Mengjie Zhang

Dr. Mengjie Zhang


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 June 2024 in Journal of Cleaner Production
Verified
Journal Article
Closed access
ANAssa Nsabiyeze
Assa Nsabiyeze
RMRuiqin Ma
Ruiqin Ma
JLJun Li
Jun Li
HLHailing Luo
Hailing Luo
QZQinan Zhao
Qinan Zhao
MZMengjie Zhang
Mengjie Zhang

25 August 2025 in Journal of Cleaner Production
Verified
Journal Article
Closed access
ANAssa Nsabiyeze
Assa Nsabiyeze
MZMengjie Zhang
Mengjie Zhang
JLJun Li
Jun Li
QZQinan Zhao
Qinan Zhao
XZXiaoshuan Zhang
Xiaoshuan Zhang

20 January 2024 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Xiaoshuan ZhangXiaoshuan Zhang
Xiaoshuan Zhang
DJDongsheng Jiang
Dongsheng Jiang
JLJun Li
Jun Li
QZQinan Zhao
Qinan Zhao
MZMengjie Zhang
Mengjie Zhang

23 January 2023 in Sensors
Verified
Journal Article
Open access
PDF file
PLPengfei Liu
Pengfei Liu
LZLuwei Zhang
Luwei Zhang
YLYou Li
You Li
HFHuanhuan Feng
Huanhuan Feng
Xiaoshuan ZhangXiaoshuan Zhang
Xiaoshuan Zhang
MZMengjie Zhang
Mengjie Zhang
The shell-closing strength (SCS) of oysters is the main parameter for physiological activities. The aim of this study was to evaluate the applicability of SCS as an indicator of live oyster health. This study developed a flexible pressure sensor system with polydimethylsiloxane (PDMS) as the substrate and reduced graphene oxide (rGO) as the sensitive layer to monitor SCS in live oysters (rGO-PDMS). In the experiment, oysters of superior, medium and inferior grades were selected as research objects, and the change characteristics of SCS were monitored at 4 °C and 25 °C. At the same time, the time series model was used to predict the survival rate of live oyster on the basis of changes in their SCS characteristics. The survival times of superior, medium and inferior oysters at 4 °C and 25 °C were 31/25/18 days and 12/10/7 days, respectively, and the best prediction accuracies for survival rate were 89.32%/82.17%/79.19%. The results indicate that SCS is a key physiological indicator of oyster survival. The dynamic monitoring of oyster vitality by means of flexible pressure sensors is an important means of improving oyster survival rate. Superior oysters have a higher survival rate in low-temperature environments, and our method can provide effective and reliable survival prediction and management for the oyster industry.

10 September 2025 in Journal of Cleaner Production
Verified
Journal Article
Closed access
DJDongsheng Jiang
Dongsheng Jiang
MZMengjie Zhang
Mengjie Zhang
JLJun Li
Jun Li
RMRuiqin Ma
Ruiqin Ma
KCKaikang Chen
Kaikang Chen
Stevan StankovskiStevan Stankovski
Stevan Stankovski