L. Minh Dang

3.6k total citations · 2 hit papers
71 papers, 2.5k citations indexed

About

L. Minh Dang is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Civil and Structural Engineering. According to data from OpenAlex, L. Minh Dang has authored 71 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 17 papers in Plant Science and 14 papers in Civil and Structural Engineering. Recurrent topics in L. Minh Dang's work include Smart Agriculture and AI (17 papers), Infrastructure Maintenance and Monitoring (13 papers) and Water Systems and Optimization (10 papers). L. Minh Dang is often cited by papers focused on Smart Agriculture and AI (17 papers), Infrastructure Maintenance and Monitoring (13 papers) and Water Systems and Optimization (10 papers). L. Minh Dang collaborates with scholars based in South Korea, Vietnam and China. L. Minh Dang's co-authors include Hyeonjoon Moon, Hanxiang Wang, Md. Jalil Piran, Kyungbok Min, Yanfen Li, Hyeonjoon Moon, Dongil Han, Tan N. Nguyen, Syed Ibrahim Hassan and Hyoung‐Kyu Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

L. Minh Dang

64 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sensor-based and vision-based human activity recognition: A comprehensive survey

2020 472 citations L. Minh Dang, Kyungbok Min et al. profile →
A Survey on Internet of Things and Cloud Computing for Healthcare

2019 373 citations L. Minh Dang, Dongil Han et al. Electronics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
L. Minh Dang	830	532	357	326	315	71	2.5k
Hyeonjoon Moon	957 1.2×	596 1.1×	303 0.8×	504 1.5×	351 1.1×	91	3.0k
Muhammad Shoaib	1.3k 1.6×	276 0.5×	441 1.2×	378 1.2×	468 1.5×	67	2.7k
Erdal Kayacan	800 1.0×	308 0.6×	369 1.0×	285 0.9×	1.2k 3.7×	149	4.5k
Argel A. Bandala	685 0.8×	105 0.2×	180 0.5×	777 2.4×	255 0.8×	389	3.1k
Qi Zhao	1.4k 1.7×	115 0.2×	302 0.8×	116 0.4×	413 1.3×	79	2.7k
Annalisa Milella	493 0.6×	175 0.3×	187 0.5×	472 1.4×	82 0.3×	88	1.6k
Hongbo Gao	1.1k 1.3×	189 0.4×	158 0.4×	52 0.2×	407 1.3×	163	3.5k
Gabriel Villarrubia González	294 0.4×	143 0.3×	337 0.9×	78 0.2×	293 0.9×	102	1.7k
Joon Huang Chuah	458 0.6×	305 0.6×	88 0.2×	62 0.2×	496 1.6×	116	2.2k
Paolo Napoletano	1.4k 1.7×	92 0.2×	322 0.9×	116 0.4×	655 2.1×	108	2.7k

Countries citing papers authored by L. Minh Dang

Since Specialization

Citations

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

Fields of papers citing papers by L. Minh Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Minh Dang

This figure shows the co-authorship network connecting the top 25 collaborators of L. Minh Dang. A scholar is included among the top collaborators of L. Minh Dang 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 L. Minh Dang. L. Minh Dang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nguyen, Andy, et al.. (2025). Sewer pipeline condition assessment and defect detection using computer vision. Automation in Construction. 179. 106479–106479. 1 indexed citations

Wang, Hanxiang, Yanfen Li, Tan N. Nguyen, & L. Minh Dang. (2025). Residual-like multi-kernel block and dynamic attention for deep neural networks. Engineering Applications of Artificial Intelligence. 148. 110456–110456.

Dang, L. Minh, et al.. (2025). Exploring the prospects and challenges of petrophysics research from the perspective of materials physics. ADVANCES IN GEO-ENERGY RESEARCH. 16(2). 95–98.

Li, Yanfen, et al.. (2025). End-to-end plant disease detection using transformers with collaborative hybrid assignment training. Applied Soft Computing. 186. 114137–114137.

Dang, L. Minh, et al.. (2025). DLAN: A dual attention network for effective land cover classification in remote sensing. Knowledge-Based Systems. 319. 113620–113620. 5 indexed citations

Tightiz, Lilia, L. Minh Dang, Sanjeevikumar Padmanaban, & Kyeon Hur. (2024). Metaverse-driven smart grid architecture. Energy Reports. 12. 2014–2025. 9 indexed citations

Dang, L. Minh, et al.. (2024). An efficient zero-labeling segmentation approach for pest monitoring on smartphone-based images. European Journal of Agronomy. 160. 127331–127331. 4 indexed citations

Choi, Jinwoo, et al.. (2024). Background debiased class incremental learning for video action recognition. Image and Vision Computing. 151. 105295–105295. 1 indexed citations

Khan, Asma, et al.. (2024). AI-Enabled Crop Management Framework for Pest Detection Using Visual Sensor Data. Plants. 13(5). 653–653. 11 indexed citations

10.

Tanveer, Jawad, et al.. (2024). BayesNet: Enhancing UAV-Based Remote Sensing Scene Understanding with Quantifiable Uncertainties. Remote Sensing. 16(5). 925–925. 6 indexed citations

11.

Arefin, Md. Shamsul, et al.. (2024). A Gaussian Process-Enhanced Non-Linear Function and Bayesian Convolution–Bayesian Long Term Short Memory Based Ultra-Wideband Range Error Mitigation Method for Line of Sight and Non-Line of Sight Scenarios. Mathematics. 12(23). 3866–3866.

12.

Dang, L. Minh, Muhammad Nadeem, Tan N. Nguyen, et al.. (2023). VPBR: An Automatic and Low-Cost Vision-Based Biophysical Properties Recognition Pipeline for Pumpkin. Plants. 12(14). 2647–2647. 5 indexed citations

13.

Dilshad, Naqqash, Norah Saleh Alghamdi, L. Minh Dang, et al.. (2023). Visual Intelligence in Smart Cities: A Lightweight Deep Learning Model for Fire Detection in an IoT Environment. Smart Cities. 6(5). 2245–2259. 10 indexed citations

14.

Dang, L. Minh, Kyungbok Min, Tan N. Nguyen, et al.. (2023). Vision-Based White Radish Phenotypic Trait Measurement with Smartphone Imagery. Agronomy. 13(6). 1630–1630. 10 indexed citations

15.

Dang, L. Minh, Hanxiang Wang, Yanfen Li, et al.. (2023). Lightweight pixel-level semantic segmentation and analysis for sewer defects using deep learning. Construction and Building Materials. 371. 130792–130792. 22 indexed citations

16.

Dang, L. Minh, et al.. (2022). Robust Sewer Defect Detection With Text Analysis Based on Deep Learning. IEEE Access. 10. 46224–46237. 29 indexed citations

17.

Nguyen, Tan N., L. