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Rising Stars
2025

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Rising Stars

D-Index
38
Citations
7060
World Ranking
718
National Ranking
248

Engineering and Technology

D-Index
39
Citations
7426
World Ranking
7615
National Ranking
1368

Shijie Feng 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 Shijie Feng 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: 144 publications — 24th percentile

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

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

Shijie Feng 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 Shijie Feng 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.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Shijie Feng is affiliated with Nanjing University of Science and Technology in China. Their research broadly covers the fields of Engineering and Computer Science, with significant work in the subfields of Computer Vision and Pattern Recognition, Media Technology, Mechanical Engineering, Instrumentation, and Biomedical Engineering.

The primary focus of their research lies in optical measurement and interference techniques, supported by contributions to image processing techniques and applications, advanced measurement and metrology techniques, advanced vision and imaging, advanced optical sensing technologies, 3D surveying and cultural heritage, as well as industrial vision systems and defect detection.

Shijie Feng has published extensively in notable venues, including:

  • Optics and Lasers in Engineering
  • Optics Express
  • Default Digital Object Group
  • OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)
  • SSRN Electronic Journal

Frequent co-authors in their collaborative research efforts include Chao Zuo, Qian Chen, Jiaming Qian, Wei Yin, and Yixuan Li.

Among recent publications, notable papers include:

  • "Calibration of fringe projection profilometry: A comparative review," 2021, Optics and Lasers in Engineering
  • "Generalized framework for non-sinusoidal fringe analysis using deep learning," 2021, Photonics Research
  • "Single-shot absolute 3D shape measurement with deep-learning-based color fringe projection profilometry," 2020, Optics Letters
  • "Microscopic fringe projection profilometry: A review," 2020, Optics and Lasers in Engineering
  • "Deep learning in optical metrology: a review," 2022, Light Science & Applications

These publications address advanced techniques in fringe projection profilometry, deep learning applications to optical metrology, and methods for 3D shape measurement.

Best Publications

  • Phase shifting algorithms for fringe projection profilometry: A review

    Chao Zuo;Shijie Feng;Lei Huang;Tianyang Tao

  • High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection

    Chao Zuo;Chao Zuo;Qian Chen;Qian Chen;Guohua Gu;Shijie Feng

  • Calibration of fringe projection profilometry: A comparative review

    Shijie Feng;Chao Zuo;Liang Zhang;Tianyang Tao

  • Micro Fourier Transform Profilometry ($μ$FTP): 3D shape measurement at 10,000 frames per second

    Chao Zuo;Tianyang Tao;Shijie Feng;Lei Huang

  • High-speed three-dimensional profilometry for multiple objects with complex shapes.

    Chao Zuo;Qian Chen;Guohua Gu;Shijie Feng

  • Microscopic fringe projection profilometry: A review

    Yan Hu;Qian Chen;Shijie Feng;Chao Zuo

  • Single-shot absolute 3D shape measurement with deep-learning-based color fringe projection profilometry

    Jia Ming Qian;Shijie Feng;Yixuan Li;Tianyang Tao

  • General solution for high dynamic range three-dimensional shape measurement using the fringe projection technique

    Shijie Feng;Shijie Feng;Yuzhen Zhang;Yuzhen Zhang;Qian Chen;Qian Chen;Chao Zuo

  • High dynamic range 3D measurements with fringe projection profilometry: a review

    Shijie Feng;Liang Zhang;Chao Zuo;Tianyang Tao

  • Robust dynamic 3-D measurements with motion-compensated phase-shifting profilometry

    Shijie Feng;Chao Zuo;Tianyang Tao;Yan Hu

  • Real-time 3-D shape measurement with composite phase-shifting fringes and multi-view system

    Tianyang Tao;Qian Chen;Jian Da;Shijie Feng

  • Optimized pulse width modulation pattern strategy for three-dimensional profilometry with projector defocusing.

    Chao Zuo;Qian Chen;Shijie Feng;Fangxiaoyu Feng

  • Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement

    Jiaming Qian;Shijie Feng;Tianyang Tao;Yan Hu

  • Fringe pattern analysis using deep learning

    Shijie Feng;Qian Chen;Guohua Gu;Tianyang Tao

  • Temporal phase unwrapping using deep learning

    Wei Yin;Qian Chen;Shijie Feng;Tianyang Tao

  • High-speed 3D shape measurement using the optimized composite fringe patterns and stereo-assisted structured light system.

    Wei Yin;Shijie Feng;Tianyang Tao;Lei Huang

  • Composite fringe projection deep learning profilometry for single-shot absolute 3D shape measurement.

    Unknown

  • Generalized framework for non-sinusoidal fringe analysis using deep learning

    Shijie Feng;Chao Zuo;Liang Zhang;Wei Yin

  • High-speed high dynamic range 3D shape measurement based on deep learning

    Liang Zhang;Qian Chen;Chao Zuo;Shijie Feng

  • Robust and efficient multi-frequency temporal phase unwrapping: optimal fringe frequency and pattern sequence selection.

    Minliang Zhang;Qian Chen;Tianyang Tao;Shijie Feng

  • Micro deep learning profilometry for high-speed 3D surface imaging

    Shijie Feng;Chao Zuo;Wei Yin;Guohua Gu

  • A new microscopic telecentric stereo vision system - Calibration, rectification, and three-dimensional reconstruction

    Yan Hu;Qian Chen;Shijie Feng;Tianyang Tao

Frequent Co-Authors

Chao Zuo
Chao Zuo Nanjing University of Science and Technology
Qian Chen
Qian Chen Nanjing University of Science and Technology
Lei Huang
Lei Huang Sichuan University
Anand Asundi
Anand Asundi d'Optron Pte
Qian Kemao
Qian Kemao Nanyang Technological University
Song Zhang
Song Zhang Purdue University West Lafayette

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