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Journal of Wind Engineering and Industrial Aerodynamics
H-index 42

Journal of Wind Engineering and Industrial Aerodynamics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 49 56 254 34
Engineering and Technology 156 80 252 36
Environmental Sciences 345 26 48 16

Additional Metrics

Number of Best Scientists*: 194
Documents by Best Scientists*: 528
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 144
SCIMAGO SJR: 1.357
Impact Factor: 4.9

Overview

Top Research Topics at Journal of Wind Engineering and Industrial Aerodynamics?

The primary areas of discussion in the journal are Mechanics, Wind tunnel, Structural engineering, Aerodynamics and Meteorology. The presentations discussing Mechanics offer insights in topics such as Turbulence, Vortex, Flow (psychology), Reynolds number and Wake. The studies on Turbulence discussed can also contribute to research in the domains of Classical mechanics and Boundary layer.

Reynolds number and Geometry are closely related fields of research discussed in Journal of Wind Engineering and Industrial Aerodynamics. The subject of Marine engineering, which is connected to the field of Turbine, serves as the foundation of the Wind tunnel research featured in the journal. The research on Structural engineering tackled can also make contributions to studies in the areas of Vibration, Aeroelasticity and Flutter.

The overlapping concepts between Drag and Lift (force) are the key highlights of Aerodynamics study. Some problems in Meteorology that were presented in it overlapped with concepts under Terrain and Atmospheric sciences. The Wind speed study featured in it draws parallels with the field of Wind power.

  • Mechanics (30.02%)
  • Wind tunnel (28.16%)
  • Structural engineering (27.19%)

What are the most cited papers published in the journal?

  • AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings (1145 citations)
  • Appropriate boundary conditions for computational wind engineering models using the k-ϵ turbulence model (743 citations)
  • Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis (680 citations)

Research areas of the most cited articles at Journal of Wind Engineering and Industrial Aerodynamics:

Aerodynamics, Mechanics, Wind tunnel, Meteorology and Structural engineering are the main subjects of interest in the journal papers. The studies on Aerodynamics discussed at the journal publications can also contribute to research in the domains of Computational fluid dynamics, Simulation, Computer simulation and Wind engineering. Vibration, Aeroelasticity and Flutter are some topics wherein Structural engineering research discussed in the journal papers has an impact.

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

  • World War II
  • Structural engineering
  • Statistics

The previous edition focused in particular on these issues:

Journal of Wind Engineering and Industrial Aerodynamics focuses largely on the fields of Mechanics, Aerodynamics, Wind tunnel, Turbulence and Wind speed. In Journal of Wind Engineering and Industrial Aerodynamics, Airfoil, Structural engineering, Computational fluid dynamics and Train are investigated in conjunction with one another to address concerns in Aerodynamics research. The study of Aeroelasticity and how it intertwines with concepts under Flutter were explored in the presented Wind tunnel research.

The research on Turbulence discussed in the journal draws on the closely related field of Crosswind. The journal focuses on Wind speed research as part of the broader topic of Meteorology. Issues in Meteorology were discussed, taking into consideration concepts from other disciplines like Current (stream) and Range (statistics).

The most cited articles from the last journal are:

  • A perspective on the aerodynamics and aeroelasticity of tapering: Partial reattachment (19 citations)
  • An experimental study on smoke back-layering and critical velocity in tunnel fires with canyon cross wind (12 citations)
  • Higher order dynamic mode decomposition of wind pressures on square buildings (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 Journal of Wind Engineering and Industrial Aerodynamics (based on the number of publications) are:

  • Yukio Tamura (90 papers) absent at the last edition,
  • Christopher Baker (83 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Ted Stathopoulos (76 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Ahsan Kareem (70 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Kenny C. S Kwok (68 papers) published 2 papers at the last edition the same number as at the previous 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 Journal of Wind Engineering and Industrial Aerodynamics (based on the number of publications) are:

  • University of Western Ontario (223 papers) published 12 papers at the last edition, 3 more than at the previous edition,
  • Tongji University (186 papers) published 25 papers at the last edition, 10 more than at the previous edition,
  • University of Tokyo (127 papers) published 5 papers at the last edition, 4 less than at the previous edition,
  • Texas Tech University (122 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • Central South University (98 papers) published 26 papers at the last edition, 4 more 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, 4.76% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.08% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.31% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.46% of all publications and 36.15% 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

  • Case study of vortex-induced vibration and mitigation mechanism for a long-span suspension bridge

    Unknown

    (2021)
    179 Citations
  • Predicting wind pressures around circular cylinders using machine learning techniques

    Gang Hu;K.C.S. Kwok

    (2020)
    141 Citations
  • Deep learning-based investigation of wind pressures on tall building under interference effects

    Gang Hu;Lingbo Liu;Lingbo Liu;Dacheng Tao;Jie Song

    (2020)
    138 Citations
  • A probabilistic approach for short-term prediction of wind gust speed using ensemble learning

    Hao Wang;Yi-Ming Zhang;Yi-Ming Zhang;Jian-Xiao Mao;Hua-Ping Wan

    (2020)
    90 Citations
  • Toward a refined estimation of typhoon wind hazards: Parametric modeling and upstream terrain effects

    Genshen Fang;Genshen Fang;Weichiang Pang;Lin Zhao;Prashant Rawal

    (2021)
    80 Citations
  • Sparse Gaussian process regression for multi-step ahead forecasting of wind gusts combining numerical weather predictions and on-site measurements

    (2021)
    66 Citations
  • Characterization of vibration amplitude of nonlinear bridge flutter from section model test to full bridge estimation

    Bo Wu;Xinzhong Chen;Qi Wang;Haili Liao

    (2020)
    64 Citations
  • Aerodynamic investigation of the start-up process of H-type vertical axis wind turbines using CFD

    Yunus Celik;Lin Ma;Derek Ingham;Mohamed Pourkashanian

    (2020)
    62 Citations
  • Impact of the train-track-bridge system characteristics in the runnability of high-speed trains against crosswinds - Part I: Running safety

    (2022)
    62 Citations

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Best Scientists Contributing to This Journal