Bin Jiang

Bin JiangBin Jiang is Professor at Chongqing University, and vice-director of the National Engineering Research Center for Magnesium Alloys (CCMg). He is also director of materials, and a leader of innovation in national programs, including in the Ministry ofScience and Technology. He is the director of China Materials Research Society, executive director of National Magnesium Alloy and Application Professional Committee, secretary general of Science Popularization Work Committee of China Materials Research Society, and head of the deformation magnesium alloy working group in International Organization for Standardization (ISO). His research focusses on the alloys and processing technology of magnesium. He has published over 70 papers, and also holds 35 authorized patents. He is a leader in the field. Read More Read Less

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1.
Fault-Tolerant Control of Unmanned Flight Vehicles37 % NR
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25 Sep 2025
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Cellular Communication Networks and Standards
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13 Jul 2024
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Bioactive Materials for Soft Tissue Regeneration45 %
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14 Jun 2024
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Fault-Tolerant Cooperative Control of Unmanned Aerial Vehicles37 %
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07 Dec 2023
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Enterprises’ Green Growth Model and Value Chain Reconstruction37 %
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13 Oct 2023
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Distributed Machine Learning and Gradient Optimization37 %
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25 Feb 2023
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Advanced Data Mining and Applications37 %
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05 Nov 2023
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Advanced Data Mining and Applications37 %
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05 Nov 2023
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Advanced Data Mining and Applications37 %
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Advanced Data Mining and Applications37 %
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11.
Advanced Data Mining and Applications37 %
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05 Nov 2023
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Enterprises’ Green Growth Model and Value Chain Reconstruction37 %
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12 Oct 2022
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Distributed Machine Learning and Gradient Optimization40 %
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24 Feb 2022
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14.
High Plasticity Magnesium Alloys45 %
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24 Jan 2022
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Landscape Empowerment37 %
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17 Feb 2021
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Landscape Empowerment37 %
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₹10,031
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17 Feb 2021
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17.
Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains37 %
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26 Apr 2021
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18.
Controversies in Radiation Oncology38 %
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27 Mar 2020
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Fuzzy System Identification and Adaptive Control37 %
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10 Jun 2020
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20.
Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains37 %
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