Son N. Han
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Noël CrespiDina HusseinSoochang ParkAntonio M. OrtizGyu Myoung LeeLei ShuMichael PechtMithun Mukherjee
- Topics
- IoT and Edge/Fog Computing (7 papers)Context-Aware Activity Recognition Systems (6 papers)Service-Oriented Architecture and Web Services (3 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- FranceUnited KingdomCanada
In The Last Decade
Son N. Han
10 papers receiving 530 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 388
- Information Systems 180
- Electrical and Electronic Engineering 132
- Computer Vision and Pattern Recognition 121
- Artificial Intelligence 74
Countries citing papers authored by Son N. Han
This map shows the geographic impact of Son N. Han'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 Son N. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Son N. Han more than expected).
Fields of papers citing papers by Son N. Han
This network shows the impact of papers produced by Son N. Han. 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 Son N. Han. The network helps show where Son N. Han may publish in the future.
Co-authorship network of co-authors of Son N. Han
This figure shows the co-authorship network connecting the top 25 collaborators of Son N. Han. A scholar is included among the top collaborators of Son N. Han 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 Son N. Han. Son N. Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 36 | |
| 5 | 14 | |
| 6 | 31 | |
| 7 | 37 | |
| 8 | The Cluster Between Internet of Things and Social Networks: Review and Research Challengesbreakdown → | 278 |
| 9 | 12 | |
| 10 | 77 |
About Son N. Han
Son N. Han is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 10 papers that have together received 551 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Context-Aware Activity Recognition Systems (6 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Computer Networks and Communications (388 citations), Information Systems (180 citations) and Computer Vision and Pattern Recognition (121 citations). Son N. Han has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Noël Crespi, Dina Hussein, Soochang Park, Antonio M. Ortiz, Gyu Myoung Lee, Soochang Park, Lei Shu, Michael Pecht, Mithun Mukherjee and Imran Khan. Their work appears in journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Internet of Things Journal.
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.