Kunming , China
Submission Deadline: Tuesday 20 Dec 2022
Conference Dates: Jul 18, 2023 - Jul 20, 2023
Bioinformatics and Bioengineering primarily focuses on research topics in Artificial intelligence, Pattern recognition, Data mining, Machine learning and Computational biology. The work on Artificial intelligence addressed in it expands to the thematically related Computer vision. The conference links adjacent topics like Pattern recognition with Electroencephalography.
Most of the works presented in the conference deals with Data mining but it intersects with the subject of Cluster analysis. While Computational biology is the focus of Bioinformatics and Bioengineering, it also provided insights into the studies of Genetics, Molecular biophysics and Genomics. Gene and Genome studies are all carried out as a component of the study in Genetics presented.
The majority of Gene studies presented zero in on Gene expression.
The most cited articles focus largely on the fields of Artificial intelligence, Data mining, Pattern recognition, Algorithm and Support vector machine. The most cited publications focus on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning and Computer vision. The most cited publications deal with Data mining in conjunction with Gene and similar fields in Expression (mathematics).
Artificial intelligence, Data mining, Computational biology, Computer vision and Machine learning are the subjects of interest in Bioinformatics and Bioengineering. It holds forums on Artificial intelligence that merges themes from other disciplines such as Field (computer science), Comprehension and Pattern recognition. Bioinformatics and Bioengineering explores issues in Data mining which can be linked to other research areas like Mutual information, Reverse engineering, Systems biology and Gene regulatory network.
Some problems in Computational biology that were presented in Bioinformatics and Bioengineering overlapped with concepts under Set (abstract data type), Gene, Maximization and Bioinformatics. While the conference focused on Computer vision, it was also able to explore topics like Brain region and Brain tissue. Machine learning research presented in the conference encompasses a variety of subjects, including General-purpose computing on graphics processing units, Protein function prediction, In silico and Normal aging.
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 Bioinformatics and Bioengineering (based on the number of publications) are:
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 Bioinformatics and Bioengineering (based on the number of publications) are:
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.
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 2016 edition, 5.97% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.63% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.87% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.46% of all publications and 46.03% were from other institutions.
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.
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 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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
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7th International Conference on Biological Information and Biomedical Engineering
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