Institution · Novelis (Canada)
Most cited papers from Novelis (Canada)
What are the most cited papers from Novelis (Canada)?
The most cited paper from Novelis (Canada) is "Deep Forest: Towards An Alternative to Deep Neural Networks" (Zhi‐Hua Zhou, Ji Feng, 2017), with 908 citations. Next come "How rude! Emotional labor as a mediator between customer incivility and employee outcomes." (506) and "High strain rate tensile testing of automotive aluminum alloy sheet" (381).
Showing 50 of 61 papers. Every paper with more than 23 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Deep Forest: Towards An Alternative to Deep Neural Networks Zhi‐Hua Zhou, Ji Feng | 28 Jul 2017 | 908 |
| 2 | How rude! Emotional labor as a mediator between customer incivility and employee outcomes. Michael T. Sliter, Steve M. Jex, Katherine Wolford et al. · Journal of Occupational Health Psychology | Oct 2010 | 506 |
| 3 | High strain rate tensile testing of automotive aluminum alloy sheet R. Smerd, Sooky Winkler, Chris Salisbury et al. · International Journal of Impact Engineering | 30 Jun 2005 | 381 |
| 4 | The recrystallization and texture of magnesium–zinc–cerium alloys L.W.F. Mackenzie, Mihriban Pekguleryuz · Scripta Materialia | 31 May 2008 | 360 |
| 5 | Doubly Aligned Incomplete Multi-view Clustering Meng-Lei Monica Hu, Songcan Chen | Jul 2018 | 293 |
| 6 | Single-cell transcriptome analysis revealed a suppressive tumor immune microenvironment in EGFR mutant lung adenocarcinoma Lei Yang, Yun-Ting He, Song Dong et al. · Journal for ImmunoTherapy of Cancer | 2022 | 256 |
| 7 | Electromagnetic forming of aluminum alloy sheet: Free-form and cavity fill experiments and model Dino A. Oliveira, Michael J. Worswick, Mark J. Finn et al. · Journal of Materials Processing Technology | 3 Aug 2005 | 219 |
| 8 | The shearable–non-shearable transition in Al–Mg–Si–Cu precipitation hardening alloys: implications on the distribution of slip, work hardening and fracture Warren J. Poole, X. Wang, D. J. Lloyd et al. · The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics | 11 Sep 2005 | 186 |
| 9 | Atomic-scale pathway of early-stage precipitation in Al–Mg–Si alloys Vahid Fallah, Andreas Korinek, Nana Ofori-Opoku et al. · Acta Materialia | 21 Oct 2014 | 125 |
| 10 | A new perspective in bio-refining: levoglucosenone and cleaner lignin from waste biorefinery hydrolysis lignin by selective conversion of residual saccharides Mario De bruyn, Jiajun Fan, Vitaliy L. Budarin et al. · Energy & Environmental Science | 2016 | 99 |
| 11 | A study on the early-stage decomposition in the Al–Mg–Si–Cu alloy AA6111 by electrical resistivity and three-dimensional atom probe Soroush Esmaeili, D. Vaumousse, M.W. Zandbergen et al. · The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics | 9 Aug 2007 | 92 |
| 12 | Healing by the Joule effect of electrically conductive poly(ester-urethane)/carbon nanotube nanocomposites Bertrand Willocq, Ranjita K. Bose, Farid Khelifa et al. · Journal of Materials Chemistry A | 2016 | 84 |
| 13 | RNMFLP: Predicting circRNA–disease associations based on robust nonnegative matrix factorization and label propagation Peng Li, Yang Cheng, Huang Li et al. · Briefings in Bioinformatics | 14 Apr 2022 | 79 |
