Nammee Moon

49 papers receiving 394 citations

Peers

Nammee Moon
Comparison fields: 5 of 97
  • Signal Processing 66
  • Computer Science Applications 23
  • Human-Computer Interaction 23
  • Information Systems 86
  • Artificial Intelligence 113
Replace A. B. M. Alim Al Islam with:
A. B. M. Alim Al Islam Bangladesh
Qiang Ma China
Lukas Lukas Indonesia
Imad Afyouni United Arab Emirates
Yu-Ling Hsueh Taiwan
Kebin Liu China
Sha Zhao China
Asad Masood Khattak United Arab Emirates
Shikun Zhang China
Nammee Moon relative to A. B. M. Alim Al Islam Bangladesh A. B. M. Alim Al Islam's profile →
Citations per field
00.5×3.3×
A. B. M. Alim Al Islam · 1×
Citations per year

Countries citing papers authored by Nammee Moon

Since Specialization
Citations

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

Fields of papers citing papers by Nammee Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Nammee Moon, 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 Nammee Moon Line = papers co-authored together Nammee Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201969
2 201964
3 201946
4 202227
5 202218
6 201117
7 201817
8 201813
9 201210
10 201410
11 20119
12 20118
13 20157
14
The Method for Generating Recommended Candidates through Prediction of Multi-Criteria Ratings Using CNN-BiLSTM
20216
15 20176
16 20186
17 20235
18 20105
19 20105
20 20194

About Nammee Moon

Nammee Moon is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science, Artificial Intelligence and Computer Networks and Communications, having authored 61 papers that have together received 418 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Digital Marketing and Social Media (8 papers), Multimedia Communication and Technology (7 papers), Video Surveillance and Tracking Methods (6 papers), Innovation in Digital Healthcare Systems (6 papers), Technology and Data Analysis (6 papers), Technology Adoption and User Behaviour (4 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Signal Processing (66 citations), Computer Science Applications (23 citations), Human-Computer Interaction (23 citations), Information Systems (86 citations) and Artificial Intelligence (113 citations). Nammee Moon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jinah Kim, Jung-Min Oh, Sangjin Hong, Seong‐Jun Oh, Jihoon Lee, Kihoon Lee, Min Hong, Jungwon Lee, Doo-Soon Park and Mihui Kim. Their work appears in journals such as Multimedia Tools and Applications, Applied Sciences, Journal of Ambient Intelligence and Humanized Computing, Sensors and Computers, materials & continua/Computers, materials & continua (Print).

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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