Building Machine Learning and Deep Learning Models on Google Cloud Platform2019 · 645 citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of Ekaba Bisong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ekaba Bisong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ekaba Bisong more than expected).
This network shows the impact of papers produced by Ekaba Bisong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ekaba Bisong. The network helps show where Ekaba Bisong may publish in the future.
Co-authors
The 2 scholars most cited alongside Ekaba Bisong, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Ekaba BisongLine = papers co-authored togetherEkaba Bisong links everyone, so they are left out of the graph.
All Works
3 of 3 papers shown
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Work
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Building Machine Learning and Deep Learning Models on Google Cloud Platform
Ekaba Bisong is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 774 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (1 paper), Natural Language Processing Techniques (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (225 citations), Health Information Management (27 citations), Computer Vision and Pattern Recognition (105 citations) and Media Technology (37 citations). Ekaba Bisong has collaborated with scholars based in United States. Frequent co-authors include Shweta Bhatt and Thomas Wagner. Their work appears in journals such as Apress eBooks and CERN Document Server (European Organization for Nuclear Research).
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incomplete records, variations in author disambiguation, differences in journal indexing, and
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