World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
8614
World Ranking
7203
National Ranking
1967

Linkan Bian 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 Linkan Bian 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: 103 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Linkan Bian 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 Linkan Bian 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Linkan Bian is affiliated with Mississippi State University in the United States. Their research primarily falls within the broad field of Engineering, with a significant focus on Mechanical Engineering and related subfields.

The scientist's work spans several specialized areas including:

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Automotive Engineering
  • Mechanics of Materials
  • Radiology, Nuclear Medicine and Imaging

Linkan Bian's research topics cover a range of applied and theoretical subjects. Main topics include:

  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • Welding Techniques and Residual Stresses
  • Industrial Vision Systems and Defect Detection
  • Radiomics and Machine Learning in Medical Imaging
  • Head and Neck Cancer Studies
  • Thermography and Photoacoustic Techniques

This body of work is reflected in publications across various specialized journals. The frequent publication venues where Linkan Bian's work appears include:

  • Journal of Manufacturing Science and Engineering
  • Journal of Manufacturing Processes
  • IEEE Access
  • Manufacturing Letters
  • International Journal of Services and Operations Management

Examples of recent papers authored or co-authored by Linkan Bian are:

  • "Deep Learning-Based Data Fusion Method for In Situ Porosity Detection in Laser-Based Additive Manufacturing," 2020, Journal of Manufacturing Science and Engineering
  • "Drone routing and optimization for post-disaster inspection," 2021, Computers & Industrial Engineering
  • "Fatigue-life prediction of additively manufactured material: Effects of heat treatment and build orientation," 2020, Fatigue & Fracture of Engineering Materials & Structures
  • "Effects of crack orientation and heat treatment on fatigue-crack-growth behavior of AM 17-4 PH stainless steel," 2020, Engineering Fracture Mechanics
  • "DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool," 2021, IEEE Access

The scientist frequently collaborates with a network of co-authors, including:

  • Wenmeng Tian
  • Shenghan Guo
  • Christian Zamiela
  • Mahathir Mohammad Bappy
  • Haley Doude

Best Publications

  • An overview of Direct Laser Deposition for additive manufacturing; Part I: Transport phenomena, modeling and diagnostics

    Scott M. Thompson;Linkan Bian;Nima Shamsaei;Aref Yadollahi

  • An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control

    Nima Shamsaei;Aref Yadollahi;Linkan Bian;Scott M. Thompson

  • Effects of building orientation and heat treatment on fatigue behavior of selective laser melted 17-4 PH stainless steel

    Aref Yadollahi;Nima Shamsaei;Scott M. Thompson;Alaa Elwany

  • Porosity prediction: Supervised-learning of thermal history for direct laser deposition

    Mojtaba Khanzadeh;Sudipta Chowdhury;Mohammad Marufuzzaman;Mark A. Tschopp

  • Drones for disaster response and relief operations: A continuous approximation model

    Sudipta Chowdhury;Adindu Emelogu;Mohammad Marufuzzaman;Sarah G. Nurre

  • In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes

    Mojtaba Khanzadeh;Sudipta Chowdhury;Mark A. Tschopp;Haley R. Doude

  • Additive manufacturing of heat exchangers: A case study on a multi-layered Ti–6Al–4V oscillating heat pipe

    Scott M. Thompson;Zachary S. Aspin;Nima Shamsaei;Alaa Elwany

  • Deep Learning for Distortion Prediction in Laser-Based Additive Manufacturing using Big Data

    Jack Francis;Linkan Bian

  • Mechanical properties and microstructural characterization of selective laser melted 17-4 PH stainless steel

    Mohamad Mahmoudi;Alaa Elwany;Aref Yadollahi;Scott M. Thompson

  • Mechanical Properties and Microstructural Features of Direct Laser-Deposited Ti-6Al-4V

    Linkan Bian;Scott M. Thompson;Nima Shamsaei

  • Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults

    Aniruddha Gaikwad;Reza Yavari;Mohammad Montazeri;Kevin Cole

  • Additive manufacturing of biomedical implants: A feasibility assessment via supply-chain cost analysis

    Adindu Emelogu;Mohammad Marufuzzaman;Scott M. Thompson;Nima Shamsaei

  • Botnet detection using graph-based feature clustering

    Sudipta Chowdhury;Mojtaba Khanzadeh;Ravi Akula;Fangyan Zhang

  • Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions

    Linkan Bian;Nagi Gebraeel

  • Quantifying Geometric Accuracy With Unsupervised Machine Learning: Using Self-Organizing Map on Fused Filament Fabrication Additive Manufacturing Parts

    Mojtaba Khanzadeh;Prahalada Rao;Ruholla Jafari-Marandi;Brian K. Smith

  • Dual process monitoring of metal-based additive manufacturing using tensor decomposition of thermal image streams

    Mojtaba Khanzadeh;Wenmeng Tian;Aref Yadollahi;Haley R. Doude

  • An exploratory investigation of Additively Manufactured Product life cycle sustainability assessment

    Junfeng Ma;James D. Harstvedt;Daniel Dunaway;Linkan Bian

  • A two-stage chance-constrained stochastic programming model for a bio-fuel supply chain network

    Abdul Quddus;Sudipta Chowdhury;Mohammad Marufuzzaman;Fei Yu

  • From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing

    Ruholla Jafari-Marandi;Mojtaba Khanzadeh;Wenmeng Tian;Brian Smith

  • Deep Learning-Based Data Fusion Method for In-Situ Porosity Detection in Laser-Based Additive Manufacturing

    Qi Tian;Qi Tian;Shenghan Guo;Erika Melder;Linkan Bian

  • Degradation modeling for real-time estimation of residual lifetimes in dynamic environments

    Linkan Bian;Nagi Gebraeel;Jeffrey P. Kharoufeh

Frequent Co-Authors

Nima Shamsaei
Nima Shamsaei Auburn University
Mark A. Tschopp
Mark A. Tschopp United States Army Research Laboratory
James C. Newman
James C. Newman Mississippi State University
Shuai Shao
Shuai Shao Auburn University
Jianjun Shi
Jianjun Shi Georgia Institute of Technology
Xiaopeng Li
Xiaopeng Li University of Wisconsin–Madison
Yaguo Lei
Yaguo Lei Xi'an Jiaotong University
J. Edward Swan
J. Edward Swan Mississippi State University

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