Xuan‐Qui Pham

20 papers receiving 935 citations

Hit Papers

Artificial intelligence for the metaverse: A survey20222026202320242022100200300

Peers

Xuan‐Qui Pham
Comparison fields: 5 of 85
  • Computer Networks and Communications 596
  • Information Systems 372
  • Electrical and Electronic Engineering 233
  • Computer Vision and Pattern Recognition 170
  • Human-Computer Interaction 154
Replace Pasika Ranaweera with:
Pasika Ranaweera Ireland
Rui Xing China
Jianguo Ding Sweden
Haifeng Shen Australia
Taha Alfakih Saudi Arabia
Gaurang Bansal Singapore
Kuei‐Fang Hsiao Taiwan
Mohamed Jamal Zemerly United Arab Emirates
Tristan Braud Hong Kong
Nazeeruddin Mohammad Saudi Arabia
Xuan‐Qui Pham relative to Pasika Ranaweera Ireland Pasika Ranaweera's profile →
Citations per field
00.5×10×15×18.3×
Pasika Ranaweera · 1×
Citations per year

Countries citing papers authored by Xuan‐Qui Pham

Since Specialization
Citations

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

Fields of papers citing papers by Xuan‐Qui Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuan‐Qui Pham. 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 Xuan‐Qui Pham. The network helps show where Xuan‐Qui Pham may publish in the future.

Co-authorship network of co-authors of Xuan‐Qui Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan‐Qui Pham. A scholar is included among the top collaborators of Xuan‐Qui Pham 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 Xuan‐Qui Pham. Xuan‐Qui Pham 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 0
2 5
3
Artificial intelligence for the metaverse: A surveybreakdown →
378
4 1
5 58
6 15
7 6
8 3
9 36
10 50
11 6
12 64
13 53
14 1
15 19
16 118
17 9
18 1
19 1
20 2

About Xuan‐Qui Pham

Xuan‐Qui Pham is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 974 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (14 papers), Cloud Computing and Resource Management (7 papers) and Blockchain Technology Applications and Security (6 papers). The work is most often cited by research in Human-Computer Interaction (154 citations), Computer Networks and Communications (596 citations) and Information Systems (372 citations). Xuan‐Qui Pham has collaborated with scholars based in South Korea, Vietnam and Australia. Frequent co-authors include Eui‐Nam Huh, Thien Huynh‐The, Dong‐Seong Kim, Quoc‐Viet Pham, Thanh Thi Nguyen, Zhu Han, VanDung Nguyen, Tien-Dung Nguyen, T. D. Nguyen and Md. Delowar Hossain. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Applied Sciences and IEEE Communications Letters.

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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