Moon-Il Joo

688 citations
25 papers · 370 indexed · 1 hit paper · h-index 9
Topics
Blockchain Technology Applications and Security (9 papers)IoT and Edge/Fog Computing (3 papers)Privacy-Preserving Technologies in Data (3 papers)
Partner nations
South KoreaIndiaCanada

In The Last Decade

Moon-Il Joo

24 papers receiving 350 citations

Hit Papers

Metaverse in Healthcare Integrated with Explainable AI an...202320262024202520234080120

Peers

Moon-Il Joo
Comparison fields: 5 of 83
  • Information Systems 129
  • Artificial Intelligence 98
  • Computer Networks and Communications 64
  • Human-Computer Interaction 40
  • Biomedical Engineering 38
Replace Md Ariful Islam Mozumder with:
Md Ariful Islam Mozumder South Korea
Pawan Hegde India
Amro Najjar Luxembourg
Stephan Krusche Germany
Md Rafiqul Islam Australia
Soha Rawas Lebanon
Aniello Minutolo Italy
Pornchai Mongkolnam Thailand
Clauirton Siebra Brazil
Wadha Labda Qatar
Moon-Il Joo relative to Md Ariful Islam Mozumder South Korea Md Ariful Islam Mozumder's profile →
Citations per field
00.5×2.5×
Md Ariful Islam Mozumder · 1×
Citations per year

Countries citing papers authored by Moon-Il Joo

Since Specialization
Citations

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

Fields of papers citing papers by Moon-Il Joo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moon-Il Joo

This figure shows the co-authorship network connecting the top 25 collaborators of Moon-Il Joo. A scholar is included among the top collaborators of Moon-Il Joo 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 Moon-Il Joo. Moon-Il Joo 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 1
3 7
4 22
5 3
6 7
7
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Securitybreakdown →
121
8 4
9 8
10 33
11 12
12 22
13 45
14 3
15 0
16 29
17 21
18 1
19 2
20 1

About Moon-Il Joo

Moon-Il Joo is a scholar working on Health Informatics, Health Information Management and Information Systems, having authored 25 papers that have together received 370 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (9 papers), IoT and Edge/Fog Computing (3 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Health Informatics (32 citations), Human-Computer Interaction (40 citations) and Information Systems (129 citations). Moon-Il Joo has collaborated with scholars based in South Korea, India and Canada. Frequent co-authors include Hee‐Cheol Kim, Satyabrata Aich, Ali Hussain, Sikandar Ali, Tagne Poupi Theodore Armand, Ali Athar, Abdullah, Muhammad Yaseen, Md Ariful Islam Mozumder and Sabyasachi Chakraborty. Their work appears in journals such as IEEE Access, Sensors and Nutrients.

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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2026