LIBSVM is a research paper published in ACM Transactions on Intelligent Systems and Technology (2011). On theSindex it has a DataRank of 1.6. It has been cited 41,260 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
1.6
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: NSC 89-2213-E-002-013NSC 89-2213-E-002-106
FWCI
2928.59
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Efficient AI and Deep Learning for Sentiment Analysis: Optimized Hybrid MLP for Low-Computational Setups
Additional file 1 of Predicting MCI progression with FDG-PET and cognitive scores: a longitudinal study
Additional file 1 of Predicting MCI progression with FDG-PET and cognitive scores: a longitudinal study
Additional file 1 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 1 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 2 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 2 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 3 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 3 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 4 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 4 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 5 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 5 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 6 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 6 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 7 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 7 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 8 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 8 of Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
Additional file 1 of iDPGK: characterization and identification of lysine phosphoglycerylation sites based on sequence-based features