World's Best Scientists 2026 revealed!
Structural Control & Health Monitoring
H-index 36

Structural Control & Health Monitoring

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 172 102 205 34

Additional Metrics

Number of Best Scientists*: 178
Documents by Best Scientists*: 285
Top 100 Ranked Scientists*: 1
SCIMAGO H-index:
SCIMAGO SJR:
Impact Factor: 5.1

Overview

Top Research Topics at Structural Control & Health Monitoring?

The main research concerns discussed in the journal are Structural engineering, Control theory, Structural health monitoring, Damper and Vibration. Structural Control & Health Monitoring facilitates discussions on Structural engineering that incorporate concepts from other fields like Modal and Vibration control. Modal research discussed connects with the study of Identification (information).

The studies on Control theory discussed can also contribute to research in the domains of Control engineering and Benchmark (computing). While Structural health monitoring is the focus of Structural Control & Health Monitoring, it also provided insights into the studies of Acoustics, Damage detection, Data mining, Artificial intelligence and Algorithm. Structural Control & Health Monitoring addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning and Computer vision.

Magnetorheological fluid is a major topic of Damper research.

  • Structural engineering (40.35%)
  • Control theory (21.45%)
  • Structural health monitoring (20.06%)

What are the most cited papers published in the journal?

  • Smart sensing technology: opportunities and challenges (442 citations)
  • Bayesian system identification based on probability logic (358 citations)
  • Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower (266 citations)

Research areas of the most cited articles at Structural Control & Health Monitoring:

The journal papers mainly deal with areas of study such as Structural engineering, Structural health monitoring, Control theory, Damper and Vibration. The works on Structural engineering tackled in the most cited publications bring together disciplines like Modal and Vibration control. The most cited publications focus on Control theory but the discussions also offer insight into other areas such as Control engineering, Base isolation and Benchmark (computing).

What topics the last edition of the journal is best known for?

  • Structural engineering
  • Artificial intelligence
  • Statistics

The previous edition focused in particular on these issues:

The journal generally zeroes in on subjects such as Structural engineering, Structural health monitoring, Artificial intelligence, Damage detection and Composite material. The journal focuses on Structural engineering but the discussions also offer insight into other areas such as Negative stiffness and Vibration, Vibration control. The work on Structural health monitoring tackled in it brings together disciplines like Acoustics and Data mining.

While Artificial intelligence is the key highlight in it, it also covered some subjects on Identification (information) and Algorithm. Inerter is a focus of the presented Damper works and it dives deep in Inerter. Topics in Inerter were tackled in line with various other fields like Base isolation, Optimal design, Tuned mass damper and Control theory.

The most cited articles from the last journal are:

  • Ensemble learning-based structural health monitoring by Mahalanobis distance metrics (13 citations)
  • Dissipative steel exoskeletons for the seismic control of reinforced concrete framed buildings (8 citations)
  • Optimization-based seismic design of steel moment-resisting frames with nonlinear viscous dampers (8 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Structural Control & Health Monitoring (based on the number of publications) are:

  • Billie F. Spencer (35 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Hui Li (33 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Hong-Nan Li (27 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Jinping Ou (26 papers) absent at the last edition,
  • Satish Nagarajaiah (25 papers) published 2 papers at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Structural Control & Health Monitoring (based on the number of publications) are:

  • Tongji University (88 papers) published 15 papers at the last edition, 1 more than at the previous edition,
  • Dalian University of Technology (72 papers) published 5 papers at the last edition, 3 less than at the previous edition,
  • Harbin Institute of Technology (71 papers) published 10 papers at the last edition, 6 more than at the previous edition,
  • University of Southern California (42 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Hong Kong Polytechnic University (41 papers) published 6 papers at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 2.43% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.88% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.92% of all publications and 49.75% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Global Navigation Satellite System-based positioning technology for structural health monitoring: a review

    Jiayong Yu;Jiayong Yu;Xiaolin Meng;Xiaolin Meng;Banfu Yan;Bin Xu

    (2020)
    142 Citations
  • Seismic response prediction method for building structures using convolutional neural network

    Byung Kwan Oh;Byung Kwan Oh;Youngjun Park;Hyo Seon Park

    (2020)
    132 Citations
  • Eliminating environmental and operational effects on structural modal frequency: A comprehensive review

    Unknown

    (2022)
    123 Citations
  • Swing vibration control of suspended structures using the Active Rotary Inertia Driver system: Theoretical modeling and experimental verification

    Chunwei Zhang;Hao Wang

    (2020)
    96 Citations
  • Ensemble learning-based structural health monitoring by Mahalanobis distance metrics

    Hassan Sarmadi;Alireza Entezami;Behzad Saeedi Razavi;Ka‐Veng Yuen

    (2021)
    83 Citations
  • Statistical seismic performance assessment of tuned mass damper inerter

    Ali Kaveh;Maziar Fahimi Farzam;Himan Hojat Jalali

    (2020)
    83 Citations
  • An accurate and robust monitoring method of full‐bridge traffic load distribution based on YOLO‐v3 machine vision

    Liangfu Ge;Danhui Dan;Hui Li

    (2020)
    81 Citations
  • Probabilistic principal component analysis‐based anomaly detection for structures with missing data

    (2021)
    54 Citations
  • Bridge influence line identification from structural dynamic responses induced by a high‐speed vehicle

    Xu Zheng;Dong‐Hui Yang;Ting‐Hua Yi;Hong‐Nan Li

    (2020)
    53 Citations
  • Deep learning-based classification and instance segmentation of leakage-area and scaling images of shield tunnel linings

    Shuai Zhao;Mahdi Shadabfar;Dongming Zhang;Jiayao Chen

    (2021)
    53 Citations

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