| 14 | Effects of superimposed hydrostatic pressure on sheet metal formability Pengfei Wu, J.D. Embury, D. J. Lloyd et al. · International Journal of Plasticity | 8 Nov 2008 | 77 |
| 15 | Effects of spatial grain orientation distribution and initial surface topography on sheet metal necking Pengfei Wu, D. J. Lloyd, Mukesh Kumar Jain et al. · International Journal of Plasticity | 13 Jan 2007 | 71 |
| 16 | Scalable Multi-instance Learning Xiu-Shen Wei, Jianxin Wu, Zhi‐Hua Zhou | Dec 2014 | 70 |
| 17 | Cost-Effective Active Learning from Diverse Labelers Sheng-Jun Huang, Jia-Lve Chen, Xin Mu et al. | 28 Jul 2017 | 67 |
| 18 | Dendritic Growth Morphologies in Al-Zn Alloys—Part I: X-ray Tomographic Microscopy Jonathan Friedli, Julie L. Fife, Paolo Napoli et al. · Metallurgical and Materials Transactions A | 19 Aug 2013 | 58 |
| 19 | Analysis of ridging in ferritic stainless steel sheet P.D. Wu, H. Jin, Yucai Shi et al. · Materials Science and Engineering A | 19 Apr 2006 | 58 |
| 20 | Short-range order and its impacts on the BCC MoNbTaW multi-principal element alloy by the machine-learning potential Pedro Antonio Santos-Flórez, Shi-Cheng Dai, Yi Yao et al. · Acta Materialia | 29 May 2023 | 55 |
| 21 | DAESTB: inferring associations of small molecule–miRNA via a scalable tree boosting model based on deep autoencoder Peng Li, Yuan Tu, Huang Li et al. · Briefings in Bioinformatics | Nov 2022 | 54 |
| 22 | Incomplete Label Distribution Learning Miao Xu, Zhi‐Hua Zhou | 28 Jul 2017 | 52 |
| 23 | The influence of the as-hot rolled microstructure on the elevated temperature mechanical properties of magnesium AZ31 sheet G. Vespa, L.W.F. Mackenzie, Rajeev Verma et al. · Materials Science and Engineering A | 6 Nov 2007 | 51 |
| 24 | Diffusion of Nd in hcp Mg and interdiffusion coefficients in Mg–Nd system Manas Paliwal, Sazol Kumar Das, Jung Hwan Kim et al. · Scripta Materialia | 7 Jun 2015 | 50 |
| 25 | Quantification of grain boundary precipitation and the influence of quench rate in 6XXX aluminum alloys D. Van Steele, David G. Evans, Paul C. Nolan et al. · Materials Characterization | 20 Apr 2006 | 48 |
| 26 | Direct Chill Casting of CLAD Ingot Robert B. Wagstaff, David J. Lloyd, Todd F. Bischoff · Materials science forum | 15 Jul 2006 | 46 |
| 27 | The Deformation of Clad Aluminum Sheet Produced By Direct Chill Casting David J. Lloyd, Mark T. Gallerneault, Robert B. Wagstaff · Metallurgical and Materials Transactions A | 25 May 2010 | 45 |
| 28 | Exciton efficiency beyond the spin statistical limit in organic light emitting diodes based on anthracene derivatives Nidhi Sharma, Michael Y. Wong, David J. Hall et al. · Journal of Materials Chemistry C | 2020 | 42 |
| 29 | Cost-Effective Active Learning for Hierarchical Multi-Label Classification Yifan Yan, Sheng-Jun Huang | Jul 2018 | 41 |
| 30 | Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training Hui-Hui Wei, Ming Li | Jul 2018 | 39 |
| 31 | Correlation of ridging and texture in ferritic stainless steel sheet P.D. Wu, D. J. Lloyd, Yonggang Y. Huang · Materials Science and Engineering A | 3 Jun 2006 | 38 |
| 32 | Numerical Modeling of Macrosegregation in Binary Alloys Solidifying in the Presence of Electromagnetic Stirring Gregory M. Poole, Matthew Heyen, Laurentiu Nastac et al. · Metallurgical and Materials Transactions B | 20 May 2014 | 37 |
