World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
62
Citations
15849
World Ranking
1878
National Ranking
374

Kun Xu 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 Kun Xu 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: 866 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.

Kun Xu 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 Kun Xu 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: 62 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Kun Xu is affiliated with the Beijing University of Posts and Telecommunications in China. The scientist's research predominantly lies within the broad discipline of Computer Science, with significant contributions totaling 130 publications.

Their subfields of study emphasize Artificial Intelligence and Computer Vision and Pattern Recognition, with 52 and 51 publications respectively. Additional areas of work include Astronomy and Astrophysics, Aerospace Engineering, and Computer Graphics and Computer-Aided Design.

Kun Xu's research topics cover multiple advanced domains, notably:

  • Computer Graphics and Visualization Techniques
  • Advanced Vision and Imaging
  • Topic Modeling
  • Planetary Science and Exploration
  • Advanced Graph Neural Networks
  • Natural Language Processing Techniques
  • Parkinson's Disease Mechanisms and Treatments

The scientist has authored several recent papers across respected journals and platforms, which include:

  • "The role of genetics in Parkinson's disease: a large cohort study in Chinese mainland population" (2020), published in Brain
  • "Accurate Dynamic SLAM Using CRF-Based Long-Term Consistency" (2020), published in IEEE Transactions on Visualization and Computer Graphics
  • "Boosting Adversarial Training with Hypersphere Embedding" (2020), published on arXiv (Cornell University)
  • "Review on planetary regolith-sampling technology" (2021), published in Progress in Aerospace Sciences
  • "A Survey of Adversarial Learning on Graphs" (2020), published on arXiv (Cornell University)

Frequent co-authors who have collaborated with Kun Xu include Tao Zhang, Xilun Ding, Yinliang Zhang, Qian Xu, and Qiying Sun.

Notable publication venues where Kun Xu's work frequently appears are:

  • arXiv (Cornell University) with 26 publications
  • ACM Transactions on Graphics with 10 publications
  • IEEE Transactions on Visualization and Computer Graphics with 4 publications
  • Acta Astronautica with 3 publications
  • Research Square with 3 publications

In addition to journal and conference publications, Kun Xu has contributed to book publications under Springer Science+Business Media, with three editions related to the theme of "Image and Graphics" published in 2021.

Best Publications

  • Machine learning in materials science

    Jing Wei;Xuan Chu;Xiang‐Yu Sun;Kun Xu

  • Significantly enhanced energy storage performance promoted by ultimate sized ferroelectric BaTiO3 fillers in nanocomposite films

    Yanan Hao;Xiaohui Wang;Ke Bi;Jiameng Zhang

  • Question Answering on Freebase via Relation Extraction and Textual Evidence

    Kun Xu;Siva Reddy;Yansong Feng;Songfang Huang

  • Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

    Kun Xu;Yansong Feng;Songfang Huang;Dongyan Zhao

  • Machine learning-driven new material discovery

    Jiazhen Cai;Xuan Chu;Kun Xu;Hongbo Li

  • Development of a low-cost paper-based ELISA method for rapid Escherichia coli O157:H7 detection.

    Bo Pang;Chao Zhao;Li Li;Xiuling Song

  • Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

    Kun Xu;Liwei Wang;Mo Yu;Yansong Feng

  • SnO 2 -in-Polymer Matrix for High-Efficiency Perovskite Solar Cells with Improved Reproducibility and Stability.

    Jing Wei;Fengwan Guo;Xi Wang;Kun Xu

  • Broadband Photonic RF Channelization Based on Coherent Optical Frequency Combs and I/Q Demodulators

    Xiaojun Xie;Yitang Dai;Kun Xu;Jian Niu

  • Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks

    Kun Xu;Lingfei Wu;Zhiguo Wang;Yansong Feng

  • Multiwavelength fiber laser with fine adjustment, based on nonlinear polarization rotation and birefringence fiber filter.

    Zuxing Zhang;Li Zhan;Kun Xu;Jian Wu

  • Broadband Photonic Radio-Frequency Channelization Based on a 39-GHz Optical Frequency Comb

    Xiaojun Xie;Yitang Dai;Yu Ji;Kun Xu

  • Satellite Payloads Pay Off

    Shilong Pan;Dan Zhu;Shifeng Liu;Kun Xu

  • Identification of circular RNAs as a promising new class of diagnostic biomarkers for human breast cancer.

    Lingshuang Lü;Jian Sun;Peiyi Shi;Weimin Kong

  • Efficient spectrum prediction and inverse design for plasmonic waveguide systems based on artificial neural networks

    Tian Zhang;Jia Wang;Qi Liu;Jinzhan Zhou

  • Fully Electrified Regenerative Braking Control for Deep Energy Recovery and Maintaining Safety of Electric Vehicles

    Unknown

  • Microwave photonics: radio-over-fiber links, systems, and applications [Invited]

    Kun Xu;Ruixin Wang;Yitang Dai;Feifei Yin

  • Dual Michelson interferometers for distributed vibration detection.

    Xiaobin Hong;Jian Wu;Chao Zuo;Fangsen Liu

  • In situ hydrogel constructed by starch-based nanoparticles via a Schiff base reaction

    Yangling Li;Chang Liu;Ying Tan;Kun Xu

  • Novel 3D grid porous Li4Ti5O12 thick electrodes fabricated by 3D printing for high performance lithium-ion batteries

    Unknown

  • DurIAN: Duration Informed Attention Network For Multimodal Synthesis.

    Chengzhu Yu;Heng Lu;Na Hu;Meng Yu

  • Answering Natural Language Questions via Phrasal Semantic Parsing

    Kun Xu;Sheng Zhang;Yansong Feng;Dongyan Zhao

  • Internet visual media processing: a survey with graphics and vision applications

    Shi-Min Hu;Tao Chen;Kun Xu;Ming-Ming Cheng

  • Word Mover’s Embedding: From Word2Vec to Document Embedding

    Lingfei Wu;Ian En-Hsu Yen;Kun Xu;Fangli Xu

Frequent Co-Authors

Yitang Dai
Yitang Dai Beijing University of Posts and Telecommunications
Jian Wu
Jian Wu Fudan University
Yuefeng Ji
Yuefeng Ji Beijing University of Posts and Telecommunications
Songnian Fu
Songnian Fu Huazhong University of Science and Technology
Yansong Feng
Yansong Feng Peking University
Ping Shum
Ping Shum Southern University of Science and Technology
Dongyan Zhao
Dongyan Zhao Peking University
Ming Tang
Ming Tang Huazhong University of Science and Technology
Xingyuan Xu
Xingyuan Xu Beijing University of Posts and Telecommunications
Dong Yu
Dong Yu Tencent (China)

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