Check engineering papers: citations, claims and retractions

Tactile-Direction-Sensitive and Stretchable Electronic Skins Based on Human-Skin-Inspired Interlocked Microstructures

Park, J., Lee, Y., Hong, J., Lee, Y., Ha, M., Jung, Y., Lim, H., Kim, S. Y., & Ko, H. (2014) · ACS Nano

Advanced Sensor and Energy Harvesting MaterialsAdvanced Materials and Mechanics

Cited by 649

A Recipe for Soft Fluidic Elastomer Robots

Marchese, A. D., Katzschmann, R. K., & Rus, D. (2015) · Soft Robotics

Soft Robotics and ApplicationsAdvanced Materials and Mechanics

Cited by 649

A multiscale and multidepth convolutional neural network for remote sensing imagery pan-sharpening

Yuan, Q., Wei, Y., Meng, X., Shen, H., & Zhang, L. (2018) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Advanced Image Fusion TechniquesSatellite Image Processing and Photogrammetry

Cited by 649

An artificial immune network for multimodal function optimization

de Castro, L. N., & Timmis, J. (2003) · Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

Artificial Immune Systems ApplicationsMetaheuristic Optimization Algorithms Research

Cited by 648

Sustainably powering wearable electronics solely by biomechanical energy

Wang, J., Li, S., Yi, F., Zi, Y., Lin, J., Wang, X., Xu, Y., & Wang, Z. L. (2016) · Nature Communications

Advanced Sensor and Energy Harvesting MaterialsInnovative Energy Harvesting Technologies

Cited by 648

Molecular Motion in Aggregates: Manipulating TICT for Boosting Photothermal Theranostics

Liu, S., Zhou, X., Zhang, H., Ou, H., Lam, J. W. Y., Liu, Y., Shi, L., Ding, D., & Tang, B. Z. (2019) · Journal of the American Chemical Society

Nanoplatforms for cancer theranosticsLuminescence and Fluorescent Materials

Cited by 647

Nanoconfined phase change materials for thermal energy applications

Aftab, W., Huang, X., Wu, W., Liang, Z., Mahmood, A., & Zou, R. (2018) · Energy & Environmental Science

Phase Change Materials ResearchAdsorption and Cooling Systems

Cited by 647

Transformation of vegetable waste into value added products:

Laufenberg, G., Kunz, B., & Nystroem, M. (2003) · Bioresource Technology

Biofuel production and bioconversionFood Waste Reduction and Sustainability

Cited by 647

Measuring orientation of human body segments using miniature gyroscopes and accelerometers

Luinge, H. J., & Veltink, P. H. (2005) · Medical & Biological Engineering & Computing

Inertial Sensor and NavigationContext-Aware Activity Recognition Systems

Cited by 647

Human Performance Issues and User Interface Design for Teleoperated Robots

Chen, J. Y. C., Haas, E. C., & Barnes, M. J. (2007) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)

Teleoperation and Haptic SystemsHuman-Automation Interaction and Safety

Cited by 646

Ubiquitous cell-free massive MIMO communications

Interdonato, G., Björnson, E., Quoc Ngo, H., Frenger, P., & Larsson, E. G. (2019) · EURASIP Journal on Wireless Communications and Networking

Advanced MIMO Systems OptimizationMillimeter-Wave Propagation and Modeling

Cited by 646

Industry 4.0 and Sustainability Implications: A Scenario-Based Analysis of the Impacts and Challenges

Bonilla, S. H., Silva, H. R. O., Terra da Silva, M., Franco Gonçalves, R., & Sacomano, J. B. (2018) · Sustainability

Digital Transformation in IndustryImpact of AI and Big Data on Business and Society

Cited by 645

When learning about the real world is better done virtually: A study of substituting computer simulations for laboratory equipment

Finkelstein, N. D., Adams, W. K., Keller, C. J., Kohl, P. B., Perkins, K. K., Podolefsky, N. S., Reid, S., & LeMaster, R. (2005) · Physical Review Special Topics - Physics Education Research

Experimental Learning in EngineeringScience Education and Pedagogy

Cited by 645

A crossbar array of magnetoresistive memory devices for in-memory computing

Jung, S., Lee, H., Myung, S., Kim, H., Yoon, S. K., Kwon, S.-W., Ju, Y., Kim, M., Yi, W., Han, S., et al. (2022) · Nature

Advanced Memory and Neural ComputingMagnetic properties of thin films

Cited by 644

A wearable cardiac ultrasound imager

Hu, H., Huang, H., Li, M., Gao, X., Yin, L., Qi, R., Wu, R. S., Chen, X., Ma, Y., Shi, K., et al. (2023) · Nature

Non-Invasive Vital Sign MonitoringUltrasound in Clinical Applications

Cited by 644

Traffic Flow Prediction via Spatial Temporal Graph Neural Network

Wang, X., Ma, Y., Wang, Y., Jin, W., Wang, X., Tang, J., Jia, C., & Yu, J. (2020) · Proceedings of The Web Conference 2020

Traffic Prediction and Management TechniquesTraffic control and management

Cited by 644

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net

Luo, W., Yang, B., & Urtasun, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 644

Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

Wei, J., Dong, G., & Chen, Z. (2018) · IEEE Transactions on Industrial Electronics

Advanced Battery Technologies ResearchAdvancements in Battery Materials

Cited by 643

Climate change mitigation potential of carbon capture and utilization in the chemical industry

Kätelhön, A., Meys, R., Deutz, S., Suh, S., & Bardow, A. (2019) · Proceedings of the National Academy of Sciences

Carbon Dioxide Capture TechnologiesClimate Change Policy and Economics

Cited by 643

Experiments on the flow past spheres at very high Reynolds numbers

Achenbach, E. (1972) · Journal of Fluid Mechanics

Fluid Dynamics and Vibration AnalysisFluid Dynamics and Turbulent Flows

Cited by 643

Pattern classification by memristive crossbar circuits using ex situ and in situ training

Alibart, F., Zamanidoost, E., & Strukov, D. B. (2013) · Nature Communications

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 642

Voltage and Power Balance Control for a Cascaded H-Bridge Converter-Based Solid-State Transformer

Zhao, T., Wang, G., Bhattacharya, S., & Huang, A. Q. (2013) · IEEE Transactions on Power Electronics

Multilevel Inverters and ConvertersAdvanced DC-DC Converters

Cited by 642

Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

Lago, J., De Ridder, F., & De Schutter, B. (2018) · Applied Energy

Energy Load and Power ForecastingStock Market Forecasting Methods

Cited by 642

Direct-write bioprinting of cell-laden methacrylated gelatin hydrogels

Bertassoni, L. E., Cardoso, J. C., Manoharan, V., Cristino, A. L., Bhise, N. S., Araujo, W. A., Zorlutuna, P., Vrana, N. E., Ghaemmaghami, A. M., Dokmeci, M. R., et al. (2014) · Biofabrication

3D Printing in Biomedical ResearchHydrogels: synthesis, properties, applications

Cited by 642