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Most cited papers from Shenyang Aerospace University

What are the most cited papers from Shenyang Aerospace University?

The most cited paper from Shenyang Aerospace University is "An overview on oxyfuel coal combustion—State of the art research and technology development" (Terry F. Wall, Yinghui Liu, Chris Spero et al., 2009), with 804 citations. Next come "Graphene, hexagonal boron nitride, and their heterostructures: properties and applications" (750) and "A review on water in low rank coals: The existence, interaction with coal structure and effects on coal utilization" (704).

Showing 50 of 61 papers. Every paper with more than 185 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 An overview on oxyfuel coal combustion—State of the art research and technology development Terry F. Wall, Yinghui Liu, Chris Spero et al. · Process Safety and Environmental Protection 2 Apr 2009 804
2 Graphene, hexagonal boron nitride, and their heterostructures: properties and applications Jingang Wang, Fengcai Ma, Mengtao Sun · RSC Advances Open access 2017 750
3 A review on water in low rank coals: The existence, interaction with coal structure and effects on coal utilization Jianglong Yu, Arash Tahmasebi, Yanna Han et al. · Fuel Processing Technology Open access 22 Oct 2012 704
4 Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction Xiang Li, Zhang We, Qian Ding · Reliability Engineering & System Safety 8 Nov 2018 583
5 Environmentally Friendly and Multifunctional Shaddock Peel-Based Carbon Aerogel for Thermal-Insulation and Microwave Absorption Weihua Gu, Jiaqi Sheng, Qianqian Huang et al. · Nano-Micro Letters Open access 5 Apr 2021 582
6 Dual heterogeneous structures lead to ultrahigh strength and uniform ductility in a Co-Cr-Ni medium-entropy alloy X.H. Du, W. P. Li, Haitao Chang et al. · Nature Communications Open access 13 May 2020 559
7 Ecological risk assessment and source identification for heavy metals in surface sediment from the Liaohe River protected area, China Xin Ke, Shaofeng Gui, Hao Huang et al. · Chemosphere 15 Feb 2017 544
8 Multi-Layer domain adaptation method for rolling bearing fault diagnosis Xiang Li, Zhang We, Qian Ding et al. · Signal Processing Open access 7 Dec 2018 479
9 Characterization of stainless steel parts by Laser Metal Deposition Shaping Kai Zhang, Shijie Wang, Weijun Liu et al. · Materials & Design (1980-2015) 20 Sep 2013 459
10 Formation of the structure of chars during devolatilization of pulverized coal and its thermoproperties: A review Jianglong Yu, John A. Lucas, Terry F. Wall · Progress in Energy and Combustion Science 12 Oct 2006 426
11 Deep residual learning-based fault diagnosis method for rotating machinery Zhang We, Xiang Li, Qian Ding · ISA Transactions 24 Dec 2018 414
12 Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation Xiang Li, Zhang We, Qian Ding et al. · Journal of Intelligent Manufacturing 29 Nov 2018 408
13 Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks Xiang Li, Zhang We, Qian Ding · IEEE Transactions on Industrial Electronics 6 Sep 2018 403
14 High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation Xiaochun Cao, Ling Du, Xingxing Wei et al. · IEEE Transactions on Cybernetics 30 Apr 2015 387
15 Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism Xiang Li, Zhang We, Qian Ding · Signal Processing 27 Mar 2019 380
16 Machinery fault diagnosis with imbalanced data using deep generative adversarial networks Zhang We, Xiang Li, Xiang Li et al. · Measurement 13 Dec 2019 366
17 Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Zhaokui Li, Ming Liu, Yushi Chen et al. · IEEE Transactions on Geoscience and Remote Sensing 18 Feb 2021 303
18 Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning Xiang Li, Zhang We, Qian Ding et al. · IEEE Transactions on Industrial Informatics 9 Jul 2019 303
19 Federated learning for machinery fault diagnosis with dynamic validation and self-supervision Zhang We, Xiang Li, Xiang Li et al. · Knowledge-Based Systems 24 Dec 2020 300
20 Achieving ultrafine grain size in Mg–Al–Zn alloy by friction stir processing C.I. Chang, Xueyan Du, J.C. Huang · Scripta Materialia 11 May 2007 294
21 Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning Zhang We, Xiang Li, Hui Ma et al. · IEEE Transactions on Industrial Informatics 26 Jan 2021 279
22 Design, modeling, and control of morphing aircraft: A review Lingling Chu, Qi Li, Feng Gu et al. · Chinese Journal of Aeronautics Open access 26 Oct 2021 275
23 A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning Xiang Li, Zhang We, Qian Ding · Neurocomputing 23 May 2018 275
24 Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection Bin Liu, Deyuan Zhang, Ruifeng Xu et al. · Bioinformatics Open access 5 Dec 2013 274
