In-Ho Ra

2.6k citations
114 papers · 1.9k · 2 hit papers · h-index 21

Impact in

Papers in

In-Ho Ra

99 papers receiving 1.8k citations

In-Ho Ra's Hit Papers

Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model 2020 · 273 citations
2730+2+4Years since publication100200300

Peers

In-Ho Ra
Comparison fields: 5 of 120
  • Health Information Management 125
  • Computer Networks and Communications 683
  • Health Informatics 29
  • Information Systems 488
  • Media Technology 111
Replace A. M. Rıad with:
A. M. Rıad Egypt
Arpit Jain India
Muhammad Muzammal Pakistan
Muhammad Bilal South Korea
Saeed Ali Bahaj Saudi Arabia
Muhammad Faheem Pakistan
Mashael Maashi Saudi Arabia
Bhisham Sharma India
Rabindra Nath Shaw India
Ankush Ghosh India
In-Ho Ra relative to A. M. Rıad Egypt A. M. Rıad's profile →
Citations per field
00.5×2×4×5.6×
A. M. Rıad · 1×
Citations per year

Countries citing papers authored by In-Ho Ra

Since Specialization
Citations

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

Fields of papers citing papers by In-Ho Ra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Ho Ra. 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 In-Ho Ra. The network helps show where In-Ho Ra may publish in the future.

Co-authors

The 25 scholars most cited alongside In-Ho Ra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with In-Ho Ra Line = papers co-authored together In-Ho Ra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city
Hit paper breakdown →
2020385
2
Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model
Hit paper breakdown →
2020273
3 2019118
4 202090
5 202362
6 202054
7 202053
8 201148
9 202046
10 202044
11 202141
12 202240
13 202333
14 202032
15 202129
16 202329
17 202227
18 201527
19 202123
20 202122

About In-Ho Ra

In-Ho Ra is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (14 papers), Mobile Ad Hoc Networks (14 papers), Energy Efficient Wireless Sensor Networks (11 papers), Software-Defined Networks and 5G (11 papers), Cooperative Communication and Network Coding (10 papers), Microgrid Control and Optimization (8 papers), Advanced MIMO Systems Optimization (8 papers) and Network Security and Intrusion Detection (8 papers). The work is most often cited by research in Health Information Management (125 citations), Computer Networks and Communications (683 citations), Health Informatics (29 citations), Information Systems (488 citations) and Media Technology (111 citations). In-Ho Ra has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Saurabh Singh, Gihwan Cho, Pradip Kumar Sharma, Byungun Yoon, Mohammad Shojafar, A. S. M. Sanwar Hosen, Thippa Reddy Gadekallu, Mamoun Alazab, Praveen Kumar Reddy Maddikunta and Neelu Khare. Their work appears in journals such as IEEE Access, Electronics, Sensors, Energies and Applied Sciences.

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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