World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
6548
World Ranking
7663
National Ranking
70

Di Yuan 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 Di Yuan 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: 244 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Di Yuan 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 Di Yuan 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.

Overview

Di Yuan is a researcher affiliated with Uppsala University in Sweden, specializing in the field of Engineering with a particular focus on Mechanics of Materials, Ocean Engineering, Mechanical Engineering, Electrical and Electronic Engineering, and Environmental Engineering. Their work spans a range of subfields reflecting a multidisciplinary approach to engineering challenges.

Their research addresses several main topics, notably:

  • Hydraulic Fracturing and Reservoir Analysis
  • Rock Mechanics and Modeling
  • Enhanced Oil Recovery Techniques
  • Groundwater flow and contamination studies
  • Drilling and Well Engineering
  • Hydrocarbon exploration and reservoir analysis
  • Grouting, Rheology, and Soil Mechanics

Di Yuan has contributed research published in several significant venues, including multiple papers in:

  • Geofluids
  • Energies
  • Geotechnical and Geological Engineering
  • SPE Reservoir Simulation Conference
  • SPE Journal

Representative recent papers authored or co-authored by Di Yuan include:

  • "Rapid and sensitive quantification of capsaicinoids for edible oil adulteration by immunomagnetic solid-phase extraction coupled with time-resolved fluorescent immunochromatographic assay" (2022) published in Food Chemistry
  • "An Efficient Hybrid Model for 3D Complex Fractured Vuggy Reservoir Simulation" (2020) published in SPE Journal
  • "Study on Deformation Mechanism and Support Measures of Soft Surrounding Rock in Muzhailing Deep Tunnel" (2020) published in Advances in Civil Engineering
  • "Simulating two-phase flow and geomechanical deformation in fractured karst reservoirs based on a coupled hydro-mechanical model" (2020) published in International Journal of Rock Mechanics and Mining Sciences
  • "Adjacent Channel Interference Aware Joint Scheduling and Power Control for V2V Broadcast Communication" (2020) published in IEEE Transactions on Intelligent Transportation Systems

Frequent collaborators in their research include Yu-Shu Wu, Jindong Cao, Xiaojie Yang, WU Da-wei, and Enyi Yu. This indicates a collaborative presence in the research community, contributing to multiple co-authored works.

Best Publications

  • Power and Channel Allocation for Non-Orthogonal Multiple Access in 5G Systems: Tractability and Computation

    Lei;Di Yuan;Chin Keong Ho;Sumei Sun

  • A Lagrangian Heuristic Based Branch-and-Bound Approach for the Capacitated Network Design Problem

    Kaj Holmberg;Di Yuan

  • Resource optimization of spatial TDMA in ad hoc radio networks: a column generation approach

    P. Bjorklund;P. Varbrand;Di Yuan

  • An exact algorithm for the capacitated facility location problems with single sourcing

    Kaj Holmberg;Mikael Rönnqvist;Di Yuan

  • Analysis of Cell Load Coupling for LTE Network Planning and Optimization

    I. Siomina;Di Yuan

  • Cluster-Based Radio Resource Management for D2D-Supported Safety-Critical V2X Communications

    Wanlu Sun;Di Yuan;Erik G. Strom;Fredrik Brannstrom

  • Optimal Link Scheduling for Age Minimization in Wireless Systems

    Qing He;Di Yuan;Anthony Ephremides

  • Power and Channel Allocation for Non-orthogonal Multiple Access in 5G Systems: Tractability and Computation

    Lei Lei;Di Yuan;Chin Keong Ho;Sumei Sun

  • Automated optimization of service coverage and base station antenna configuration in UMTS networks

    I. Siomina;P. Varbrand;D. Yuan

  • A Column Generation Method for Spatial TDMA Scheduling in Ad Hoc Networks

    Patrik Björklund;Peter Värbrand;Di Yuan

  • Load balancing in heterogeneous LTE: Range optimization via cell offset and load-coupling characterization

    Iana Siomina;Di Yuan

  • A Multicommodity Network-Flow Problem with Side Constraints on Paths Solved by Column Generation

    Kaj Holmberg;Di Yuan

  • Joint Optimization of Power and Channel Allocation with Non-Orthogonal Multiple Access for 5G Cellular Systems

    Lei Lei;Di Yuan;Chin Keong Ho;Sumei Sun

  • Optimizing freshness of information: On minimum age link scheduling in wireless systems

    Qing He;Di Yuan;Anthony Ephremides

  • Systems and methods for determining a coupling characteristic in a radio communications network

    Iana Siomina;Di Yuan

  • On Power Minimization for Non-orthogonal Multiple Access (NOMA)

    Lei Lei;Di Yuan;Peter Varbrand

  • Resource Optimization With Flexible Numerology and Frame Structure for Heterogeneous Services

    Lei You;Qi Liao;Nikolaos Pappas;Di Yuan

  • Allocation of Heterogeneous Resources of an IoT Device to Flexible Services

    Vangelis Angelakis;Ioannis Avgouleas;Nikolaos Pappas;Emma Fitzgerald

  • A deep learning approach for optimizing content delivering in cache-enabled HetNet

    Lei Lei;Lei You;Gaoyang Dai;Thang Xuan Vu

  • Data Offloading in Load Coupled Networks: A Utility Maximization Framework

    Chin Keong Ho;Di Yuan;Sumei Sun

  • Power and Load Coupling in Cellular Networks for Energy Optimization

    Chin Keong Ho;Di Yuan;Lei Lei;Sumei Sun

  • Connectivity–splitting models for survivable network design

    Anantaram Balakrishnan;Thomas L. Magnanti;Prakash Mirchandani

Frequent Co-Authors

Nikolaos Pappas
Nikolaos Pappas Linköping University
Iana Siomina
Iana Siomina Ericsson (Sweden)
Sumei Sun
Sumei Sun Institute for Infocomm Research
Chin Keong Ho
Chin Keong Ho Senserbot
Symeon Chatzinotas
Symeon Chatzinotas University of Luxembourg
Bjorn Ottersten
Bjorn Ottersten University of Luxembourg
Pingzhi Fan
Pingzhi Fan Southwest Jiaotong University
Anthony Ephremides
Anthony Ephremides University of Maryland, College Park
Antonio Capone
Antonio Capone Polytechnic University of Milan
Fredrik Gunnarsson
Fredrik Gunnarsson Ericsson (Sweden)

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