Minh Long Hoang

466 citations
30 papers · 299 indexed · h-index 12
Topics
Inertial Sensor and Navigation (13 papers)Non-Invasive Vital Sign Monitoring (6 papers)Astronomical Observations and Instrumentation (6 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors
Partner nations
ItalyFrance

In The Last Decade

Minh Long Hoang

27 papers receiving 293 citations

Peers

Minh Long Hoang
Comparison fields: 5 of 60
  • Aerospace Engineering 102
  • Electrical and Electronic Engineering 78
  • Computer Vision and Pattern Recognition 73
  • Artificial Intelligence 69
  • Biomedical Engineering 68
Replace Jin Cheng with:
Jin Cheng China
Ke Zhou China
Ao Peng China
Parag Narkhede India
Ghazaleh Panahandeh Sweden
Hai Zhang China
Xiaolong Xu China
Yuexin Zhang China
S. Murugan India
Yongchun Miao China
Minh Long Hoang relative to Jin Cheng China Jin Cheng's profile →
Citations per field
00.5×1.5×2.4×
Jin Cheng · 1×
Citations per year

Countries citing papers authored by Minh Long Hoang

Since Specialization
Citations

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

Fields of papers citing papers by Minh Long Hoang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minh Long Hoang. 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 Minh Long Hoang. The network helps show where Minh Long Hoang may publish in the future.

Co-authorship network of co-authors of Minh Long Hoang

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

About Minh Long Hoang

Minh Long Hoang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 30 papers that have together received 299 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (13 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Astronomical Observations and Instrumentation (6 papers). The work is most often cited by research in Aerospace Engineering (102 citations), Computer Vision and Pattern Recognition (73 citations) and Artificial Intelligence (69 citations). Minh Long Hoang has collaborated with scholars based in Italy and France. Frequent co-authors include Antonio Pietrosanto, Vincenzo Paciello, Marco Carratù, Guido Matrella, Paolo Ciampolini, Nicola Delmonte, P. Cova, C. Svelto, Francesco Casella and Barbara Montanini. Their work appears in journals such as SHILAP Revista de lepidopterología, 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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