Ngoc-Tam Bui

561 citations
55 papers · 308 indexed · h-index 10
Topics
Prosthetics and Rehabilitation Robotics (7 papers)Advanced machining processes and optimization (6 papers)Robotic Path Planning Algorithms (5 papers)
Partner nations
VietnamJapanIndia

In The Last Decade

Ngoc-Tam Bui

48 papers receiving 296 citations

Peers

Ngoc-Tam Bui
Comparison fields: 5 of 61
  • Mechanical Engineering 79
  • Control and Systems Engineering 73
  • Computer Vision and Pattern Recognition 64
  • Biomedical Engineering 60
  • Automotive Engineering 52
Replace Jaesung Oh with:
Jaesung Oh South Korea
Arockia Selvakumar Arockia Doss India
Ľubica Miková Slovakia
Jonas Zehnder Canada
Qinghua Lu China
H. Tourajizadeh Iran
Adam Idźkowski Poland
Abdullah Çakan Türkiye
Saša Ćuković Serbia
Long-Jyi Yeh Taiwan
Ngoc-Tam Bui relative to Jaesung Oh South Korea Jaesung Oh's profile →
Citations per field
00.5×4.2×
Jaesung Oh · 1×
Citations per year

Countries citing papers authored by Ngoc-Tam Bui

Since Specialization
Citations

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

Fields of papers citing papers by Ngoc-Tam Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ngoc-Tam Bui. 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 Ngoc-Tam Bui. The network helps show where Ngoc-Tam Bui may publish in the future.

Co-authorship network of co-authors of Ngoc-Tam Bui

This figure shows the co-authorship network connecting the top 25 collaborators of Ngoc-Tam Bui. A scholar is included among the top collaborators of Ngoc-Tam Bui 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 Ngoc-Tam Bui. Ngoc-Tam Bui 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 0
3 6
4 0
5 6
6 7
7 1
8 2
9 1
10 17
11 8
12 0
13 2
14 2
15 9
16 35
17 0
18 25
19 5
20 1

About Ngoc-Tam Bui

Ngoc-Tam Bui is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 308 indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (7 papers), Advanced machining processes and optimization (6 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Automotive Engineering (52 citations), Control and Systems Engineering (73 citations) and Computer Vision and Pattern Recognition (64 citations). Ngoc-Tam Bui has collaborated with scholars based in Vietnam, Japan and India. Frequent co-authors include Kazuto Yukita, Hiroshi Hasegawa, Duc‐Toan Nguyen, Hieu Pham, Trung Kien Nguyen, Nguyen Huu Phan, Shailesh Shirguppikar, Van-Anh Nguyen, Hiroshi Hasegawa and Vũ Văn Quang. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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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