| 33 | Data Pricing for Blockchain-based Car Sharing: A Stackelberg Game Approach Chengzhen Xu, Kun Zhu, Changyan Yi et al. | Dec 2020 | 35 |
| 34 | Evolution of near‐surface deformed layers during hot rolling of AA3104 aluminium alloy Yanwen Liu, M. F. Frolish, W.M. Rainforth et al. · Surface and Interface Analysis | 8 Dec 2009 | 33 |
| 35 | Study of the Precipitation Kinetics in a 6000 Series Automotive Sheet Material A.K. Gupta, P.H. Marois, David J. Lloyd · Materials science forum | 2 May 1996 | 33 |
| 36 | Wound healing in the modern era: Emerging research, biomedical advances, and transformative clinical approaches Subhasri Bogadi, Md Ekhtiar Uddin, M. Habibur Rahman et al. · Journal of Drug Delivery Science and Technology | 20 May 2025 | 31 |
| 37 | Influence of near‐surface deformed layers on filiform corrosion of AA3104 aluminium alloy Yanwen Liu, Teruo Hashimoto, Xiaorong Zhou et al. · Surface and Interface Analysis | 12 Feb 2013 | 31 |
| 38 | On the mechanical and electronic properties of thiolated gold nanocrystals Kacem Smaali, Simon Desbief, Giuseppe Foti et al. · Nanoscale | 3 Dec 2014 | 31 |
| 39 | On the formation of intermetallics in rapidly solidifying Al–Fe–Si alloys Dmitri V. Malakhov, Damon Panahi, Mark T. Gallerneault · Calphad | 9 Feb 2010 | 31 |
| 40 | Deep Descriptor Transforming for Image Co-Localization Xiu-Shen Wei, Chen-Lin Zhang, Li Yao et al. | 28 Jul 2017 | 30 |
| 41 | Studying grain fragmentation in ECAE by simulating simple shear Pengfei Wu, Yan Chun Huang, D. J. Lloyd · Scripta Materialia | Apr 2006 | 30 |
| 42 | The different effects of asymmetric rolling and surface friction on formation of shear texture in aluminium alloy AA5754 H. Jin, D. J. Lloyd · Materials Science and Technology | 16 Mar 2009 | 30 |
| 43 | Non-Autoregressive Translation by Learning Target Categorical Codes Yu Bao, Shujian Huang, Tong Xiao et al. | 2021 | 29 |
| 44 | Effects of inorganic additions on the performance of manganese-based conversion treatments I. Danilidis, John A. Hunter, Geoff Scamans et al. · Corrosion Science | 29 Sep 2006 | 29 |
| 45 | Understanding rate-dependent textured growth in zinc electrodeposition via high-throughput in situ x-ray diffraction Yifan Ma, Jakub Pepas, Guangxing Zhang et al. · Nature Communications | 12 Aug 2025 | 27 |
| 46 | The Discrepancy Between Cognitive Complaints and Neuropsychological Test Findings in Persons With Traumatic Brain Injury Leia Vos, Michael Williams, Julia M. P. Poritz et al. · Journal of Head Trauma Rehabilitation | 26 Feb 2020 | 27 |
| 47 | Effect of curing on the mechanical and healing behaviour of a hybrid dual network: a time resolved evaluation Mina Abdolah Zadeh, Antonio Mattia Grande, Sybrand van der Zwaag et al. · RSC Advances | 2016 | 27 |
| 48 | A thermomechanical process for grain refinement in precipitation hardening AA6xxx aluminum alloys Soroush Esmaeili, D. J. Lloyd, H. Jin · Materials Letters | 30 Dec 2010 | 27 |
| 49 | Analysis of the Chemistry of Ni-Base Turbine Disk Superalloys Using An Alloys-By-Design Modeling Approach D.J. Crudden, Babak Raeisinia, Nils Warnken et al. · Metallurgical and Materials Transactions A | 13 Dec 2012 | 27 |
| 50 | Multi-instance multi-label active learning Sheng-Jun Huang, Nengneng Gao, Songcan Chen | 28 Jul 2017 | 26 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.