User profiles for Ziheng Feng

Ziheng Feng

University of New South Wales
Verified email at student.unsw.edu.au
Cited by 574

[HTML][HTML] Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking

Z Feng, J Zhao, L Suo, H Sun, H Long, H Yang, X Song… - The Crop Journal, 2025 - Elsevier
Near real–time maize phenology monitoring is crucial for field management, cropping
system adjustments, and yield estimation. Most phenological monitoring methods are post–…

Real-time monitoring of maize phenology with the VI-RGS composite index using time-series UAV remote sensing images and meteorological data

Z Feng, Z Cheng, L Ren, B Liu, C Zhang, D Zhao… - … and Electronics in …, 2024 - Elsevier
Real-time crop phenological information can provide crucial guidance for field management,
agricultural machinery scheduling, and other agricultural activities. However, in previous …

Multi‐interface engineering of MXenes for self‐powered wearable devices

C Liu, Z Feng, T Yin, T Wan, P Guan, M Li… - Advanced …, 2024 - Wiley Online Library
Self‐powered wearable devices with integrated energy supply module and sensitive
sensors have significantly blossomed for continuous monitoring of human activity and the …

Atmospheric water sorption–desorption as a pathway for green energy generation

Z Feng, T Yin, C Liu, X Yin, T Wan, Y Huang… - Advanced …, 2025 - Wiley Online Library
Beyond the indispensable resource for living creatures, water has recently been explored
as an eco‐friendly source of energy, known as the hydrovoltaic technology. Of significant …

Two-dimensional nanomaterials for moisture-electric generators: a review

Z Feng, G Hu, R Zhu, S Zhang, C Liu… - ACS Applied Nano …, 2022 - ACS Publications
As an emerging candidate for a sustainable power supply, moisture-electric generators (MEGs)
have attracted great attention in recent years. Unlike the conventional hydroelectric …

[HTML][HTML] Spectroscopic detection of wheat yellow mosaic virus infection based on invariant shape spectral processing and machine learning

Z Feng, X Ding, H Zhang, L He, J Duan, X Ma… - Ecological …, 2023 - Elsevier
Wheat yellow mosaic disease (WYMD) is a low-temperature soil-borne disease that causes
serious yield and economic losses. Reflectance spectroscopy has great potential for …

Recent development of moisture‐enabled‐electric nanogenerators

…, G Hu, R Patterson, F Chen, C Liu, S Zhang, Z Feng… - Small, 2022 - Wiley Online Library
Power generation by converting energy from the ambient environment has been considered
a promising strategy for developing decentralized electrification systems to complement the …

Constructing water‐retaining/ion‐regulating bi‐layers for highly durable, all‐climate, efficient moisture electric generators

Z Feng, T Wan, T Yin, C Liu, S Zhang, H Jia… - Advanced …, 2025 - Wiley Online Library
Moisture electric generators (MEGs), which can directly convert chemical energy in moisture
into electricity have demonstrated great potential for powering wearable electronics and IoT …

Refining water body extraction by remote sensing with deep learning models: exploring different band combinations

Z Feng, F Zhang, X Ma, CY Jim, D Wu… - IEEE Journal of …, 2025 - ieeexplore.ieee.org
Satellite-based remote sensing is essential for monitoring water resources and supporting
ecological conservation and sustainable development. However, complex scenarios, such as …

Ranking model averaging: Ranking based on model averaging

Z Feng, B He, T Xie, X Zhang… - INFORMS Journal on …, 2025 - pubsonline.informs.org
Ranking problems are commonly encountered in practical applications, including order priority
ranking, wine quality ranking, and piston slap noise performance ranking. The responses …