World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
5967
World Ranking
7711
National Ranking
2122

Chong Yaw Wee 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 Chong Yaw Wee 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: 85 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Chong Yaw Wee 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 Chong Yaw Wee 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Best Publications

  • State-space model with deep learning for functional dynamics estimation in resting-state fMRI

    Heung Il Suk;Chong Yaw Wee;Seong Whan Lee;Dinggang Shen

  • Identification of MCI individuals using structural and functional connectivity networks

    Chong Yaw Wee;Pew Thian Yap;Daoqiang Zhang;Kevin Denny

  • Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns.

    Chong Yaw Wee;Pew Thian Yap;Dinggang Shen

  • Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification

    Feng Liu;Chong Yaw Wee;Huafu Chen;Dinggang Shen;Dinggang Shen

  • A brief review on multi-task learning

    Kim-Han Thung;Chong-Yaw Wee

  • Enriched white matter connectivity networks for accurate identification of MCI patients.

    Chong Yaw Wee;Pew Thian Yap;Wenbin Li;Kevin Denny

  • High-order resting-state functional connectivity network for MCI classification

    Xiaobo Chen;Han Zhang;Yue Gao;Chong Yaw Wee

  • On the computational aspects of Zernike moments

    Chong-Yaw Wee;Raveendran Paramesran

  • Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification

    Chong Yaw Wee;Pew Thian Yap;Daoqiang Zhang;Daoqiang Zhang;Lihong Wang

  • Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification.

    Chong Yaw Wee;Sen Yang;Pew Thian Yap;Dinggang Shen;Dinggang Shen

  • DICCCOL: Dense Individualized and Common Connectivity-Based Cortical Landmarks

    Dajiang Zhu;Kaiming Li;Kaiming Li;Lei Guo;Xi Jiang

  • Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.

    Brent C. Munsell;Chong Yaw Wee;Simon S. Keller;Bernd Weber

  • Integration of Network Topological and Connectivity Properties for Neuroimaging Classification

    Biao Jie;Daoqiang Zhang;Wei Gao;Qian Wang

  • Hyper-connectivity of functional networks for brain disease diagnosis

    Biao Jie;Biao Jie;Chong Yaw Wee;Dinggang Shen;Dinggang Shen;Daoqiang Zhang

  • Resting-state multi-spectrum functional connectivity networks for identification of MCI patients.

    Chong Yaw Wee;Pew Thian Yap;Kevin Denny;Jeffrey N. Browndyke

  • Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations

    Chong-Yaw Wee;Chaoqiang Liu;Annie Lee;Joann S. Poh

  • Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification

    Biao Jie;Biao Jie;Daoqiang Zhang;Daoqiang Zhang;Chong Yaw Wee;Dinggang Shen;Dinggang Shen

  • Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data

    Ehsan Adeli;Feng Shi;Le An;Chong Yaw Wee

  • Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion.

    Kim Han Thung;Chong Yaw Wee;Pew Thian Yap;Dinggang Shen

  • Measure of image sharpness using eigenvalues

    Chong-Yaw Wee;Raveendran Paramesran

  • Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study

    Chong Yaw Wee;Zhimin Zhao;Pew Thian Yap;Guorong Wu

  • Identification of infants at high-risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks.

    Yan Jin;Chong Yaw Wee;Feng Shi;Kim Han Thung

Frequent Co-Authors

Dinggang Shen
Dinggang Shen ShanghaiTech University
Pew Thian Yap
Pew Thian Yap University of North Carolina at Chapel Hill
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Feng Shi
Feng Shi United Imaging Intelligence (China)
Lihong Wang
Lihong Wang University of Connecticut Health Center
Anqi Qiu
Anqi Qiu Hong Kong Polytechnic University
Heung-Il Suk
Heung-Il Suk Korea University
Michael J. Meaney
Michael J. Meaney McGill University
Feng Liu
Feng Liu Tianjin Medical University General Hospital
Guy G. Potter
Guy G. Potter Duke University

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