World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
69
Citations
17211
World Ranking
1140
National Ranking
221

Hairong Zheng 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 Hairong Zheng 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: 864 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Hairong Zheng 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 Hairong Zheng 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: 69 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Best Publications

  • Piezoelectric single crystal ultrasonic transducers for biomedical applications

    Qifa Zhou;Kwok Ho Lam;Hairong Zheng;Weibao Qiu

  • Fully Bioabsorbable Natural-Materials-Based Triboelectric Nanogenerators.

    Wen Jiang;Hu Li;Zhuo Liu;Zhe Li

  • Bright Aggregation-Induced-Emission Dots for Targeted Synergetic NIR-II Fluorescence and NIR-I Photoacoustic Imaging of Orthotopic Brain Tumors

    Zonghai Sheng;Bing Guo;Dehong Hu;Shidang Xu

  • Bright Aggregation-Induced-Emission Dots for Targeted Synergetic NIR-II Fluorescence and NIR-I Photoacoustic Imaging of Orthotopic Brain Tumors.

    Zonghai Sheng;Bing Guo;Dehong Hu;Shidang Xu

  • Acoustically-Active Microbubbles Conjugated to Liposomes: Characterization of a Proposed Drug Delivery Vehicle

    Azadeh Kheirolomoom;Paul A. Dayton;Aaron F.H. Lum;Erika Little

  • Paclitaxel-liposome-microbubble complexes as ultrasound-triggered therapeutic drug delivery carriers.

    Fei Yan;Lu Li;Zhiting Deng;Qiaofeng Jin

  • Deep learning based classification of breast tumors with shear-wave elastography.

    Qi Zhang;Yang Xiao;Wei Dai;Jingfeng Suo

  • Through Scalp and Skull NIR-II Photothermal Therapy of Deep Orthotopic Brain Tumors with Precise Photoacoustic Imaging Guidance

    Bing Guo;Zonghai Sheng;Dehong Hu;Chengbo Liu

  • Molecular imaging-guided photothermal/photodynamic therapy against tumor by iRGD-modified indocyanine green nanoparticles.

    Fei Yan;Fei Yan;Hao Wu;Hongmei Liu;Zhiting Deng

  • A Force to Be Reckoned With: A Review of Synthetic Microswimmers Powered by Ultrasound

    K. Jagajjanani Rao;K. Jagajjanani Rao;Fei Li;Long Meng;Hairong Zheng

  • Ultrasonic Control of Neural Activity through Activation of the Mechanosensitive Channel MscL

    Jia Ye;Siyang Tang;Long Meng;Xia Li

  • DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

    Shanshan Wang;Huitao Cheng;Leslie Ying;Taohui Xiao

  • Precise Deciphering of Brain Vasculatures and Microscopic Tumors with Dual NIR-II Fluorescence and Photoacoustic Imaging.

    Bing Guo;Zhe Feng;Dehong Hu;Shidang Xu

  • Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining

    Unknown

  • Molecular Engineering of Conjugated Polymers for Biocompatible Organic Nanoparticles with Highly Efficient Photoacoustic and Photothermal Performance in Cancer Theranostics

    Bing Guo;Zonghai Sheng;Dehong Hu;Anran Li

  • Annotation-efficient deep learning for automatic medical image segmentation

    Shanshan Wang;Cheng Li;Rongpin Wang;Zaiyi Liu

  • NIR-Laser-Controlled Drug Release from DOX/IR-780-Loaded Temperature-Sensitive-Liposomes for Chemo-Photothermal Synergistic Tumor Therapy.

    Fei Yan;Wanlu Duan;Yekuo Li;Hao Wu

  • Activatable albumin-photosensitizer nanoassemblies for triple-modal imaging and thermal-modulated photodynamic therapy of cancer.

    Dehong Hu;Zonghai Sheng;Guanhui Gao;Fungming Siu

  • Localized delivery of curcumin into brain with polysorbate 80-modified cerasomes by ultrasound-targeted microbubble destruction for improved Parkinson's disease therapy.

    Nisi Zhang;Fei Yan;Xiaolong Liang;Manxiang Wu;Manxiang Wu

  • Sorting of tumour cells in a microfluidic device by multi-stage surface acoustic waves

    Kaiyue Wang;Kaiyue Wang;Kaiyue Wang;Wei Zhou;Zhengrong Lin;Feiyan Cai

  • Single-Layer MoS2 Nanosheets with Amplified Photoacoustic Effect for Highly Sensitive Photoacoustic Imaging of Orthotopic Brain Tumors

    Jingqin Chen;Chengbo Liu;Dehong Hu;Feng Wang

  • Intravascular Optical-Resolution Photoacoustic Tomography with a 1.1 mm Diameter Catheter

    Xiaosong Bai;Xiaojing Gong;William Hau;Riqiang Lin

  • Sonoporation of Cells by a Parallel Stable Cavitation Microbubble Array.

    Long Meng;Xiufang Liu;Xiufang Liu;Yuchen Wang;Yuchen Wang;Wenjun Zhang;Wenjun Zhang

  • AUNet: attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms.

    Hui Sun;Cheng Li;Boqiang Liu;Zaiyi Liu

  • Biocompatible conjugated polymer nanoparticles for highly efficient photoacoustic imaging of orthotopic brain tumors in the second near-infrared window

    Bing Guo;Zonghai Sheng;Kenry;Dehong Hu

  • Improved Anatomical Specificity of Non-invasive Neuro-stimulation by High Frequency (5 MHz) Ultrasound

    Guo-Feng Li;Hui-Xia Zhao;Hui Zhou;Fei Yan

  • DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

    Shanshan Wang;Huitao Cheng;Leslie Ying;Taohui Xiao

Frequent Co-Authors

Dong Liang
Dong Liang Chinese Academy of Sciences
Jiangyu Li
Jiangyu Li Southern University of Science and Technology
Leslie Ying
Leslie Ying University at Buffalo, State University of New York
Hui Zhou
Hui Zhou Huazhong University of Science and Technology
Bin Liu
Bin Liu National University of Singapore
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Qifa Zhou
Qifa Zhou University of Southern California
Katherine W. Ferrara
Katherine W. Ferrara Stanford University
Derek Abbott
Derek Abbott University of Adelaide
Wenjun Zhang
Wenjun Zhang City University of Hong Kong

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