Van Su Luong

568 total citations
45 papers, 412 citations indexed

About

Van Su Luong is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Mechanical Engineering. According to data from OpenAlex, Van Su Luong has authored 45 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 15 papers in Atomic and Molecular Physics, and Optics and 15 papers in Mechanical Engineering. Recurrent topics in Van Su Luong's work include Magnetic Field Sensors Techniques (22 papers), Non-Destructive Testing Techniques (15 papers) and Magnetic properties of thin films (11 papers). Van Su Luong is often cited by papers focused on Magnetic Field Sensors Techniques (22 papers), Non-Destructive Testing Techniques (15 papers) and Magnetic properties of thin films (11 papers). Van Su Luong collaborates with scholars based in Vietnam, Taiwan and South Korea. Van Su Luong's co-authors include Jen-Tzong Jeng, Chih‐Cheng Lu, Minhhuy Le, Jen‐Hwa Hsu, Ching‐Ray Chang, Hong Ha Thi Vu, Ngoc Hung Vu, Van‐Duong Dao, Adel Ouannas and Giuseppe Grassi and has published in prestigious journals such as Journal of Applied Physics, Sensors and Review of Scientific Instruments.

In The Last Decade

Van Su Luong

43 papers receiving 399 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Van Su Luong Vietnam 12 214 132 108 58 56 45 412
Guopeng Zhou China 13 273 1.3× 37 0.3× 38 0.4× 43 0.7× 35 0.6× 60 599
Guozheng Li China 13 168 0.8× 68 0.5× 96 0.9× 64 1.1× 10 0.2× 40 429
Zhiyong Shi China 11 158 0.7× 48 0.4× 28 0.3× 45 0.8× 10 0.2× 39 357
Bing Luo China 14 361 1.7× 63 0.5× 59 0.5× 105 1.8× 8 0.1× 126 669
Ana Antunes Brazil 14 109 0.5× 98 0.7× 38 0.4× 40 0.7× 14 0.3× 53 638
Tùng Lâm Nguyễn Vietnam 11 366 1.7× 93 0.7× 117 1.1× 91 1.6× 6 0.1× 89 727
Vittorio Cecconi Italy 13 313 1.5× 157 1.2× 8 0.1× 81 1.4× 18 0.3× 33 559
Bowen Yu China 11 60 0.3× 80 0.6× 48 0.4× 42 0.7× 5 0.1× 38 391
Yi Shen China 10 107 0.5× 40 0.3× 33 0.3× 63 1.1× 6 0.1× 70 311

Countries citing papers authored by Van Su Luong

Since Specialization
Citations

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

Fields of papers citing papers by Van Su Luong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van Su Luong. 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 Van Su Luong. The network helps show where Van Su Luong may publish in the future.

Co-authorship network of co-authors of Van Su Luong

This figure shows the co-authorship network connecting the top 25 collaborators of Van Su Luong. A scholar is included among the top collaborators of Van Su Luong 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 Van Su Luong. Van Su Luong 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
1.
Luong, Van Su, et al.. (2025). Application of Machine Learning Techniques for Customer Churn Prediction in the Banking Sector. Interdisciplinary Journal of Information Knowledge and Management. 20. 9–9.
2.
Duong, Anh Tuan, et al.. (2025). Morphology and performance of ZnO nanoparticulate for photocatalysis. Journal of Sol-Gel Science and Technology. 115(3). 1391–1403.
3.
Le, Minhhuy, et al.. (2024). Enhancing corrosion detection in pulsed eddy current testing systems through autoencoder-based unsupervised learning. NDT & E International. 146. 103175–103175. 9 indexed citations
4.
Le, Minhhuy & Van Su Luong. (2024). Detection of Corrosion on Aircraft Structures Using an Electromagnetic Testing Sensor and a Spiking Convolutional Neural Network. IEEE Sensors Journal. 24(21). 35572–35579. 2 indexed citations
5.
Kasai, Naoya, et al.. (2024). Development of differential hall sensors for Pulsed Eddy Current Testing using Gaussian pulse excitation. Sensors and Actuators A Physical. 379. 115998–115998. 3 indexed citations
6.
Luong, Van Su, et al.. (2024). Hidden corrosion detection in aircraft structures with a lightweight magnetic convolutional neural network. Nondestructive Testing And Evaluation. 40(5). 1797–1819. 5 indexed citations
7.
Luong, Van Su, et al.. (2023). Convolutional Neural Network on Microcontroller for People Counting using UWB Radar. 29. 151–155. 1 indexed citations
8.
Luong, Van Su, et al.. (2023). Hand Gesture Recognition using MIMO Radar and Lightweight Convolutional Neural Network. 560–565. 2 indexed citations
9.
Hoang, S., et al.. (2023). Deep Learning-based Thickness Measurement With Pulse Eddy Current Testing. 28–33. 1 indexed citations
10.
Jeng, Jen-Tzong, et al.. (2022). Two-Dimensional Position Tracking Using Gradient Magnetic Fields. Sensors. 22(14). 5459–5459. 3 indexed citations
11.
Le, Minhhuy, et al.. (2022). Auto-Detection of Hidden Corrosion in an Aircraft Structure by Electromagnetic Testing: A Machine-Learning Approach. Applied Sciences. 12(10). 5175–5175. 16 indexed citations
12.
Le, Minhhuy, et al.. (2021). Remote anomaly detection and classification of solar photovoltaic modules based on deep neural network. Sustainable Energy Technologies and Assessments. 48. 101545–101545. 66 indexed citations
13.
Luong, Van Su, et al.. (2020). Mechanism of Inverse Magnetoresistance in High-\(T_{a}\) Annealed MnNi/Co/Ag(Cu)/Py Spin Valves. Communications in Physics. 30(3). 279–279. 1 indexed citations
14.
Luong, Van Su. (2020). High-Resolution Pinning GMR Sensors for Extremely Low Frequencies Powered by a Simple Alternating Current–Biased Scheme. Journal of Superconductivity and Novel Magnetism. 34(2). 339–345. 2 indexed citations
15.
Luong, Van Su. (2020). Linearization of Patterned Pinning Spin Valve Devices for Low-Field Applications. Journal of Electronic Materials. 49(10). 6061–6067. 1 indexed citations
16.
Luong, Van Su, et al.. (2020). Electromagnetic Testing of Moisture Separation Reheater Tube based on Multivariate Singular Spectral Analysis. Applied Sciences. 10(11). 3954–3954. 3 indexed citations
17.
Luong, Van Su, et al.. (2018). APPLICATION OF THE FLUX BENDING EFFECT IN AN ACTIVE FLUX-GUIDE FOR LOW-NOISE PLANAR VECTOR TMR MAGNETIC SENSORS. Vietnam Journal of Science and Technology/Science and Technology. 56(6). 714–714. 1 indexed citations
18.
Jeng, Jen-Tzong, et al.. (2017). Miniature Tri-Axis Magnetometer With In-Plane GMR Sensors. IEEE Transactions on Magnetics. 53(11). 1–4. 10 indexed citations
19.
Luong, Van Su, Chih‐Cheng Lu, Jingwen Yang, & Jen-Tzong Jeng. (2017). A novel CMOS transducer for giant magnetoresistance sensors. Review of Scientific Instruments. 88(2). 25004–25004. 7 indexed citations
20.
Jeng, Jen-Tzong, et al.. (2015). Tri-axis magnetometer with in-plane giant magnetoresistance sensors for compass application. Journal of Applied Physics. 117(17). 31 indexed citations

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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