World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
4109
World Ranking
9060
National Ranking
1515

Shanben Chen 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 Shanben Chen 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: 137 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Shanben Chen 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 Shanben Chen 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: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Shanben Chen is affiliated with Shanghai Jiao Tong University in China and specializes in engineering with a particular focus on mechanical and industrial manufacturing disciplines. Their research output spans multiple subfields including Mechanical Engineering, Mechanics of Materials, Industrial and Manufacturing Engineering, Aerospace Engineering, and Geology.

The main research topics addressed by Shanben Chen include welding techniques and residual stresses, industrial vision systems and defect detection, additive manufacturing materials and processes, robotics and sensor-based localization, thermography and photoacoustic techniques, 3D surveying and cultural heritage, and non-destructive testing techniques.

Frequent co-authors collaborating with Shanben Chen are:

  • Runquan Xiao
  • Yanling Xu
  • Zhen Hou
  • Fengjing Xu
  • Huajun Zhang

They publish primarily in the following venues with multiple contributions:

  • Journal of Manufacturing Processes
  • Robotics and Computer-Integrated Manufacturing
  • IEEE Transactions on Industrial Electronics
  • The International Journal of Advanced Manufacturing Technology
  • IEEE Transactions on Industrial Informatics

Selected recent papers by Shanben Chen demonstrate a focus on welding processes, robotic manufacturing, and related sensing technologies:

  • Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling, 2022, Journal of Manufacturing Processes
  • A novel visual guidance framework for robotic welding based on binocular cooperation, 2022, Robotics and Computer-Integrated Manufacturing
  • A teaching-free welding method based on laser visual sensing system in robotic GMAW, 2020, The International Journal of Advanced Manufacturing Technology
  • Autonomous weld seam tracking under strong noise based on feature-supervised tracker-driven generative adversarial network, 2021, Journal of Manufacturing Processes
  • A feature extraction algorithm based on improved Snake model for multi-pass seam tracking in robotic arc welding, 2021, Journal of Manufacturing Processes

Best Publications

  • The investigation of typical welding defects for 5456 aluminum alloy friction stir welds

    Hua-Bin Chen;Keng Yan;Tao Lin;Shan-Ben Chen

  • Real-time seam tracking control technology during welding robot GTAW process based on passive vision sensor

    Unknown

  • Wire and arc additive manufacturing of metal components: a review of recent research developments

    Jienan Liu;Yanling Xu;Yu Ge;Zhen Hou

  • Computer vision technology for seam tracking in robotic GTAW and GMAW

    Unknown

  • An adaptive feature extraction algorithm for multiple typical seam tracking based on vision sensor in robotic arc welding

    Runquan Xiao;Yanling Xu;Zhen Hou;Chao Chen

  • Real-time seam penetration identification in arc welding based on fusion of sound, voltage and spectrum signals

    Unknown

  • EMD-based pulsed TIG welding process porosity defect detection and defect diagnosis using GA-SVM

    Yiming Huang;Di Wu;Zhifen Zhang;Huabin Chen

  • Weld seam profile detection and feature point extraction for multi-pass route planning based on visual attention model

    Yinshui He;Yanling Xu;Yuxi Chen;Huabin Chen

  • Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling

    Unknown

  • Automated control of welding penetration based on audio sensing technology

    Na Lv;Yanling Xu;Sichen Li;Xinwen Yu

  • Visual sensing and penetration control in aluminum alloy pulsed GTA welding

    Unknown

  • Audible Sound-Based Intelligent Evaluation for Aluminum Alloy in Robotic Pulsed GTAW: Mechanism, Feature Selection, and Defect Detection

    Unknown

  • Real-time control of welding penetration during robotic GTAW dynamical process by audio sensing of arc length

    Na Lv;Jiyong Zhong;Huabin Chen;Tao Lin

  • Welding seam tracking in robotic gas metal arc welding

    Unknown

  • Multisensor-based real-time quality monitoring by means of feature extraction, selection and modeling for Al alloy in arc welding

    Unknown

  • Real-Time Seam Tracking Technology of Welding Robot with Visual Sensing

    Hongyuan Shen;Tao Lin;Shanben Chen;Laiping Li

  • Prediction of pulsed GTAW penetration status based on BP neural network and D-S evidence theory information fusion.

    Bo Chen;Jifeng Wang;Shanben Chen

  • Strong noise image processing for vision-based seam tracking in robotic gas metal arc welding

    Rongqiang Du;Yanling Xu;Zhen Hou;Jun Shu

  • Robot welding seam tracking method based on passive vision for thin plate closed-gap butt welding

    Hongbo Ma;Shanchun Wei;Zhongxi Sheng;Tao Lin

  • Online welding quality monitoring based on feature extraction of arc voltage signal

    Unknown

  • Acquisition of Weld Seam Dimensional Position Information for Arc Welding Robot Based on Vision Computing

    Shan-Ben Chen;X. Z. Chen;T. Qiu;J. Q. Li

  • The acquisition and processing of real-time information for height tracking of robotic GTAW process by arc sensor

    Unknown

  • Real-time defect detection in pulsed GTAW of Al alloys through on-line spectroscopy

    Unknown

  • Analysis of arc sound characteristics for gas tungsten argon welding

    J.F. Wang;B. Chen;H.B. Chen;S.B. Chen

  • Online Monitoring and Model-Free Adaptive Control of Weld Penetration in VPPAW Based on Extreme Learning Machine

    Di Wu;Huabin Chen;Yiming Huang;Shanben Chen

  • Research on the Real-time Tracking Information of Three-dimension Welding Seam in Robotic GTAW Process Based on Composite Sensor Technology

    Unknown

  • Autonomous Detection of Weld Seam Profiles via a Model of Saliency-Based Visual Attention for Robotic Arc Welding

    Yinshui He;Yuxi Chen;Yanling Xu;Yiming Huang

  • The autonomous detection and guiding of start welding position for arc welding robot

    X. Z. Chen;Shan-Ben Chen

  • Closed-Loop Control of Robotic Arc Welding System with Full-penetration Monitoring

    Huabin Chen;Fenglin Lv;Tao Lin;Shanben Chen

  • VPPAW penetration monitoring based on fusion of visual and acoustic signals using t-SNE and DBN model

    Di Wu;Yiming Huang;Huabin Chen;Yinshui He

  • Monitoring of weld joint penetration during variable polarity plasma arc welding based on the keyhole characteristics and PSO-ANFIS

    Di Wu;Huabin Chen;Yiming Huang;Yinshui He

  • Effect of weave frequency and amplitude on temperature field in weaving welding process

    Yuxi Chen;Yinshui He;Huabin Chen;Huajun Zhang

Frequent Co-Authors

Jicai Feng
Jicai Feng Shanghai University
Hong Zhang
Hong Zhang University of Alberta
XiaoQi Chen
XiaoQi Chen South China University of Technology
Zhili Feng
Zhili Feng Oak Ridge National Laboratory

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