-Signal Circuit DesignLow-power high-performance VLSI design
Cited by 395
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Recent advances in 3D-printed polylactide and polycaprolactone-based biomaterials for tissue engineering applications.
Arif, Z. U., Khalid, M. Y., Noroozi, R., Sadeghianmaryan, A., Jalalvand, M., & Hossain, M. (2022) · International Journal of Biological Macromolecules
3D Printing in Biomedical Researchbiodegradable polymer synthesis and properties
Cited by 395
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Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis
Feng, L., & Zhao, C. (2021) · IEEE Transactions on Industrial Informatics
Fault Detection and Control SystemsMachine Fault Diagnosis Techniques
Cited by 395
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Materials, Devices, and Systems of On‐Skin Electrodes for Electrophysiological Monitoring and Human–Machine Interfaces
Wu, H., Yang, G., Zhu, K., Liu, S., Guo, W., Jiang, Z., & Li, Z. (2021) · Advanced Science
Advanced Sensor and Energy Harvesting MaterialsNanomaterials and Printing Technologies
Cited by 395
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Bioinspired Interlocked and Hierarchical Design of ZnO Nanowire Arrays for Static and Dynamic Pressure‐Sensitive Electronic Skins
Ha, M., Lim, S., Park, J., Um, D., Lee, Y., & Ko, H. (2015) · Advanced Functional Materials
Advanced Sensor and Energy Harvesting MaterialsZnO doping and properties
Cited by 395
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Toward a common classification approach for biorefinery systems
Cherubini, F., Jungmeier, G., Wellisch, M., Willke, T., Skiadas, I., Van Ree, R., & de Jong, E. (2009) · Biofuels Bioproducts and Biorefining
Biofuel production and bioconversionBioeconomy and Sustainability Development
Cited by 394
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Using buoyant mass to measure the growth of single cells
Godin, M., Delgado, F. F., Son, S., Grover, W. H., Bryan, A. K., Tzur, A., Jorgensen, P., Payer, K., Grossman, A. D., Kirschner, M. W., et al. (2010) · Nature Methods
Microfluidic and Bio-sensing TechnologiesAcoustic Wave Resonator Technologies
Cited by 394
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Catalase‐Loaded TaOx Nanoshells as Bio‐Nanoreactors Combining High‐Z Element and Enzyme Delivery for Enhancing Radiotherapy
Song, G., Chen, Y., Liang, C., Yi, X., Liu, J., Sun, X., Shen, S., Yang, K., & Liu, Z. (2016) · Advanced Materials
Nanoplatforms for cancer theranosticsRadiation Therapy and Dosimetry
Cited by 394
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Design and operation of stable rf-biased superconducting point-contact quantum devices, and a note on the properties of perfectly clean metal contacts
Zimmerman, J. E., Thiene, P., & Harding, J. T. (1970) · Journal of Applied Physics
Superconducting and THz Device TechnologyQuantum Information and Cryptography
Cited by 394
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Recent Progress in Phase-ChangeMemory Technology
Burr, G. W., BrightSky, M. J., Sebastian, A., Cheng, H.-Y., Wu, J.-Y., Kim, S., Sosa, N. E., Papandreou, N., Lung, H.-L., Pozidis, H., et al. (2016) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Advanced Memory and Neural ComputingPhase-change materials and chalcogenides
Cited by 393
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An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery
Meng, J., Ricco, M., Luo, G., Swierczynski, M., Stroe, D.-I., Stroe, A.-I., & Teodorescu, R. (2018) · IEEE Transactions on Industry Applications
Battery Modeling and ManagementControl Systems and Identification
Cited by 393
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Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Henderson, P., Hu, J., Romoff, J., Brunskill, E., Jurafsky, D., & Pineau, J. (2020) · arXiv
Green IT and SustainabilityEnergy Efficiency in Computing
Cited by 393
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