Yuto Lim

1.8k citations
150 papers · 1.1k indexed · h-index 13

Yuto Lim

126 papers receiving 1.0k citations

Peers

Yuto Lim
Comparison fields: 5 of 117
  • Computer Networks and Communications 405
  • Computer Vision and Pattern Recognition 178
  • Information Systems 165
  • Information Systems and Management 44
  • Electrical and Electronic Engineering 340
Replace Fayez Alqahtani with:
Fayez Alqahtani Saudi Arabia
Evangelos Pournaras Switzerland
Subarna Shakya Nepal
Mohd Fadzil Hassan Malaysia
Luı́s Sánchez Spain
Konstantinos Demestichas Greece
Prabhat Kumar India
Mohsen Marjani Malaysia
Hairulnizam Mahdin Malaysia
Ernesto Expósito France
Yuto Lim relative to Fayez Alqahtani Saudi Arabia Fayez Alqahtani's profile →
Citations per field
00.5×6.7×
Fayez Alqahtani · 1×
Citations per year

Countries citing papers authored by Yuto Lim

Since Specialization
Citations

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

Fields of papers citing papers by Yuto Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yuto Lim, 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 Yuto Lim Line = papers co-authored together Yuto Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 202414
4 20245
5 20240
6 20231
7 20233
8 20232
9 20225
10 20211
11 20211
12 20198
13 20195
14 20186
15 20184
16 20183
17 201410
18
Does the Network Coding Technique Work Well for Congestion Control in Wireless Sensor Networks
20121
19
B-19-15 The Effective Combination of Home Sensor Data and Human Posture Data for Human Activity Recognition
20121
20 20073

About Yuto Lim

Yuto Lim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 150 papers that have together received 1.1k indexed citations. Recurring topics across this work include Smart Grid Energy Management (26 papers), Context-Aware Activity Recognition Systems (23 papers), Cooperative Communication and Network Coding (21 papers), IoT-based Smart Home Systems (18 papers), Energy Harvesting in Wireless Networks (13 papers), IoT and Edge/Fog Computing (13 papers), Microgrid Control and Optimization (13 papers) and Mobile Ad Hoc Networks (12 papers). The work is most often cited by research in Computer Networks and Communications (405 citations), Computer Vision and Pattern Recognition (178 citations) and Information Systems (165 citations). Yuto Lim has collaborated with scholars based in Japan, Thailand and Malaysia. Frequent co-authors include Yasuo Tan, Xudong Wang, Rayner Alfred, Chin, Haviluddin Haviluddin, Joe Henry Obit, Christie Pei-Yee Chin, Mohd Hanafi Ahmad Hijazi, Abdullah Gani and Thepchai Supnithi. Their work appears in journals such as Sensors, Electronics Letters, Energies, Ad Hoc Networks and IEEE Access.

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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