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IEEE

IEEE 12th Joint International Information Technology and Artificial Intelligence Conference (ITAIC 2025) (IITAIC)

Location: Chongqing , China

Conference dates: 5/23/2025 - 5/25/2025

Research H-index
5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 379 12 14 2
Computer Science 643 47 60 5

Call for Papers

2025 IEEE 12th Joint International Information Technology and Artificial Intelligence Conference (ITAIC 2025) will be held on May 23-25, 2025 at Chongqing China. This conference is sponsored by IEEE and Chongqing Global Union Academy of Science and Technology. Submitted papers will be reviewed by at least two technical program committee members and subreviewers assigned by PC members of the Conference. All accepted papers will be published by IEEE,which will be submitted to EI、CNKI index.Excellent papers will be selected and published on SCI and EI journals.

The aim of IEEE ITAIC 2025 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Information Technology and Artificial Intelligence. It provides opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration.

Overview

The scientific conference ranking presented on this page highlights leading conferences from the field of Engineering and Technology. This comprehensive ranking has been curated by Research.com, which has established itself as one of the foremost platforms for science research across all major disciplines. Since 2014, Research.com has provided trusted data on scientific contributions globally, fostering academic advancement and transparency in the research community.

Each conference’s position in the ranking is determined utilizing a unique bibliometric score developed by Research.com. This score integrates the estimated h-index and the number of distinguished scientists who have participated in the conference during the previous three years, offering a robust and multidimensional measure of conference impact and prestige. The ranking features the latest Impact Score values, meticulously gathered as of 2024-11-27.

The ranking process reflects a rigorous and in-depth evaluation. Over 2262 conferences have been assessed, following a detailed inspection that involved comprehensive analysis of more than 26,934 scientific documents published by 9,385 leading and highly respected scientists in the realm of Engineering and Technology over the past three years. This exhaustive approach ensures that the ranking precisely reflects the current landscape of scientific excellence and influence within the field.

For a thorough explanation of the methods and criteria applied in computing these conference ranking scores, interested readers are encouraged to consult our Methodology Page.

Papers citation over time

A key indicator for each conference 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 at IEEE Joint International Information Technology and Artificial Intelligence Conference (based on the number of publications) are:

  • Zhen Zhang (7 papers) absent at the last edition,
  • Linyong Shen (7 papers) absent at the last edition,
  • Chao Zhang (6 papers) published 6 papers at the last edition,
  • Yanan Zhang (6 papers) absent at the last edition,
  • Hejin Xiong (5 papers) absent at the last edition.

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

Only papers with recognized affiliations are considered

The top affiliations publishing at IEEE Joint International Information Technology and Artificial Intelligence Conference (based on the number of publications) are:

  • National University of Defense Technology (44 papers) published 19 papers at the last edition, 1 more than at the previous edition,
  • Electric Power Research Institute (37 papers) published 23 papers at the last edition, 10 more than at the previous edition,
  • Shanghai University (33 papers) published 5 papers at the last edition, 17 less than at the previous edition,
  • Chinese Academy of Sciences (31 papers) published 8 papers at the last edition, 7 less than at the previous edition,
  • Wuhan University of Technology (28 papers) published 11 papers at the last edition the same number as at the previous edition.

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

Publication chance based on affiliation

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

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 2020 edition, 32.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.33% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.00% of all publications and 29.67% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.

Related Online Degrees & Career Pathways

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