Duc Chien Nguyen

1.0k total citations
25 papers, 798 citations indexed

About

Duc Chien Nguyen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Duc Chien Nguyen has authored 25 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 6 papers in Materials Chemistry. Recurrent topics in Duc Chien Nguyen's work include Gas Sensing Nanomaterials and Sensors (8 papers), Transition Metal Oxide Nanomaterials (5 papers) and Image and Video Quality Assessment (5 papers). Duc Chien Nguyen is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (8 papers), Transition Metal Oxide Nanomaterials (5 papers) and Image and Video Quality Assessment (5 papers). Duc Chien Nguyen collaborates with scholars based in Vietnam, South Korea and China. Duc Chien Nguyen's co-authors include Sanghoon Lee, Jongyoo Kim, Đặng Đức Vượng, Woojae Kim, Nguyễn Hữu Lâm, Cong Tu Nguyen, Vu Xuan Hien, Sewoong Ahn, Masayuki Nogami and Michitaka Ohtaki and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Duc Chien Nguyen

24 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duc Chien Nguyen Vietnam 16 338 268 161 161 147 25 798
Jiwen Cui China 21 229 0.7× 725 2.7× 35 0.2× 226 1.4× 181 1.2× 127 1.5k
C. Liu Singapore 8 85 0.3× 244 0.9× 42 0.3× 176 1.1× 232 1.6× 14 913
Jiankun Li China 15 168 0.5× 720 2.7× 38 0.2× 60 0.4× 355 2.4× 68 1.2k
Zijia Zhang China 23 140 0.4× 1.2k 4.3× 234 1.5× 101 0.6× 328 2.2× 54 1.6k
Ziyun Li United States 16 149 0.4× 460 1.7× 26 0.2× 161 1.0× 81 0.6× 55 729
Xue Bi China 15 245 0.7× 104 0.4× 29 0.2× 107 0.7× 189 1.3× 29 841
Sujuan Liu China 14 64 0.2× 231 0.9× 65 0.4× 155 1.0× 84 0.6× 83 586
Jingwen He China 14 149 0.4× 282 1.1× 88 0.5× 74 0.5× 122 0.8× 53 602
Hang Su China 9 54 0.2× 309 1.2× 11 0.1× 132 0.8× 179 1.2× 19 532

Countries citing papers authored by Duc Chien Nguyen

Since Specialization
Citations

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

Fields of papers citing papers by Duc Chien Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duc Chien Nguyen. 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 Duc Chien Nguyen. The network helps show where Duc Chien Nguyen may publish in the future.

Co-authorship network of co-authors of Duc Chien Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Duc Chien Nguyen. A scholar is included among the top collaborators of Duc Chien Nguyen 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 Duc Chien Nguyen. Duc Chien Nguyen 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.
Nguyen, Duc Chien, et al.. (2023). Double reverse diffusion for realistic garment reconstruction from images. Engineering Applications of Artificial Intelligence. 127. 107404–107404. 4 indexed citations
2.
Nguyen, Duc Chien, Woojae Kim, Jongyoo Kim, et al.. (2022). Single-Image 3-D Reconstruction: Rethinking Point Cloud Deformation. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6613–6627. 10 indexed citations
3.
Nguyen, Cong Tu, et al.. (2021). Ultralow-detection limit ammonia gas sensors at room temperature based on MWCNT/WO3 nanocomposite and effect of humidity. Solid State Sciences. 113. 106534–106534. 62 indexed citations
4.
Kim, Woojae, Duc Chien Nguyen, Jinwoo Kim, et al.. (2021). Diverse and Adjustable Versatile Image Enhancer. IEEE Access. 9. 80883–80896. 1 indexed citations
5.
Lâm, Nguyễn Hữu, et al.. (2020). Tungsten Oxide Nanoplates: Facile Synthesis, Controllable Oxygen Deficiency and Photocatalytic Activity. Communications in Physics. 30(4). 319–319. 18 indexed citations
6.
Dao, Van‐Duong, Duc Chien Nguyen, & W. Stręk. (2020). Enthusiastic discussions on solid physic and material science at SPMS2019. Science and Technology Development Journal. 23(2). First–First. 6 indexed citations
7.
Kim, Woojae, Duc Chien Nguyen, Sanghoon Lee, & Alan C. Bovik. (2020). Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment. IEEE Transactions on Image Processing. 29. 4219–4231. 47 indexed citations
8.
Nguyen, Duc Chien, et al.. (2019). GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion. 8627–8636. 28 indexed citations
9.
Kim, Woojae, Sewoong Ahn, Duc Chien Nguyen, et al.. (2019). Modern trends on quality of experience assessment and future work. APSIPA Transactions on Signal and Information Processing. 8(1). 6 indexed citations
10.
Nguyen, Duc Chien, et al.. (2019). Point Cloud Deformation for Single Image 3d Reconstruction. 2379–2383. 15 indexed citations
11.
Nguyen, Duc Chien, et al.. (2019). A Simple Way of Multimodal and Arbitrary Style Transfer. 1752–1756. 11 indexed citations
12.
Nguyen, Duc Chien, et al.. (2019). Distribution Padding in Convolutional Neural Networks. 4275–4279. 18 indexed citations
13.
Nguyen, Cong Tu, et al.. (2019). Enhancement of the NH 3 gas sensitivity by using the WO 3 /MWCNT composite-based sensors*. Advances in Natural Sciences Nanoscience and Nanotechnology. 10(1). 15001–15001. 12 indexed citations
14.
Kim, Jongyoo, Duc Chien Nguyen, & Sanghoon Lee. (2018). Deep CNN-Based Blind Image Quality Predictor. IEEE Transactions on Neural Networks and Learning Systems. 30(1). 11–24. 231 indexed citations
15.
Kim, Jongyoo, Duc Chien Nguyen, Sewoong Ahn, Chong Luo, & Sanghoon Lee. (2018). Multiple Level Feature-Based Universal Blind Image Quality Assessment Model. 291–295. 26 indexed citations
16.
Vượng, Đặng Đức, et al.. (2015). Hydrothermal synthesis and NH 3 gas sensing property of WO 3 nanorods at low temperature. Advances in Natural Sciences Nanoscience and Nanotechnology. 6(3). 35006–35006. 57 indexed citations
17.
Nguyen, Thi Thuy Van, et al.. (2011). Dispersion of denatured carbon nanotubes by using a dimethylformamide solution. Advances in Natural Sciences Nanoscience and Nanotechnology. 2(3). 35015–35015. 47 indexed citations
18.
Hien, Vu Xuan, et al.. (2010). The influence of hydrothermal temperature on SnO 2 nanorod formation. Advances in Natural Sciences Nanoscience and Nanotechnology. 1(2). 25010–25010. 19 indexed citations
19.
Nguyen, Duc Chien, et al.. (2010). Chemical synthesis and characterization of palladium nanoparticles. Advances in Natural Sciences Nanoscience and Nanotechnology. 1(3). 35012–35012. 72 indexed citations
20.
Nguyen, Duc Chien, et al.. (1995). Spin-On-Glass (SOG) materials and applications. Data Archiving and Networked Services (DANS). 191–194. 1 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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