World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
74
Citations
22186
World Ranking
711
National Ranking
113

Chao Lu publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Chao Lu sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 984 publications — 98th percentile

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

The last bar groups every scientist with 1,065 publications or more.

Chao Lu D-index placement in Electronics and Electrical Engineering in 2026

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

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Chao Lu is affiliated with Hong Kong Polytechnic University in China, contributing extensively to the fields of biochemistry, genetics, and molecular biology with a notable focus on medicine.

Their research spans multiple subfields including molecular biology, cancer research, pulmonary and respiratory medicine, oncology, and genetics. This multidisciplinary approach is reflected in the wide range of topics they have explored, particularly epigenetics and DNA methylation, genomics and chromatin dynamics, RNA modifications and cancer, cancer-related gene regulation, cancer-related molecular mechanisms research, ubiquitin and proteasome pathways, and protein degradation and inhibitors.

Chao Lu has published in several prominent journals, with frequent appearances in venues such as bioRxiv (Cold Spring Harbor Laboratory), Cancer Research, Molecular Cell, Cell, and Proceedings of the National Academy of Sciences. These venues illustrate the scientist's active engagement with both preprint and peer-reviewed platforms in molecular and cancer biology research.

Significant recent publications include:

  • "Functional interrogation of DNA damage response variants with base editing screens," 2021, Cell
  • "The interplay between DNA and histone methylation: molecular mechanisms and disease implications," 2021, EMBO Reports
  • "Dissecting the treatment-naive ecosystem of human melanoma brain metastasis," 2022, Cell
  • "Two competing mechanisms of DNMT3A recruitment regulate the dynamics of de novo DNA methylation at PRC1-targeted CpG islands," 2021, Nature Genetics
  • "Pparg signaling controls bladder cancer subtype and immune exclusion," 2021, Nature Communications

The scholar collaborates frequently with colleagues such as Xiao Chen, Yinglu Li, Kristjan H. Gretarsson, Jacek Majewski, and Xinjing Xu, indicating a network of partnerships that spans diverse molecular and cancer research topics.

Best Publications

  • Digital Signal Processing for Short-Reach Optical Communications: A Review of Current Technologies and Future Trends

    Kangping Zhong;Xian Zhou;Jiahao Huo;Changyuan Yu

  • Pressure sensor realized with polarization-maintaining photonic crystal fiber-based Sagnac interferometer.

    H. Y. Fu;Hwa-yaw Tam;Liyang Shao;Xinyong Dong

  • Experimental study of PAM-4, CAP-16, and DMT for 100 Gb/s Short Reach Optical Transmission Systems

    Kangping Zhong;Xian Zhou;Tao Gui;Li Tao

  • Mode-division multiplexed transmission with inline few-mode fiber amplifier.

    Neng Bai;Ezra Ip;Yue-Kai Huang;Eduardo Mateo

  • Optical Performance Monitoring: A Review of Current and Future Technologies

    Zhenhua Dong;Faisal Nadeem Khan;Qi Sui;Kangping Zhong

  • Stable and uniform dual-wavelength erbium-doped fiber laser based on fiber Bragg gratings and photonic crystal fiber.

    Xueming Liu;Xiufeng Yang;Fuyun Lu;Junhong Ng

  • An Optical Communication's Perspective on Machine Learning and Its Applications

    Faisal Nadeem Khan;Qirui Fan;Chao Lu;Alan Pak Tao Lau

  • Measurements of refractive index sensitivity using long-period grating refractometer

    Joo Hin Chong;Ping Shum;H Haryono;A Yohana

  • Temperature-insensitive Interferometer using a highly birefringent photonic Crystal fiber loop mirror

    Chun-Liu Zhao;Xiufeng Yang;Chao Lu;Wei Jin

  • Two-Stage Energy Management for Office Buildings With Workplace EV Charging and Renewable Energy

    Di Wu;Haibo Zeng;Chao Lu;Benoit Boulet

  • Joint OSNR monitoring and modulation format identification in digital coherent receivers using deep neural networks

    Faisal Nadeem Khan;Kangping Zhong;Xian Zhou;Waled Hussein Al-Arashi

  • Optofluidic waveguide as a transformation optics device for lightwave bending and manipulation

    Y. Yang;A. Q. Liu;L. K. Chin;Xuming Zhang

  • Switchable and tunable multiwavelength erbium-doped fiber laser with fiber Bragg gratings and photonic crystal fiber

    Xueming Liu;Xiaoqun Zhou;Xiufeng Tang;Junhong Ng

  • Hierarchical Deep Learning Machine for Power System Online Transient Stability Prediction

    Lipeng Zhu;David J. Hill;Chao Lu

  • Signal processing using artificial neural network for BOTDA sensor system.

    Abul Kalam Azad;Liang Wang;Nan Guo;Hwa Yaw Tam

  • Imbalance Learning Machine-Based Power System Short-Term Voltage Stability Assessment

    Lipeng Zhu;Chao Lu;Zhao Yang Dong;Chao Hong

  • A simplified model and optimal design of a multiwavelength backward-pumped fiber Raman amplifier

    Xiang Zhou;Chao Lu;Ping Shum;T.H. Cheng

  • All-optical fiber anemometer based on laser heated fiber Bragg gratings

    Shaorui Gao;A Ping Zhang;Hwa-Yaw Tam;L H Cho

  • Modulation format identification in heterogeneous fiber-optic networks using artificial neural networks.

    Faisal Nadeem Khan;Yudi Zhou;Alan Pak Tao Lau;Chao Lu

  • Nonlinear Frequency Division Multiplexed Transmissions Based on NFT

    Zhenhua Dong;Siddarth Hari;Tao Gui;Kangping Zhong

  • Modulation Format Identification in Coherent Receivers Using Deep Machine Learning

    Faisal Nadeem Khan;Kangping Zhong;Waled Hussein Al-Arashi;Changyuan Yu

  • Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning.

    Qirui Fan;Gai Zhou;Tao Gui;Chao Lu

  • 88×3×112-Gb/s WDM transmission over 50 km of three-mode fiber with inline few-mode fiber amplifier

    Ezra Ip;Neng Bai;Yue-Kai Huang;Eduardo Mateo

Frequent Co-Authors

Alan Pak Tao Lau
Alan Pak Tao Lau Hong Kong Polytechnic University
Ping-kong Alexander Wai
Ping-kong Alexander Wai Hong Kong Polytechnic University
Hwa-Yaw Tam
Hwa-Yaw Tam Hong Kong Polytechnic University
Changyuan Yu
Changyuan Yu Hong Kong Polytechnic University
Ping Shum
Ping Shum Southern University of Science and Technology
Ai Qun Liu
Ai Qun Liu Hong Kong Polytechnic University
Xuming Zhang
Xuming Zhang Hong Kong Polytechnic University
Tao Gui
Tao Gui Fudan University
Zabih Ghassemlooy
Zabih Ghassemlooy Northumbria University
Xinyong Dong
Xinyong Dong Guangdong University of Technology

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Related Online Degrees & Career Pathways

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