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
33

Yong He publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Yong He sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 1,018 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Yong He D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Yong He sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 96 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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