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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
59
Citations
10988
World Ranking
175
National Ranking
58

Engineering and Technology

D-Index
55
Citations
9440
World Ranking
3064
National Ranking
621

Jun-Hu Cheng 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 Jun-Hu Cheng 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: 89 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Jun-Hu Cheng 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 Jun-Hu Cheng 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: 55 D-Index — 70th percentile

70% 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

  • 2025 - Research.com Rising Stars Award

Overview

Jun-Hu Cheng is affiliated with the South China University of Technology in China and has contributed extensively to the fields of Agricultural and Biological Sciences and Medicine. Their research spans interdisciplinary areas with significant output in Food Science and Molecular Biology, as well as Radiology, Nuclear Medicine and Imaging, Materials Chemistry, and Biotechnology.

The scientist's work addresses a variety of topics including:

  • Plasma Applications and Diagnostics
  • Meat and Animal Product Quality
  • Microbial Inactivation Methods
  • Food Allergy and Anaphylaxis Research
  • Protein Hydrolysis and Bioactive Peptides
  • Microencapsulation and Drying Processes
  • Proteins in Food Systems

Jun-Hu Cheng has authored numerous publications, frequently collaborating with other researchers. Their regular co-authors include Da-Wen Sun, Rana Muhammad Aadil, Zhiwei Liu, Yuandong Lin, and Ji Ma.

They have published extensively in various scientific journals, with frequent appearances in:

  • Food Chemistry
  • Critical Reviews in Food Science and Nutrition
  • Trends in Food Science & Technology
  • Ultrasonics Sonochemistry
  • International Journal of Biological Macromolecules

Some representative publications include:

  • Novel nonthermal and thermal pretreatments for enhancing drying performance and improving quality of fruits and vegetables, 2021, Trends in Food Science & Technology
  • Effects of plasma chemistry on the interfacial performance of protein and polysaccharide in emulsion, 2020, Trends in Food Science & Technology
  • Effects of dielectric barrier discharge cold plasma treatments on degradation of anilazine fungicide and quality of tomato (Lycopersicon esculentum Mill) juice, 2020, International Journal of Food Science & Technology
  • Foodborne bacterial stress responses to exogenous reactive oxygen species (ROS) induced by cold plasma treatments, 2020, Trends in Food Science & Technology
  • Inhibition of fruit softening by cold plasma treatments: affecting factors and applications, 2020, Critical Reviews in Food Science and Nutrition

Best Publications

  • A review on recent advances in cold plasma technology for the food industry: Current applications and future trends

    Flora-Glad Chizoba Ekezie;Flora-Glad Chizoba Ekezie;Da-Wen Sun;Jun-Hu Cheng;Jun-Hu Cheng

  • Microwave processing techniques and their recent applications in the food industry

    Qiushan Guo;Qiushan Guo;Da-Wen Sun;Jun-Hu Cheng;Jun-Hu Cheng;Zhong Han;Zhong Han

  • Texture and Structure Measurements and Analyses for Evaluation of Fish and Fillet Freshness Quality: A Review.

    Jun-Hu Cheng;Da-Wen Sun;Da-Wen Sun;Zhong Han;Xin-An Zeng

  • Microwave-assisted food processing technologies for enhancing product quality and process efficiency: A review of recent developments

    Flora-Glad Chizoba Ekezie;Flora-Glad Chizoba Ekezie;Da-Wen Sun;Zhang Han;Zhang Han;Jun-Hu Cheng;Jun-Hu Cheng

  • Effects of nonthermal food processing technologies on food allergens: A review of recent research advances

    Flora-Glad Chizoba Ekezie;Flora-Glad Chizoba Ekezie;Jun-Hu Cheng;Jun-Hu Cheng;Da-Wen Sun

  • Partial Least Squares Regression (PLSR) Applied to NIR and HSI Spectral Data Modeling to Predict Chemical Properties of Fish Muscle

    Jun-Hu Cheng;Jun-Hu Cheng;Jun-Hu Cheng;Da-Wen Sun;Da-Wen Sun;Da-Wen Sun

  • Effects of electric fields and electromagnetic wave on food protein structure and functionality: A review

    Zhong Han;Zhong Han;Meng-jie Cai;Meng-jie Cai;Jun-Hu Cheng;Jun-Hu Cheng;Da-Wen Sun

  • Applications of Near-infrared Spectroscopy in Food Safety Evaluation and Control: A Review of Recent Research Advances

