Hung Cao

400 citations
27 papers · 221 indexed · h-index 8
Topics
IoT and Edge/Fog Computing (7 papers)Context-Aware Activity Recognition Systems (4 papers)Smart Parking Systems Research (3 papers)
Partner nations
CanadaAustraliaSpain

In The Last Decade

Hung Cao

24 papers receiving 214 citations

Peers

Hung Cao
Comparison fields: 5 of 62
  • Computer Networks and Communications 84
  • Information Systems 44
  • Electrical and Electronic Engineering 41
  • Artificial Intelligence 33
  • Nuclear and High Energy Physics 33
Replace Liang Zhu with:
Liang Zhu China
Mihaela Breaban Romania
Haolei Chen China
Jian Kang China
Xinyu Meng China
Alekha Kumar Mishra India
Pingfu Chao China
Ying‐Hsin Liang Taiwan
Antonio Carta Italy
Marta Chinnici Italy
Hung Cao relative to Liang Zhu China Liang Zhu's profile →
Citations per field
00.5×4.7×
Liang Zhu · 1×
Citations per year

Countries citing papers authored by Hung Cao

Since Specialization
Citations

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

Fields of papers citing papers by Hung Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung Cao. 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 Hung Cao. The network helps show where Hung Cao may publish in the future.

Co-authorship network of co-authors of Hung Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Hung Cao. A scholar is included among the top collaborators of Hung Cao 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 Hung Cao. Hung Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 0
3 0
4 0
5 2
6 3
7 11
8 1
9 4
10 6
11 4
12 26
13 27
14 26
15
Developing an edge analytics platform for analyzing real-time transit data streams.
4
16 9
17
Complex Tasks Allocation for Multi Robot Teams under Communication Constraints
4
18 1
19 2
20
Catalyst selection important for residuum hydroprocessing
4

About Hung Cao

Hung Cao is a scholar working on Transportation, Building and Construction and Computer Networks and Communications, having authored 27 papers that have together received 221 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Context-Aware Activity Recognition Systems (4 papers) and Smart Parking Systems Research (3 papers). The work is most often cited by research in Computer Networks and Communications (84 citations), Transportation (18 citations) and Nuclear and High Energy Physics (33 citations). Hung Cao has collaborated with scholars based in Canada, Australia and Spain. Frequent co-authors include Mónica Wachowicz, Edward Shuryak, Emanuele Carlini, Chiara Renso, Loc Tran, Debra F. Laefer, Linh Truong‐Hong, Loc Nguyen, Tahar Kechadi and Miguel Ángel Manso Callejo. Their work appears in journals such as Applied Energy, IEEE Access and Sensors.

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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