25 Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning Zhang We, Xiang Li, Hui Ma et al. · IEEE Transactions on Industrial Informatics 8 Mar 2021 270
26 Fatigue crack growth in diffusion-bonded Ti-6Al-4V laminate with unbonded zones Xiaofan He, Yinghao Dong, Yuhai Li et al. · International Journal of Fatigue 6 Sep 2017 270
27 Graphene Platelets and Their Polymer Composites: Fabrication, Structure, Properties, and Applications Ge Shi, Sherif Araby, Christopher T. Gibson et al. · Advanced Functional Materials 24 Mar 2018 269
28 A review of efficient photocatalytic water splitting for hydrogen production Runzhe Li, Jingde Luan, Yu Zhang et al. · Renewable and Sustainable Energy Reviews 31 Aug 2024 267
29 Highly Sensitive and Stretchable MXene/CNTs/TPU Composite Strain Sensor with Bilayer Conductive Structure for Human Motion Detection Hui Ru Dong, Jingchao Sun, Xingmin Liu et al. · ACS Applied Materials & Interfaces 28 Mar 2022 254
30 Recent advances in carbon-based nanomaterials for flame retardant polymers and composites Sherif Araby, Brock Philips, Qingshi Meng et al. · Composites Part B Engineering 5 Feb 2021 253
31 Invisible Sensors: Simultaneous Sensing and Camouflaging in Multiphysical Fields Tianzhi Yang, Xue Brenda Bai, Dongliang Gao et al. · Advanced Materials Open access 26 Oct 2015 243
32 Simultaneous enhancement of mechanical and shape memory properties by heat-treatment homogenization of Ti2Ni precipitates in TiNi shape memory alloy fabricated by selective laser melting H.Z. Lu, L.H. Liu, Chao Qin Yang et al. · Journal of Material Science and Technology 5 Aug 2021 241
33 Insight into tetracycline photocatalytic degradation mechanism in a wide pH range on BiOI/BiOBr: Coupling DFT/QSAR simulations with experiments Qianqian Ni, Xin Ke, Wenjing Qian et al. · Applied Catalysis B: Environmental 25 Aug 2023 240
34 Age-hardening behavior of cast Al–Si base alloy Ruichao Li, Ruichao Li, R.D Li et al. · Materials Letters 10 Feb 2004 240
35 TG-FTIR-MS study of synergistic effects during co-pyrolysis of corn stalk and high-density polyethylene (HDPE) Xingping Kai, Tianhua Yang, Shengqiang Shen et al. · Energy Conversion and Management 15 Dec 2018 229
36 Technology development and application prospects of organic-based phase change materials: An overview Jialu Tao, Jingde Luan, Yue Liu et al. · Renewable and Sustainable Energy Reviews 3 Feb 2022 228
37 Advances in View-Invariant Human Motion Analysis: A Review Xiaofei Ji, Honghai Liu · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) 7 Aug 2009 227
38 Multi-heterostructure and mechanical properties of N-doped FeMnCoCr high entropy alloy Zhufeng He, Nan Jia, Haile Yan et al. · International Journal of Plasticity 21 Feb 2021 219
39 Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places Xiang Li, Zhang We, Nan-Xi Xu et al. · IEEE Transactions on Industrial Electronics 22 Aug 2019 215
40 Research on the processing experiments of laser metal deposition shaping Kai Zhang, Weijun Liu, Xiaofeng Shang · Optics & Laser Technology 7 Dec 2005 215
41 Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics Xiang Li, Zhang We · IEEE Transactions on Industrial Electronics 7 Apr 2020 214
42 Study of Chemical Structure Changes of Chinese Lignite upon Drying in Superheated Steam, Microwave, and Hot Air Arash Tahmasebi, Jianglong Yu, Yanna Han et al. · Energy & Fuels 29 May 2012 213
43 Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy Zhang We, Xiang Li · IEEE/ASME Transactions on Mechatronics 11 Mar 2021 211
44 Intelligent Digital Twin-Based Software-Defined Vehicular Networks Liang Zhao, Guangjie Han, Zhuhui Li et al. · IEEE Network 5 Jun 2020 210
45 Study on the co-pyrolysis of rice straw and high density polyethylene blends using TG-FTIR-MS Xingping Kai, Rundong Li, Tianhua Yang et al. · Energy Conversion and Management 17 May 2017 210
46 UAV trajectory planning based on bi-directional APF-RRT* algorithm with goal-biased Jiaming Fan, Xia Chen, Xiao Liang · Expert Systems with Applications 4 Nov 2022 209
47 A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading Liang Zhao, Kaiqi Yang, Zhiyuan Tan et al. · IEEE Transactions on Intelligent Transportation Systems Open access 24 Sep 2020 209
48 Mechanical and electrical properties of graphene and carbon nanotube reinforced epoxy adhesives: Experimental and numerical analysis Sensen Han, Qingshi Meng, Sherif Araby et al. · Composites Part A Applied Science and Manufacturing 27 Feb 2019 207
49 Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation Zhang We, Xiang Li, Xu Li et al. · Measurement 2 Jun 2020 206
50 Nonlinear energy sink with inerter Yewei Zhang, Yannan Lu, Wei Zhang et al. · Mechanical Systems and Signal Processing 25 Aug 2018 204

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.