    Jia-Huan Qu;Dan Liu;Jun-Hu Cheng;Da-Wen Sun

  • Quality analysis, classification, and authentication of liquid foods by near-infrared spectroscopy: A review of recent research developments

    Lu Wang;Da-Wen Sun;Hongbin Pu;Jun-Hu Cheng

  • Acceleration of microwave-assisted extraction processes of food components by integrating technologies and applying emerging solvents: A review of latest developments

    Flora-Glad Chizoba Ekezie;Flora-Glad Chizoba Ekezie;Da-Wen Sun;Jun-Hu Cheng;Jun-Hu Cheng

  • Cold Plasma-Mediated Treatments for Shelf Life Extension of Fresh Produce: A Review of Recent Research Developments

    Yuanyuan Pan;Yuanyuan Pan;Jun-Hu Cheng;Jun-Hu Cheng;Da-Wen Sun

  • Recent advances in methods and techniques for freshness quality determination and evaluation of fish and fish fillets: a review.

    Jun-Hu Cheng;Da-Wen Sun;Xin-An Zeng;Dan Liu

  • Classification of fresh and frozen-thawed pork muscles using visible and near infrared hyperspectral imaging and textural analysis.

    Hongbin Pu;Da-Wen Sun;Da-Wen Sun;Ji Ma;Jun-Hu Cheng

  • Raman imaging for food quality and safety evaluation: Fundamentals and applications

    Tehseen Yaseen;Tehseen Yaseen;Da-Wen Sun;Jun-Hu Cheng;Jun-Hu Cheng

  • Applications of non-destructive spectroscopic techniques for fish quality and safety evaluation and inspection

    Jun-Hu Cheng;Qiong Dai;Da-Wen Sun;Da-Wen Sun;Xin-An Zeng

  • Rapid and non-invasive detection of fish microbial spoilage by visible and near infrared hyperspectral imaging and multivariate analysis

    Jun-Hu Cheng;Da-Wen Sun;Da-Wen Sun

  • Novel nonthermal and thermal pretreatments for enhancing drying performance and improving quality of fruits and vegetables

    Edidiong Joseph Bassey;Edidiong Joseph Bassey;Jun-Hu Cheng;Jun-Hu Cheng;Da-Wen Sun

  • Chemical, physical and physiological quality attributes of fruit and vegetables induced by cold plasma treatment: Mechanisms and application advances

    Ya-Qi Chen;Ya-Qi Chen;Jun-Hu Cheng;Jun-Hu Cheng;Da-Wen Sun

  • Advanced Techniques for Hyperspectral Imaging in the Food Industry: Principles and Recent Applications.

    Ji Ma;Ji Ma;Da-Wen Sun;Hongbin Pu;Hongbin Pu;Jun-Hu Cheng;Jun-Hu Cheng

  • Effects of plasma chemistry on the interfacial performance of protein and polysaccharide in emulsion

    Yu-Han Jiang;Yu-Han Jiang;Jun-Hu Cheng;Jun-Hu Cheng;Da-Wen Sun

  • Development of hyperspectral imaging coupled with chemometric analysis to monitor K value for evaluation of chemical spoilage in fish fillets.

    Jun-Hu Cheng;Da-Wen Sun;Da-Wen Sun;Hongbin Pu;Zhiwei Zhu

  • Combining the genetic algorithm and successive projection algorithm for the selection of feature wavelengths to evaluate exudative characteristics in frozen–thawed fish muscle

    Jun-Hu Cheng;Da-Wen Sun;Da-Wen Sun;Hongbin Pu

  • Pork biogenic amine index (BAI) determination based on chemometric analysis of hyperspectral imaging data

    Weiwei Cheng;Weiwei Cheng;Da-Wen Sun;Da-Wen Sun;Da-Wen Sun;Jun-Hu Cheng;Jun-Hu Cheng

  • Non-destructive and rapid determination of TVB-N content for freshness evaluation of grass carp (Ctenopharyngodon idella) by hyperspectral imaging

    Jun-Hu Cheng;Da-Wen Sun;Da-Wen Sun;Xin-An Zeng;Hong-Bin Pu

Frequent Co-Authors

Da-Wen Sun
Da-Wen Sun University College Dublin
Hongbin Pu
Hongbin Pu South China University of Technology
Xin-An Zeng
Xin-An Zeng South China University of Technology
Alaa El-Din A. Bekhit
Alaa El-Din A. Bekhit University of Otago
Bart Nicolai
Bart Nicolai KU Leuven
Qingyi Wei
Qingyi Wei Duke University

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