World's Best Scientists 2026 revealed!
Advanced Engineering Informatics
H-index 56

Advanced Engineering Informatics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 88 129 248 46
Engineering and Technology 113 116 263 42

Additional Metrics

Number of Best Scientists*: 345
Documents by Best Scientists*: 571
Top 100 Ranked Scientists*: 13
SCIMAGO H-index: 124
SCIMAGO SJR: 1.993
Impact Factor: 9.9

Overview

Top Research Topics at Advanced Engineering Informatics?

The journal mainly tackles studies in Artificial intelligence, Data mining, Systems engineering, Software engineering and Machine learning. Computer vision and Pattern recognition are some topics wherein Artificial intelligence research discussed in it have an impact.

  • Artificial intelligence (22.74%)
  • Data mining (10.92%)
  • Systems engineering (10.17%)

What are the most cited papers published in the journal?

  • Comparison among five evolutionary-based optimization algorithms (1028 citations)
  • Constraint-handling in genetic algorithms through the use of dominance-based tournament selection (605 citations)
  • Ant colony optimization techniques for the vehicle routing problem (520 citations)

Research areas of the most cited articles at Advanced Engineering Informatics:

The journal articles primarily focus on research topics in Artificial intelligence, Systems engineering, Software engineering, Mathematical optimization and Building information modeling. The works on Artificial intelligence tackled in the published papers bring together disciplines like Machine learning and Computer vision. The works on Software engineering tackled in the journal articles bring together disciplines like Ontology (information science) and Context (language use).

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

  • Artificial intelligence
  • Statistics
  • Machine learning

The previous edition focused in particular on these issues:

Artificial intelligence, Data mining, Deep learning, Machine learning and Algorithm are the subjects of interest in the journal. Advanced Engineering Informatics explores issues in Artificial intelligence which can be linked to other research areas like Computer vision and Pattern recognition. The journal focused on Pattern recognition research but expanded to cover Feature (computer vision).

It holds forums on Data mining that merges themes from other disciplines such as New product development, Cluster analysis and Product (mathematics).

The most cited articles from the last journal are:

  • Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model (26 citations)
  • An integrated optimization method for tactical-level planning in liner shipping with heterogeneous ship fleet and environmental considerations (11 citations)
  • Modeling berth allocation and quay crane assignment considering QC driver cost and operating efficiency (11 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 Advanced Engineering Informatics (based on the number of publications) are:

  • Amy J.C. Trappey (27 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Chun-Hsien Chen (24 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Ian F. C. Smith (22 papers) published 4 papers at the last edition,
  • Heng Li (15 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Hanbin Luo (15 papers) published 1 paper at the last edition, 4 less than 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 Advanced Engineering Informatics (based on the number of publications) are:

  • Nanyang Technological University (49 papers) published 8 papers at the last edition, 4 less than at the previous edition,
  • Hong Kong Polytechnic University (45 papers) published 14 papers at the last edition, 1 more than at the previous edition,
  • Georgia Institute of Technology (39 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Huazhong University of Science and Technology (37 papers) published 4 papers at the last edition, 5 less than at the previous edition,
  • National Tsing Hua University (30 papers) published 5 papers at the last edition, 1 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, 6.28% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.70% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.15% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.46% of all publications and 44.69% 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

  • Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model

    Shohin Aheleroff;Xun Xu;Ray Y. Zhong;Yuqian Lu

    (2021)
    569 Citations
  • Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework

    Unknown

    (2022)
    420 Citations
  • IoT-enabled smart appliances under industry 4.0: A case study

    Shohin Aheleroff;Xun Xu;Yuqian Lu;Mauricio Aristizabal

    (2020)
    311 Citations
  • A review of digital twin in product design and development

    C.K. Lo;C.H. Chen;Ray Y. Zhong

    (2021)
    306 Citations
  • Exact and metaheuristic algorithms for the vehicle routing problem with a factory-in-a-box in multi-objective settings

    Unknown

    (2022)
    301 Citations
  • Computer vision for behaviour-based safety in construction: A review and future directions

    Weili Fang;Peter E.D. Love;Hanbin Luo;Lieyun Ding

    (2020)
    290 Citations
  • DETDO: An adaptive hybrid dandelion optimizer for engineering optimization

    Unknown

    (2023)
    211 Citations
  • A systematic review of digital twin about physical entities, virtual models, twin data, and applications

    (2023)
    187 Citations

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Best Scientists Contributing to This Journal