Xinyue Zhao

Harbin Institute of Technology

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i-10 index

Research Trends

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Co-Authors

Shunwen Bai

Harbin Institute of Technology

Chunyan Li

Northeast Agricultural University

Ning Hou

Northeast Agricultural University

Hua-Tao Xie

Union Hospital

Hailian Zang

Northeast Agricultural University

Tuoshi Zhang

Northeast Agricultural University

Mengran Guo

Northeast Agricultural University

Mingchang Zhang

Huazhong University of Science and Technology

Chao-Ye Duan

Renmin Hospital of Wuhan University

Xiangwei Meng

Northeast Agricultural University

Cooperative Institutions

Chinese Academy of Sciences

Northeast Agricultural University

Harbin Institute of Technology

Chinese Academy of Medical Sciences & Peking Union Medical College

Zhejiang University

Huazhong University of Science and Technology

University of Chinese Academy of Sciences

Tsinghua University

Beijing Normal University

Peking University

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Carbon emission inventory and mitigation potential for private cars in Chinese cities

Transportation Research Part D Transport and Environment (2025)

Xinyue Zhao Yuheng Jiang Junchao Zhao Yongyue Wang Zhitao Cai

Carbon fibers

Emission inventory

10.1016/j.trd.2025.104614

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Virtual sample generation empowers machine learning-based effluent prediction in constructed wetlands

Journal of Environmental Management (2023)

Qiyu Dong Shunwen Bai Zhen Wang Xinyue Zhao Shan-Shan Yang

Extreme Learning Machine

10.1016/j.jenvman.2023.118961

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Citations (10)

Predicting traffic speed in urban transportation subnetworks for multiple horizons

Justin Dauwels Aamer Aslam Muhammad Tayyab Asif Xinyue Zhao Nikola Mitro Vie

Traffic forecasting is increasingly taking on an important role in many intelligent transportation systems (ITS) applications. However, prediction is typically performed for individual road segments and prediction horizons. In this study, we focus on the problem of collective prediction for multiple road segments and prediction-horizons. To this end, we develop various matrix and tensor based models by applying partial least squares (PLS), higher order partial least squares (HO-PLS) and N-way partial least squares (N-PLS). These models can simultaneously forecast traffic conditions for multiple road segments and prediction-horizons. Moreover, they can also perform the task of feature selection efficiently. We analyze the performance of these models by performing multi-horizon prediction for an urban subnetwork in Singapore.

Subnetwork

Predictive modelling

Least-squares function approximation

10.1109/icarcv.2014.7064363

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Citations (27)

MOESM1 of Genotypic characteristics of Chinese patients with BHD syndrome and functional analysis of FLCN variants

Figshare (2019)

Keqiang Liu Wenshuai Xu Xinlun Tian Meng Xiao Xinyue Zhao

Additional file 1: Primer sequences for minigene construction, mutagenesis and RT-PCR. (XLSX 15 kb)

Folliculin

10.6084/m9.figshare.9986693

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Study on the Spatial Interaction between Urban Economic and Ecological Environment—A Case Study of Wuhan City

International Journal of Environmental Research and Public Health (2022)

Liang Geng Xinyue Zhao Yu An Lingtong Peng Dan Ye

In order to study the interactive relationship between urban economic and ecological environment, taking Wuhan as an example, Landsat and MODIS remote sensing satellite data and social and economic data were fused with multisource data, and multidimensional indicators were selected to construct the comprehensive evaluation index system of urban economic and ecological environment. The weights were determined by combining subjective and objective methods. Then, the decoupling elasticity coefficient method and spatial autocorrelation model were used to evaluate the dynamic relationship and spatial relationship between economic development and ecological environment in Wuhan from 2014 to 2020. The results showed that there was an interaction between the urban economic and the ecological environment in Wuhan. The ecological level index had a spatial effect, the adjustment of industrial structure had a positive effect on the improvement of the ecological level, and the improvement of the ecological level was also helpful to promote economic development. The typical districts of Huangpi District, Xinzhou District, Jiangxia District, Hannan District, Caidian District, and Hongshan District had superior location and ecological advantages, as well as high development potential. Lastly, on the basis of the empirical analysis results, policy suggestions are made from four aspects: regional differentiated construction, green development, energy consumption, and wetland construction.

