1003-9775
Published by: Beijing Zhongke Periodical Publishing
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 883 | 34 | 46 | 4 |
The objective of Journal of Computer-aided Design & Computer Graphics is to combine knowledge in the areas of Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Engineering drawing. The presentations discussing Artificial intelligence offer insights in topics such as Image (mathematics), Segmentation and Feature (computer vision).
The journal publications cover a variety of subjects, including Artificial intelligence, Computer vision, Data mining, Computer graphics (images) and CAD. The studies on Artificial intelligence discussed at the most cited papers can also contribute to research in the domains of Envelope (motion) and Pattern recognition. The published articles facilitate discussions on Computer vision that incorporate concepts from other fields like Variable (computer science) and Filter (video).
The aim of the journal is to expand the discussion of research in Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Object detection. The Artificial intelligence study tackled is a key component of adjacent topics in the area of Perception. While Computer vision is the focus of the journal, it also provided insights into the studies of Sketch, Adversarial system and Residual.
More specifically, the research on Pattern recognition in Journal of Computer-aided Design & Computer Graphics is related to Convolutional neural network. It links adjacent topics like Object detection with Scale (ratio).
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 Computer-aided Design & Computer Graphics (based on the number of publications) are:
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 Computer-aided Design & Computer Graphics (based on the number of publications) are:
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.
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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
If you are a researcher or scholar interested in the areas of artificial intelligence, algorithms, pattern recognition, and computer vision, this Journal provides a great platform to publish your work and contribute to the field. Here are a few steps to help you get started. 1. **Identify your area of focus**: Determine the specific topic within these broad areas that you want to further explore. Your chosen research topic should align with the research topics being discussed in the journal. 2. **Submit a Proposal/Abstract**: After finalizing your research idea, write down an abstract that clearly defines your research objective, methodology, expected results, and significance of your study. 3. **Review the journal's published articles**: Before submitting your paper, make sure to review the previously published articles in the journal. This review could help you better understand the structure, style, and tone preferred by the journal committee. 4. **Submit your paper**: Once you are satisfied with your research paper, referring to their submission guideline, submit the paper. In addition, if you're someone interested in pursuing a career around these topics, especially in teaching, knowing about these cutting-edge research areas could be quite beneficial. For instance, understanding the latest advancements in artificial intelligence and computer vision can help you bring fresh perspectives in your teaching methods. This could be particularly useful if you're aspired to teach middle school mathematics, where a practical understanding of algorithms and pattern recognition could be useful. Here's a comprehensive guide on how to be a middle school math teacher in Pennsylvania. It could be a great starting point for your teaching career journey. In conclusion, becoming a part of the Journal of Computer-aided Design & Computer Graphics community not only allows you to stay updated with the latest research trends but also provides a platform to showcase your research work to a broader audience.
Shuainan Ye;Xiangtong Chu;Yingcai Wu
(2021)Zhe Zheng;Lin Lei;Hao Sun;Gangyao Kuang
(2021)Junxiao Xue;Xiangyan Kong;Yibo Guo;Aiguo Lu
(2021)Yibo Guo;Wenhua Meng;Yiming Fan;Lishuo Hou
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