Jianan Yin

ORCID: 0000-0002-1469-8759
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About
Contact & Profiles
Research Areas
  • Air Traffic Management and Optimization
  • Aviation Industry Analysis and Trends
  • Advanced Photocatalysis Techniques
  • Microplastics and Plastic Pollution
  • Vehicle Routing Optimization Methods
  • Traffic control and management
  • Nanoparticles: synthesis and applications
  • Recycling and Waste Management Techniques
  • Advanced Manufacturing and Logistics Optimization
  • Advanced Nanomaterials in Catalysis
  • Advanced Cellulose Research Studies
  • Traffic and Road Safety
  • Traffic Prediction and Management Techniques
  • Surface Modification and Superhydrophobicity
  • Aerospace and Aviation Technology
  • biodegradable polymer synthesis and properties
  • Autonomous Vehicle Technology and Safety
  • Water resources management and optimization
  • Transportation Planning and Optimization
  • Municipal Solid Waste Management
  • Advanced Decision-Making Techniques
  • Urban Transport Systems Analysis
  • Industrial Technology and Control Systems
  • Advanced Algorithms and Applications
  • Human-Automation Interaction and Safety

University of Regina
2020-2025

Nanjing University of Aeronautics and Astronautics
2016-2025

University of British Columbia
2025

Traffic Management Research Institute
2017-2024

Hebei Meteorological Bureau
2024

City University of Hong Kong, Shenzhen Research Institute
2024

City University of Hong Kong
2024

Applied Science Private University
2024

Chinese Academy of Civil Aviation Science and Technology
2023

China University of Petroleum, Beijing
2022

Although polyethersulfone (PES) membranes are extensively utilized in water and wastewater treatment, they typically encounter serious bio/organic fouling problems. In this work, an antimicrobial antifouling PES membrane was developed through incorporating novel ZnO/PHMB (zinc oxide/ polyhexamethylene biguanide hydrochloride) nanocomposites on the surface of a commercial membrane, with PDA (polydopamine) serving as intermediate connection layer. XPS, along synchrotron-based XRF ATR-FTIR...

10.1016/j.cej.2024.148744 article EN cc-by-nc Chemical Engineering Journal 2024-01-14

The highly reversible plating/stripping of Zn is plagued by dendrite growth and side reactions on metallic anodes, retarding the commercial application aqueous Zn-ion batteries. Herein, a distinctive nano dual-phase diamond (NDPD) comprised an amorphous–crystalline heterostructure developed to regulate deposition mechanically block growth. rich heterointerfaces in NDPD endow modified anodes with enhanced affinity result homogeneous nucleation. In addition, unparalleled hardness effectively...

10.1021/acsnano.4c01054 article EN ACS Nano 2024-05-22

10.1016/j.tre.2017.07.009 article EN Transportation Research Part E Logistics and Transportation Review 2017-08-05

The complex layout of the airport surface, coupled with interrelated vehicle behaviors and densely mixed traffic flows, frequently leads to operational conflict risks. To address this issue, research was conducted on recognition characteristics risk assessment for surface operations in flows. Firstly, a topological network model established based analysis physical structure features surface. Based Monte Carlo simulation method, framework proposed, enabling flows involving aircraft vehicles....

10.3390/aerospace11040254 article EN cc-by Aerospace 2024-03-25

Accurate prediction of taxi-out time is essential for enhancing airport performance and flight efficiency. In this paper, we apply machine learning techniques to predict the departure aircraft at Shanghai Pudong International Airport. The exploration historical data reveals several relevant influencing factors as well their correlations. We formulate an extensive system predictors our approach, based on a macroscopic network topology from aggregate view. can be divided into 4 categories;...

10.1109/dasc.2018.8569664 article EN 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC) 2018-09-01

Airport arrival and departure movements are characterized by high dynamism, stochasticity, uncertainty. Therefore, it is of paramount importance to predict analyze surface taxi time accurately scientifically. This paper conducts a comprehensive review existing studies on prediction analysis. Firstly, the overall research framework analysis categorized from three perspectives: type, movement modeling method. Then, focusing two means analytical simulation modeling, mainstream models methods...

10.3390/app14031306 article EN cc-by Applied Sciences 2024-02-05

Limited data exist on the interactions between nanoplastics (NPs) and co-contaminants under diverse environmental conditions. Herein, a factorial composite toxicity analysis approach (FCTA) was developed to analyze time-dependent effects of NPs (0 ∼ 60 mg/L), copper (Cu, 0.2 6 mg/L) phenanthrene (PHE, 0.001 1 microalgae pH (6.7 9.1), dissolved organic matter (DOM, 1.5 25.1 salinity (1 417 temperature (23 33 °C) within Canadian prairie context. The toxic mechanism revealed by multiple...

10.1016/j.jhazmat.2024.135652 article EN cc-by Journal of Hazardous Materials 2024-08-27

The interaction between supply and demand of civil aviation passenger transport serves as an important reference for airport planning, transportation structure optimization dynamic matching demand. Based on the panel data 31 province-level administrative divisions (excluding Hong Kong, Macao, Taiwan) in China spanning from 2004 to 2019, this study employs entropy-weighted TOPSIS method evaluate level transport. On foundation, uses modified coupling coordination degree model measure demand,...

10.3390/app15031362 article EN cc-by Applied Sciences 2025-01-28
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