Check engineering papers: citations, claims and retractions

Influence of the pulse duration in the ps-regime on the ablation efficiency of metals

Jaeggi, B., Neuenschwander, B., Schmid, M., Muralt, M., Zuercher, J., & Hunziker, U. (2011) · Physics Procedia

Laser Material Processing TechniquesLaser-Ablation Synthesis of Nanoparticles

Cited by 133

A Hierarchical Architecture for the Future Internet of Vehicles

Liu, K., Xu, X., Chen, M., Liu, B., Wu, L., & Lee, V. C. S. (2019) · IEEE Communications Magazine

Vehicular Ad Hoc Networks (VANETs)Software-Defined Networks and 5G

Cited by 133

Production of lightweight aggregate from industrial waste and carbon dioxide

Gunning, P. J., Hills, C. D., & Carey, P. J. (2009) · Waste Management

Recycling and utilization of industrial and municipal waste in materials productionConcrete and Cement Materials Research

Cited by 133

Three-Dimensional nand Flash for Vector–Matrix Multiplication

Wang, P., Xu, F., Wang, B., Gao, B., Wu, H., Qian, H., & Yu, S. (2019) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 132

Contrail cirrus radiative forcing for future air traffic

Bock, L., & Burkhardt, U. (2019) · Atmospheric Chemistry and Physics

Advanced Aircraft Design and TechnologiesAtmospheric aerosols and clouds

Cited by 132

Monolithically Integrated Perovskite Semiconductor Lasers on Silicon Photonic Chips by Scalable Top-Down Fabrication

Cegielski, P. J., Giesecke, A. L., Neutzner, S., Porschatis, C., Gandini, M., Schall, D., Perini, C. A. R., Bolten, J., Suckow, S., Kataria, S., et al. (2018) · Nano Letters

Perovskite Materials and ApplicationsPhotonic and Optical Devices

Cited by 132

Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach

Li, Y., He, S., Li, Y., Ge, L., Lou, S., & Zeng, Z. (2023) · IEEE Transactions on Intelligent Vehicles

Electric Vehicles and InfrastructureEnergy Load and Power Forecasting

Cited by 132

The climate impact of aviation aerosols

Gettelman, A., & Chen, C. (2013) · Geophysical Research Letters

Advanced Aircraft Design and TechnologiesAtmospheric aerosols and clouds

Cited by 132

Performance Analysis of Joint Radar and Communication using OFDM and OTFS

Gaudio, L., Kobayashi, M., Bissinger, B., & Caire, G. (2019) · 2019 IEEE International Conference on Communications Workshops (ICC Workshops)

Radar Systems and Signal ProcessingAdvanced SAR Imaging Techniques

Cited by 132

Where2Act: From Pixels to Actions for Articulated 3D Objects

Mo, K., Guibas, L., Mukadam, M., Gupta, A., & Tulsiani, S. (2021) · arXiv

Robot Manipulation and LearningAdvanced Neural Network Applications

Cited by 132

Pose estimation of an uncooperative spacecraft from actual space imagery

D', S., Amico, N. A., Benn, M., & Jørgensen, J. L. (2014) · International Journal of Space Science and Engineering

Space Satellite Systems and ControlSpacecraft Dynamics and Control

Cited by 132

Tuned mass-damper-inerter (TMDI) for suppressing edgewise vibrations of wind turbine blades

Zhang, Z., & Fitzgerald, B. (2020) · Engineering Structures

Vibration Control and Rheological FluidsAeroelasticity and Vibration Control

Cited by 132

Embodied large language models enable robots to complete complex tasks in unpredictable environments

Mon-Williams, R., Li, G., Long, R., Du, W., & Lucas, C. G. (2025) · Nature Machine Intelligence

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 132

A 100-Channel 1-mW Implantable Neural Recording IC

Zou, X., Liu, L., Cheong, J. H., Yao, L., Li, P., Cheng, M.-Y., Goh, W. L., Rajkumar, R., Dawe, G. S., Cheng, K.-W., et al. (2013) · IEEE Transactions on Circuits and Systems I: Regular Papers

Analog and Mixed-Signal Circuit DesignNeuroscience and Neural Engineering

Cited by 132

A global (volume averaged) model of a nitrogen discharge: I. Steady state

Thorsteinsson, E. G., & Gudmundsson, J. T. (2009) · Plasma Sources Science and Technology

Low-Pressure Plasma Processing and DiagnosticsAtmospheric-Pressure Plasma Applications

Cited by 132

Synthesis, Characterization, Functionalization and Bio-Applications of Hydroxyapatite Nanomaterials: An Overview

Munir, M. U., Salman, S., Ihsan, A., & Elsaman, T. (2022) · International Journal of Nanomedicine

Bone Tissue Engineering MaterialsNanoparticles: synthesis and applications

Cited by 132

AI in structural health monitoring for infrastructure maintenance and safety

Plevris, V., & Papazafeiropoulos, G. (2024) · Infrastructures

Structural Health Monitoring TechniquesInfrastructure Maintenance and Monitoring

Cited by 132

Forward locomotion of the nematode C. elegans is achieved through modulation of a single gait

Berri, S., Boyle, J. H., Tassieri, M., Hope, I. A., & Cohen, N. (2009) · HFSP Journal

Robotic Locomotion and ControlBiomimetic flight and propulsion mechanisms

Cited by 132

Recent advances in laser self-injection locking to high-Q microresonators

Kondratiev, N. M., Lobanov, V. E., Shitikov, A. E., Galiev, R. R., Chermoshentsev, D. A., Dmitriev, N. Y., Danilin, A. N., Lonshakov, E. A., Min’kov, K. N., Sokol, D. M., et al. (2023) · Frontiers of Physics

Semiconductor Lasers and Optical DevicesAdvanced Fiber Laser Technologies

Cited by 132

Briefing: GGBS and sustainability

Higgins, D. (2007) · Proceedings of the Institution of Civil Engineers - Construction Materials

Concrete and Cement Materials ResearchMaterials Engineering and Processing

Cited by 132

An asynchronous time-based image sensor

Posch, C., Matolin, D., & Wohlgenannt, R. (2008) · 2008 IEEE International Symposium on Circuits and Systems (ISCAS)

CCD and CMOS Imaging SensorsAnalog and Mixed-Signal Circuit Design

Cited by 132

Data Clustering using Memristor Networks

Choi, S., Sheridan, P., & Lu, W. D. (2015) · Scientific Reports

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 132

Approaches to Disposal of Nuclear Waste

Ojovan, M. I., & Steinmetz, H. J. (2022) · Energies

Nuclear and radioactivity studiesNuclear materials and radiation effects

Cited by 132

A new dam structural response estimation paradigm powered by deep learning and transfer learning techniques

Li, Y., Bao, T., Gao, Z., Shu, X., Zhang, K., Xie, L., & Zhang, Z. (2022) · Structural Health Monitoring

Dam Engineering and SafetyStructural Health Monitoring Techniques

Cited by 132