Justin Song
- Sociology and Political Science
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Artificial Intelligence
- Hardware and Architecture top 10%
- Co-authors
- Wookey LeePatricia L. BrantinghamMartin A. AndresenCarson K. LeungSoo‐Bok LeeAndrew ParkRichard FrankYongqun He
- Topics
- Crime Patterns and Interventions (11 papers)Web Data Mining and Analysis (5 papers)Data Management and Algorithms (5 papers)
- Partner nations
- CanadaSouth KoreaUnited States
In The Last Decade
Justin Song
33 papers receiving 250 citations
Peers
Comparison fields: 5 of 63
- Sociology and Political Science 89
- Computer Networks and Communications 60
- Information Systems 57
- Artificial Intelligence 49
- Hardware and Architecture 38
Countries citing papers authored by Justin Song
This map shows the geographic impact of Justin 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 Justin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Song more than expected).
Fields of papers citing papers by Justin Song
This network shows the impact of papers produced by Justin 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 Justin Song. The network helps show where Justin Song may publish in the future.
Co-authorship network of co-authors of Justin Song
This figure shows the co-authorship network connecting the top 25 collaborators of Justin Song. A scholar is included among the top collaborators of Justin 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 Justin Song. Justin 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 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | Crime in the Built Urban Environment: Exploring the Impact of Road Networks and Land Use on Residential Burglary Patterns | 1 |
| 11 | 39 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | An Effective Mobile Web Object Navigation Based on the Steiner Tree Approach | 1 |
| 17 | 1 | |
| 18 | 18 | |
| 19 | 2 | |
| 20 | Case Studies: Memory Behavior of Multithreaded Multimedia and AI Applications | 5 |
About Justin Song
Justin Song is a scholar working on Hardware and Architecture, Signal Processing and Information Systems, having authored 34 papers that have together received 258 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (11 papers), Web Data Mining and Analysis (5 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Hardware and Architecture (38 citations), Transportation (22 citations) and Computer Networks and Communications (60 citations). Justin Song has collaborated with scholars based in Canada, South Korea and United States. Frequent co-authors include Wookey Lee, Patricia L. Brantingham, Martin A. Andresen, Carson K. Leung, Soo‐Bok Lee, Andrew Park, Richard Frank, Yongqun He, Victor C. S. Lee and Martin Steskal. Their work appears in journals such as BMC Bioinformatics, Journal of Environmental Psychology and Applied Geography.
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.