Check engineering papers: citations, claims and retractions

Regenerating cellulose from ionic liquids for an accelerated enzymatic hydrolysis

Zhao, H., Jones, C. L., Baker, G. A., Xia, S., Olubajo, O., & Person, V. N. (2009) · Journal of Biotechnology

Biofuel production and bioconversionAdvanced Cellulose Research Studies

Cited by 492

Drug/device combinations for local drug therapies and infection prophylaxis

Wu, P., & Grainger, D. W. (2006) · Biomaterials

Bone Tissue Engineering MaterialsAdvanced Drug Delivery Systems

Cited by 491

Side-Chain Tunability of Furan-Containing Low-Band-Gap Polymers Provides Control of Structural Order in Efficient Solar Cells

Yiu, A. T., Beaujuge, P. M., Lee, O. P., Woo, C. H., Toney, M. F., & Fréchet, J. M. J. (2012) · Journal of the American Chemical Society

Organic Electronics and PhotovoltaicsOrganic Light-Emitting Diodes Research

Cited by 491

Pass-Through of Emissions Costs in Electricity Markets

Fabra, N., & Reguant, M. (2014) · American Economic Review

Electric Power System OptimizationMerger and Competition Analysis

Cited by 491

Research ideas for artificial intelligence in auditing: The formalization of audit and workforce supplementation

Issa, H., Sun, T., & Vasarhelyi, M. A. (2016) · Journal of Emerging Technologies in Accounting

Robotic Process Automation ApplicationsArtificial Intelligence Applications

Cited by 491

The ethics of smart cities and urban science

Kitchin, R. (2016) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Smart Cities and TechnologiesEthics and Social Impacts of AI

Cited by 491

Improved motion robustness of remote-PPG by using the blood volume pulse signature

de Haan, G., & van Leest, A. (2014) · Physiological Measurement

Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic Control

Cited by 491

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations

Gokmen, T., & Vlasov, Y. (2016) · Frontiers in Neuroscience

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 491

Ionic liquid pretreatment of lignocellulosic biomass with ionic liquid–water mixtures

Brandt, A., Ray, M. J., To, T. Q., Leak, D. J., Murphy, R. J., & Welton, T. (2011) · Green Chemistry

Biofuel production and bioconversionIonic liquids properties and applications

Cited by 491

Smart metasurface with self-adaptively reprogrammable functions

Ma, Q., Bai, G. D., Jing, H. B., Yang, C., Li, L., & Cui, T. J. (2019) · Light: Science & Applications

Advanced Antenna and Metasurface TechnologiesMetamaterials and Metasurfaces Applications

Cited by 490

Stretchable distributed fiber-optic sensors

Bai, H., Li, S., Barreiros, J., Tu, Y., Pollock, C. R., & Shepherd, R. F. (2020) · Science

Advanced Fiber Optic SensorsAdvanced Sensor and Energy Harvesting Materials

Cited by 490

Systems of Spatial Reference in Human Memory

Shelton, A. L., & McNamara, T. P. (2001) · Cognitive Psychology

Spatial Cognition and NavigationMemory Processes and Influences

Cited by 490

Accurate deep neural network inference using computational phase-change memory

Joshi, V., Le Gallo, M., Haefeli, S., Boybat, I., Nandakumar, S. R., Piveteau, C., Dazzi, M., Rajendran, B., Sebastian, A., & Eleftheriou, E. (2020) · Nature Communications

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 490

Hydrothermal liquefaction of the brown macro-alga Laminaria Saccharina: Effect of reaction conditions on product distribution and composition

Anastasakis, K., & Ross, A. B. (2011) · Bioresource Technology

Thermochemical Biomass Conversion ProcessesAlgal biology and biofuel production

Cited by 490

Methanol Transport Through Nation Membranes. Electro-osmotic Drag Effects on Potential Step Measurements

Ren, X., Springer, T. E., Zawodzinski, T. A., & Gottesfeld, S. (2000) · Journal of The Electrochemical Society

Fuel Cells and Related MaterialsMembrane-based Ion Separation Techniques

Cited by 490

Recycling and recovery routes for incinerated sewage sludge ash (ISSA): a review

Donatello, S., & Cheeseman, C. R. (2013) · Waste Management

Recycling and utilization of industrial and municipal waste in materials productionPhosphorus and nutrient management

Cited by 489

Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows

Rudolph, M., Wandt, B., & Rosenhahn, B. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 489

The present and future of additive manufacturing in the aerospace sector: a review of important aspects

Uriondo, A., Esperon-Miguez, M., & Perinpanayagam, S. (2015) · Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Additive Manufacturing Materials and ProcessesAdditive Manufacturing and 3D Printing Technologies

Cited by 489

Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature review

Ribeiro, J., Lima, R., Eckhardt, T., & Paiva, S. (2021) · Procedia Computer Science

Robotic Process Automation ApplicationsImpact of AI and Big Data on Business and Society

Cited by 489

Halfway between 2D and Animal Models: Are 3D Cultures the Ideal Tool to Study Cancer-Microenvironment Interactions?

Hoarau-Véchot, J., Rafii, A., Touboul, C., & Pasquier, J. (2018) · International Journal of Molecular Sciences

3D Printing in Biomedical ResearchCancer Cells and Metastasis

Cited by 489

Multifunctional iron-biochar composites for the removal of potentially toxic elements, inherent cations, and hetero-chloride from hydraulic fracturing wastewater

Sun, Y., Yu, I. K. M., Tsang, D. C. W., Cao, X., Lin, D., Wang, L., Graham, N. J. D., Alessi, D. S., Komárek, M., Ok, Y. S., et al. (2019) · Environment International

Environmental remediation with nanomaterialsAdsorption and biosorption for pollutant removal

Cited by 489

Mineral Commodity Summaries 2019

Survey, U. S. G. (2019) · Mineral Commodity Summaries

Mining and Resource ManagementGeology and Environmental Impact Studies

Cited by 489

A New Chemolithoautotrophic Arsenite-Oxidizing Bacterium Isolated from a Gold Mine: Phylogenetic, Physiological, and Preliminary Biochemical Studies

Santini, J. M., Sly, L. I., Schnagl, R. D., & Macy, J. M. (2000) · Applied and Environmental Microbiology

Metal Extraction and BioleachingArsenic contamination and mitigation

Cited by 489

Synthesis and utilisation of sugar compounds derived from lignocellulosic biomass

Kobayashi, H., & Fukuoka, A. (2013) · Green Chemistry

Catalysis for Biomass ConversionBiofuel production and bioconversion

Cited by 489