World's Best Scientists 2026 revealed!
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Engineering and Technology
China
2026

D-Index & Metrics

Engineering and Technology

D-Index
96
Citations
33562
World Ranking
192
National Ranking
34

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in China Leader Award
  • 2025 - Research.com Engineering and Technology in China Leader Award

Overview

Yong He is affiliated with Zhejiang University in China and has a significant presence in the fields of engineering and agricultural and biological sciences. Their research spans several specialized subfields, including plant science, analytical chemistry, biomedical engineering, ecology, and electrical and electronic engineering.

The scientist's work focuses heavily on applications intersecting spectroscopy and chemometric analyses, smart agriculture and artificial intelligence, remote sensing in agriculture, and advanced chemical sensor technologies. Additional research topics include spectroscopy techniques in biomedical and chemical research, leaf properties and growth measurement, and remote sensing and LiDAR applications.

Yong He has published extensively in prominent venues, frequently contributing to:

  • Computers and Electronics in Agriculture
  • SSRN Electronic Journal
  • Frontiers in Plant Science
  • arXiv (Cornell University)
  • Agriculture

Collaborations are a notable part of their research, with frequent coauthors including Xiaoli Li, Chu Zhang, Fei Liu, Haiyan Cen, and Lei Zhou. These partnerships have resulted in a robust body of work across related domains.

Representative recent publications include:

  • "A survey on the 5G network and its impact on agriculture: Challenges and opportunities" (2020), Computers and Electronics in Agriculture
  • "Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer - a case study of small farmlands in the South of China" (2020), Agricultural and Forest Meteorology
  • "Application of essential oils in packaging films for the preservation of fruits and vegetables: A review" (2021), Food Chemistry
  • "A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping" (2021), Computers and Electronics in Agriculture
  • "Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging" (2020), Food Chemistry

Overall, the scientific output of Yong He reflects interdisciplinary work combining engineering principles with agricultural and biological sciences, emphasizing remote sensing, spectroscopy, and advanced imaging technologies to address challenges in plant phenotyping, crop yield prediction, and food preservation.

Best Publications

  • Theory and application of near infrared reflectance spectroscopy in determination of food quality

    Haiyan Cen;Yong He

  • Application of Deep Learning in Food: A Review.

    Lei Zhou;Chu Zhang;Fei Liu;Zhengjun Qiu

  • New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay

    Yong He;Guoping Liu;D. Rees

  • Non-destructive measurement of acidity, soluble solids and firmness of Satsuma mandarin using Vis/NIR-spectroscopy techniques

    Antihus Hernández Gómez;Yong He;Annia García Pereira

  • New delay-dependent stability criteria and stabilizing method for neutral systems

    Min Wu;Yong He;Jin-Hua She

  • A new looped-functional for stability analysis of sampled-data systems

    Hong-Bing Zeng;Kok Lay Teo;Yong He

  • A survey on the 5G network and its impact on agriculture: Challenges and opportunities

    Yu Tang;Sathian Dananjayan;Chaojun Hou;Qiwei Guo

  • Discrimination of varieties of tea using near infrared spectroscopy by principal component analysis and BP model

    Yong He;Xiaoli Li;Xunfei Deng

  • Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network

    Zhengjun Qiu;Jian Chen;Yiying Zhao;Susu Zhu

  • Overview of recent advances in stability of linear systems with time-varying delays

    Xian-Ming Zhang;Qing-Long Han;Alexandre Seuret;Frédéric Gouaisbaut

  • Study on infrared spectroscopy technique for fast measurement of protein content in milk powder based on LS-SVM

    Di Wu;Yong He;Shuijuan Feng;Da-Wen Sun

  • Delay-dependent stability analysis of neural networks with time-varying delay

    Chuan-Ke Zhang;Yong He;Lin Jiang;Wen-Juan Lin

  • The research status and development trend of additive manufacturing technology

    Unknown

  • Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China

    Liang Wan;Haiyan Cen;Jiangpeng Zhu;Jiafei Zhang

  • Hyperspectral imaging analysis for ripeness evaluation of strawberry with support vector machine

    Chu zhang;Chentong Guo;Fei Liu;Wenwen Kong

  • Determination of Hemicellulose, Cellulose and Lignin in Moso Bamboo by Near Infrared Spectroscopy

    Xiaoli Li;Chanjun Sun;Binxiong Zhou;Yong He

  • Application of Visible and Near Infrared Hyperspectral Imaging to Differentiate Between Fresh and Frozen–Thawed Fish Fillets

    Fengle Zhu;Derong Zhang;Yong He;Fei Liu

  • Rapid prediction of moisture content of dehydrated prawns using online hyperspectral imaging system

    Di Wu;Hui Shi;Songjing Wang;Yong He

  • Application of long-wave near infrared hyperspectral imaging for measurement of color distribution in salmon fillet

    Di Wu;Da-Wen Sun;Yong He

  • Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages

    Yang Chen;Won Suk Lee;Hao Gan;Natalia Peres

  • Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers

    Hongyan Zhu;Bingquan Chu;Chu Zhang;Fei Liu

  • Prediction of soil macronutrients content using near-infrared spectroscopy

    Yong He;Min Huang;Annia García;Antihus Hernández

  • Hybrid variable selection in visible and near-infrared spectral analysis for non-invasive quality determination of grape juice.

    Di Wu;Yong He;Pengcheng Nie;Pengcheng Nie;Fang Cao

  • Sampled-data-based dissipative control of T-S fuzzy systems

    Hong-Bing Zeng;Kok Lay Teo;Yong He;Wei Wang;Wei Wang

  • Application of hyperspectral imaging and chemometric calibrations for variety discrimination of maize seeds.

    Xiaolei Zhang;Fei Liu;Yong He;Xiaoli Li

Frequent Co-Authors

Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Min Wu
Min Wu China University of Geosciences
Chuan-Ke Zhang
Chuan-Ke Zhang China University of Geosciences
Li Wang
Li Wang Zhejiang University
Da-Wen Sun
Da-Wen Sun University College Dublin
Weijun Zhou
Weijun Zhou Zhejiang University
Jianzhong Fu
Jianzhong Fu Zhejiang University
Lin Jiang
Lin Jiang University of Liverpool
Jinhua She
Jinhua She Tokyo University of Technology
Hong-Bing Zeng
Hong-Bing Zeng Hunan University of Technology

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