Ecological study

10.3390/ijerph191610022

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Citations (1)

Study on Word Formation and Coding of French and Romanian Table Separated Event Verbs

Journal of Education Humanities and Social Sciences (2023)

Xinyue Zhao

This article invites 10 native French and 10 Romanian speakers to describe 24 videos, and then compares the verbs representing separation events to conduct empirical research on separation events in French and Romanian. In the verb expression of separation events, both French and Romanian verbs use corresponding verb prefixes, indicating tension from "receiving" to "opening". However, when encoding the same separation event, the encoding focus of the two languages is different. Romanian focuses on the movement of a certain component after separation, while French focuses on the action itself. However, overall, both languages can be classified as dual frame languages with both satellite frame language and verb frame language features.

Romanian

Prefix

Component (thermodynamics)

10.54097/pgjj3v54

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Effects of selenium application with different combinations of secondary elements on ‘Qingcui’ plum leaf nutrition and fruit quality

Plant and Soil (2024)

Xieping Sun Shaobing Gao Ling Min Junyan Wang Xinyue Zhao

Dry weight

Growing season

10.1007/s11104-024-06566-1

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Vertical-scale spatial influence of radial oxygen loss on rhizosphere microbial community in constructed wetland

Environment International (2022)

Shunwen Bai Juntong Chen Mengran Guo Nan-Qi Ren Xinyue Zhao

Complex interactions between plants and microorganisms form the basis of constructed wetlands (CWs) for pollutant removal. In the rhizosphere, radial oxygen loss (ROL) plays a key role in the activity and abundance of functional microorganisms. However, little has been done to explore how ROL would influence the niche differentiation of microbial communities at different vertical spatial scales. We demonstrate that ROL decreases with depth, promoting an oxidation-reduction rhizosphere microecosystem in CWs. The high level of ROL in the upper layer could support the oxygen supply for aerobic bacteria (Haliangium), facilitating the COD (60%) and NH4+-N (50%) removal, whereas the enrichment of denitrifiers (e.g., Hydrogenophaga and Ralstonia) and methanotrophs (Methanobaterium) in the lower layer could stimulate denitrification. The function prediction results further certified that the abundance of genes catalyzing nitrifying and denitrification processes were significantly enhanced in the upper and bottom layers, respectively, which was attributed to the oxygen concentration gradient in the rhizosphere. This study contributes to further unraveling the rhizosphere effect and enables an improved understanding of the decontamination mechanisms of CWs.

Constructed wetland

10.1016/j.envint.2022.107690

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Citations (52)

Forest: Who Moved My Carbon Dioxide

BCP Business & Management (2022)

Xinyue Zhao Mingsong He Guoyu Yin Weina Li Xiaolong Cai

In recent years, carbon capture and storage (CCS) has emerged as a hot issue in the international community to study the response to global warming in order to slow down the emission of greenhouse gases due to global warming. Firstly, we established a better forest carbon sequestration model in this paper, and we used the knowledge of spatial informatics to establish a CASA model to estimate the net plant productivity (NPP), and finally obtained the trend spatial distribution of NPP. Subsequently, considering the differences in various factors of forests around the world, we first used k-means cluster analysis to classify each of them, and roughly obtained six major categories.

Carbon fibers

Greenhouse effect

10.54691/bcpbm.v22i.1208

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Characterizing Water Pollution Potential in Life Cycle Impact Assessment Based on Bacterial Growth and Water Quality Models

Water (2018)

Shunwen Bai Xiuheng Wang Xinyue Zhao Nan-Qi Ren

For the life cycle assessment (LCA) of wastewater management, eutrophication is considered the most relevant factor. However, eutrophication is not the only pathway through which wastewater influences the environment, and merely characterizing eutrophication potential is not sufficient for the LCA framework to reflect the influence of wastewater. This study defines the Bacterial Depletion of Oxygen (BDO)—a new impact category that represents the oxygen depleting potential caused by the growth of microorganisms—and characterization models and characterization factors are developed for the application of BDO. Water quality models (both one- and two-dimensional) are incorporated into the BDO characterization models so that the LCA framework includes some spatially differentiated factors, and can be used to estimate the direct impact of wastewater on receiving environment (IBDO value). Based on three case studies, this study demonstrates how the BDO category can be applied for the evaluation of wastewater management. Results show that increases in the downstream distance and self-purification coefficients reduce the IBDO value, whereas the increase in water velocity raises the IBDO value. Future integration of the BDO category with water quality models must link the dilution effect of water bodies, the environmental carrying capacity of receiving water, and the distribution of water pollutants in eutrophication and bacterial oxygen depletion.

Portable water purification

10.3390/w10111621

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Citations (9)