William J. Song
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Computer Networks and Communications top 5%
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition
- Co-authors
- Sudhakar YalamanchiliSaibal MukhopadhyayAli SheikholeslamiJong‐Moon ChungHyeonjin KimDae‐Young LeeSungho ChoiJi‐Eun Lim
- Topics
- Parallel Computing and Optimization Techniques (24 papers)Low-power high-performance VLSI design (7 papers)Advanced Data Storage Technologies (7 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
William J. Song
32 papers receiving 445 citations
Peers
Comparison fields: 5 of 41
- Electrical and Electronic Engineering 267
- Hardware and Architecture 237
- Computer Networks and Communications 228
- Atomic and Molecular Physics, and Optics 40
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by William J. Song
This map shows the geographic impact of William J. Song'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 William J. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Song more than expected).
Fields of papers citing papers by William J. Song
This network shows the impact of papers produced by William J. Song. 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 William J. Song. The network helps show where William J. Song may publish in the future.
Co-authorship network of co-authors of William J. Song
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Song. A scholar is included among the top collaborators of William J. Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William J. Song. William J. Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 44 | |
| 11 | 21 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 15 | |
| 18 | 10 | |
| 19 | 8 | |
| 20 | 44 |
About William J. Song
William J. Song is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 33 papers that have together received 459 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (24 papers), Low-power high-performance VLSI design (7 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Hardware and Architecture (237 citations), Computer Networks and Communications (228 citations) and Computational Mathematics (3 citations). William J. Song has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Sudhakar Yalamanchili, Saibal Mukhopadhyay, Ali Sheikholeslami, Jong‐Moon Chung, Hyeonjin Kim, Dae‐Young Lee, Sungho Choi, Ji‐Eun Lim, Wonyong Sung and Hyesoon Kim. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Computers.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.