World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
23097
World Ranking
8536
National Ranking
2350

Diane M. Strong 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 Diane M. Strong 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Diane M. Strong 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 Diane M. Strong 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: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Diane M. Strong is affiliated with Worcester Polytechnic Institute in the United States. Their research primarily spans the fields of Medicine, Health Professions, and Computer Science with a notable focus on Endocrinology, Diabetes and Metabolism, Occupational Therapy, Computer Vision and Pattern Recognition, Rehabilitation, and Pharmacology.

The main topics covered in their work include:

  • Diabetic Foot Ulcer Assessment and Management
  • Pressure Ulcer Prevention and Management
  • Wound Healing and Treatments
  • Musculoskeletal pain and rehabilitation
  • Image Enhancement Techniques
  • Pain Mechanisms and Treatments
  • Artificial Intelligence in Healthcare

Strong has contributed papers to several publication venues. Frequent venues of publication are:

  • IEEE Open Journal of Engineering in Medicine and Biology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • IEEE Access

Recent papers authored or co-authored by Strong include:

  • "Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches" (2020, IEEE Access)
  • "Machine learning models for synthesizing actionable care decisions on lower extremity wounds" (2020, Smart Health)
  • "Chronic Wound Image Augmentation and Assessment Using Semi-Supervised Progressive Multi-Granularity EfficientNet" (2023, IEEE Open Journal of Engineering in Medicine and Biology)
  • "Comprehensive Assessment of Fine-Grained Wound Images Using a Patch-Based CNN With Context-Preserving Attention" (2021, IEEE Open Journal of Engineering in Medicine and Biology)
  • "Search and Evaluation of Coevolving Problem and Solution Spaces in a Complex Healthcare Design Science Research Project" (2020, IEEE Transactions on Engineering Management)

Strong frequently collaborates with the following co-authors:

  • Emmanuel Agu
  • Bengisu Tulu
  • P.C. Pedersen
  • Clifford Lindsay
  • Soussan Djamasbi

Best Publications

  • Extending the technology acceptance model with task–technology fit constructs

    Mark T Dishaw;Diane M Strong

  • AIMQ: a methodology for information quality assessment

    Yang W. Lee;Diane M. Strong;Beverly K. Kahn;Richard Y. Wang

  • Data quality in context

    Diane M. Strong;Yang W. Lee;Richard Y. Wang

  • Information quality benchmarks: product and service performance

    Beverly K. Kahn;Diane M. Strong;Richard Y. Wang

  • Technological Embeddedness and Organizational Change

    Olga Volkoff;Diane M. Strong;Michael B. Elmes

  • Understanding organization-enterprise system fit: a path to theorizing the information technology artifact

    Diane M. Strong;Olga Volkoff

  • Manage Your Information as a Product

    Richard Y. Wang;Yang W. Lee;Leo L. Pipino;Diane M. Strong

  • A framework for evaluating ERP implementation choices

    Wenhong Luo;D.M. Strong

  • 10 potholes in the road to information quality

    D.M. Strong;Y.W. Lee;R.Y. Wang

  • Supporting software maintenance with software engineering tools: a computed task-technology fit analysis

    Mark T. Dishaw;Diane M. Strong

  • EXTENDING THE TASK-TECHNOLOGY FIT MODEL WITH SELF-EFFICACY CONSTRUCTS

    Mark T. Dishaw;Diane M. Strong;D. Brent Bandy

  • Panoptic empowerment and reflective conformity in enterprise systems-enabled organizations

    Michael B. Elmes;Diane M. Strong;Olga Volkoff

  • Exceptions and exception handling in computerized information processes

    Diane M. Strong;Steven M. Miller

  • Understanding enterprise systems-enabled integration

    Olga Volkoff;Diane M. Strong;Michael B. Elmes

  • Affect and acceptance: Examining the effects of positive mood on the technology acceptance model

    Soussan Djamasbi;Diane M. Strong;Mark Dishaw

  • Human-computer interaction research in the MIS discipline

    Ping Zhang;Izak Benbasat;Jane Carey;Fred Davis

  • Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification

    Lei Wang;Peder C. Pedersen;Emmanuel Agu;Diane M. Strong

  • Smartphone-Based Wound Assessment System for Patients With Diabetes

    Lei Wang;Peder C. Pedersen;Diane M. Strong;Bengisu Tulu

  • Enterprise systems, knowledge transfer and power users

    Olga Volkoff;Michael B. Elmes;Diane M. Strong

  • The smartphone as a medical device: Assessing enablers, benefits and challenges

    Emmanuel Agu;Peder Pedersen;Diane Strong;Bengisu Tulu

  • AMCIS 2002 Panels and Workshops I: Human-Computer Interaction Research in the MIS Discipline

    Ping Zhang;Izak Benbasat;Jane Carey;Fred Davis

Frequent Co-Authors

Dennis F. Galletta
Dennis F. Galletta University of Pittsburgh
Ping Zhang
Ping Zhang Syracuse University
Izak Benbasat
Izak Benbasat University of British Columbia
Fred D. Davis
Fred D. Davis Texas Tech University
Wendy L. Currie
Wendy L. Currie Audencia Business School
Thompson S. H. Teo
Thompson S. H. Teo National University of Singapore

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