Joo-Han Song

486 citations
14 papers · 332 · h-index 11

Impact in

Papers in

Joo-Han Song

14 papers receiving 298 citations

Peers

Joo-Han Song
Comparison fields: 5 of 28
  • Computer Networks and Communications 252
  • Electrical and Electronic Engineering 195
  • Transplantation 8
  • Artificial Intelligence 67
  • Automotive Engineering 18
Replace Florian Dötzer with:
Florian Dötzer Germany
Samir Tohmé France
Fabio Picconi France
Anand Kashyap United States
Mohamed Boucadair France
Dongeun Suh South Korea
Brian Haberman United States
Satoshi Kurosawa Japan
Eslam G. AbdAllah Canada
V. Sankaranarayanan India
Joo-Han Song relative to Florian Dötzer Germany Florian Dötzer's profile →
Citations per field
00.5×
Florian Dötzer · 1×
Citations per year

Countries citing papers authored by Joo-Han Song

Since Specialization
Citations

This map shows the geographic impact of Joo-Han 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 Joo-Han Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joo-Han Song more than expected).

Fields of papers citing papers by Joo-Han Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo-Han 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 Joo-Han Song. The network helps show where Joo-Han Song may publish in the future.

Co-authors

The 12 scholars most cited alongside Joo-Han Song, 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 Joo-Han Song Line = papers co-authored together Joo-Han Song links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200968
2 200849
3 200448
4 200632
5 200725
6 200924
7 200416
8 200414
9 200514
10 200314
11 201213
12 20106
13 20085
14 20084

About Joo-Han Song

Joo-Han Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Transplantation and Biomedical Engineering, having authored 14 papers that have together received 332 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (10 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Wireless Networks and Protocols (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Cooperative Communication and Network Coding (4 papers), Wireless Communication Networks Research (1 paper), Energy Efficient Wireless Sensor Networks (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Computer Networks and Communications (252 citations), Electrical and Electronic Engineering (195 citations), Transplantation (8 citations), Artificial Intelligence (67 citations) and Automotive Engineering (18 citations). Joo-Han Song has collaborated with scholars based in Canada, South Korea and Hong Kong. Frequent co-authors include Vincent W. S. Wong, Victor C. M. Leung, Yuxia Lin, Seok Lee, Hyung Seok Kim, Hwi‐yeol Yun, Jung Mi Oh, Jeong-Hyun Yoon, Myeong Gyu Kim and Nayoung Han. Their work appears in journals such as Mobile Networks and Applications, IEEE Transactions on Consumer Electronics, Ad Hoc Networks, Wireless Communications and Mobile Computing and Annals of Pharmacotherapy.

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.

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