Hung Cao

400 total citations
27 papers, 221 citations indexed

About

Hung Cao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hung Cao has authored 27 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hung Cao's work include IoT and Edge/Fog Computing (7 papers), Context-Aware Activity Recognition Systems (4 papers) and Smart Parking Systems Research (3 papers). Hung Cao is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Context-Aware Activity Recognition Systems (4 papers) and Smart Parking Systems Research (3 papers). Hung Cao collaborates with scholars based in Canada, Australia and Spain. Hung Cao's co-authors include Mónica Wachowicz, Edward Shuryak, Emanuele Carlini, Chiara Renso, Loc Tran, Nhien‐An Le‐Khac, Tahar Kechadi, Loc Nguyen, Linh Truong‐Hong and Miguel Ángel Manso Callejo and has published in prestigious journals such as Applied Energy, IEEE Access and Sensors.

In The Last Decade

Hung Cao

24 papers receiving 214 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hung Cao 84 44 41 33 33 27 221
Liang Zhu 102 1.2× 57 1.3× 45 1.1× 100 3.0× 7 0.2× 33 260
Chen Luo 99 1.2× 55 1.3× 47 1.1× 33 1.0× 32 290
Mihaela Breaban 19 0.2× 43 1.0× 17 0.4× 181 5.5× 4 0.1× 27 314
Marta Chinnici 51 0.6× 58 1.3× 50 1.2× 30 0.9× 2 0.1× 30 220
Chao Peng 74 0.9× 17 0.4× 85 2.1× 55 1.7× 39 282
Alekha Kumar Mishra 214 2.5× 60 1.4× 79 1.9× 77 2.3× 41 335
Himanshu Rai Goyal 59 0.7× 52 1.2× 30 0.7× 46 1.4× 61 213
Bing Su 137 1.6× 91 2.1× 46 1.1× 50 1.5× 27 250
Haolei Chen 14 0.2× 8 0.2× 64 1.6× 80 2.4× 4 0.1× 13 273
Pingfu Chao 42 0.5× 40 0.9× 14 0.3× 67 2.0× 27 188

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
1.
Nguyen, Loc, et al.. (2024). XEdgeAI: A human-centered industrial inspection framework with data-centric Explainable Edge AI approach. Information Fusion. 116. 102782–102782. 6 indexed citations
5.
Hsu, Ching‐Hsien, et al.. (2023). Big Data Intelligence and Computing. Lecture notes in computer science. 2 indexed citations
6.
8.
Cao, Hung, et al.. (2020). Discovering EV Recharging Patterns through an Automated Analytical Workflow. NPARC. 1–8. 4 indexed citations
9.
Cao, Hung & Mónica Wachowicz. (2020). A Holistic Overview of Anticipatory Learning for the Internet of Moving Things: Research Challenges and Opportunities. ISPRS International Journal of Geo-Information. 9(4). 272–272. 6 indexed citations
10.
Cao, Hung, et al.. (2019). Lessons Learned from Integrating Batch and Stream Processing using IoT Data. 32–34. 4 indexed citations
11.
Cao, Hung & Mónica Wachowicz. (2019). Analytics Everywhere for Streaming IoT Data. 18–25. 5 indexed citations
12.
Cao, Hung, Mónica Wachowicz, Chiara Renso, & Emanuele Carlini. (2019). Analytics Everywhere: Generating Insights From the Internet of Things. IEEE Access. 7. 71749–71769. 26 indexed citations
13.
Cao, Hung & Mónica Wachowicz. (2019). An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications. Sensors. 19(16). 3594–3594. 27 indexed citations
14.
Cao, Hung & Mónica Wachowicz. (2018). The design of an IoT-GIS platform for performing automated analytical tasks. Computers Environment and Urban Systems. 74. 23–40. 26 indexed citations
15.
Cao, Hung, et al.. (2017). Developing an edge analytics platform for analyzing real-time transit data streams.. arXiv (Cornell University). 4 indexed citations
16.
Cao, Hung, Simon Lacroix, Félix Ingrand, & Rachid Alami. (2010). Complex Tasks Allocation for Multi Robot Teams under Communication Constraints. 74(2 Pt 1). 174–81. 4 indexed citations
18.
Cao, Hung, et al.. (2004). Distributed supply chain simulation using a generic job running framework. 1305–1312. 2 indexed citations
19.
Cao, Hung & Edward Shuryak. (1997). Dilepton and/or photon production in heavy ion collisions and the QCD phase transition. Physical Review C. 56(1). 453–467. 33 indexed citations
20.
Cao, Hung, et al.. (1985). Catalyst selection important for residuum hydroprocessing. Oil & gas journal. 4 indexed citations

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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