Scopus dataset — Green Cloud Computing and Quantization (2020–2025)
Source:R/data.R
scopus_quantum_cloud.RdFirst 500 records from a Scopus bibliometric export on the intersection of green cloud computing and quantization, covering 2020–2025. Includes full references, author keywords, index keywords, and affiliations.
Format
A data frame with 499 rows and 12 columns:
- id
Scopus EID.
- title
Work title.
- year
Publication year (integer).
- journal
Source title.
- doi
DOI string without the
https://doi.org/prefix.- cited_by_count
Times cited in Scopus.
- abstract
Abstract text.
- type
Document type (
"Article","Review", etc.).- authors
List-column of author name strings.
- references
List-column of cited reference strings.
- keywords
List-column of author keywords.
- affiliations
List-column of affiliation strings.
Source
Scopus bibliometric export. Dataset archived at doi:10.5281/zenodo.17142636 (CC BY 4.0).
Examples
data(scopus_quantum_cloud)
author_network(scopus_quantum_cloud, "collaboration")
#> # bibnets network: author_collaboration | 1,695 nodes · 7,854 edges | counting: full
#> from to weight count
#> 1 WANG Y YIN S 9 9
#> 2 WANG Y WEI S 7 7
#> 3 WEI S YIN S 7 7
#> 4 CAI H LIU B 6 6
#> 5 LIU L WANG Y 6 6
#> 6 LIU L WEI S 6 6
#> 7 LIU L YIN S 6 6
#> 8 CHUANG Y-C HUANG C-T 5 5
#> 9 CHANG M-F TANG K-T 5 5
#> 10 MARTINS RP UN K-F 5 5
#> # ... 7,844 more edges
keyword_network(scopus_quantum_cloud)
#> # bibnets network: keyword_co_occurrence | 1,267 nodes · 4,993 edges | counting: full
#> from to weight count
#> 1 EDGE COMPUTING QUANTIZATION 16 16
#> 2 DEEP LEARNING QUANTIZATION 14 14
#> 3 DEEP LEARNING EDGE COMPUTING 13 13
#> 4 DEEP LEARNING FPGA 10 10
#> 5 PRUNING QUANTIZATION 10 10
#> 6 EDGE COMPUTING ENERGY EFFICIENCY 9 9
#> 7 DEEP LEARNING ENERGY EFFICIENCY 8 8
#> 8 APPROXIMATE COMPUTING QUANTIZATION 7 7
#> 9 MODEL COMPRESSION QUANTIZATION 7 7
#> 10 FPGA HARDWARE ACCELERATOR 6 6
#> # ... 4,983 more edges
document_network(scopus_quantum_cloud, "coupling", similarity = "cosine")
#> # bibnets network: document_coupling | 381 nodes · 3,920 edges | counting: full | similarity: cosine
#> from to weight count
#> 1 2-s2.0-85169545148 2-s2.0-85150169631 0.4671 12
#> 2 2-s2.0-85203687776 2-s2.0-85200587918 0.3872 10
#> 3 2-s2.0-85131677679 2-s2.0-85172072697 0.3424 7
#> 4 2-s2.0-85187392673 2-s2.0-85124224751 0.269 11
#> 5 2-s2.0-85161914543 2-s2.0-85100337829 0.2443 13
#> 6 2-s2.0-85208437403 2-s2.0-85151751249 0.189 1
#> 7 2-s2.0-85190173543 2-s2.0-85176469543 0.1723 13
#> 8 2-s2.0-85183972273 2-s2.0-85118652902 0.1636 8
#> 9 2-s2.0-85183972273 2-s2.0-85103250029 0.1576 4
#> 10 2-s2.0-105007025300 2-s2.0-85151751249 0.1508 1
#> # ... 3,910 more edges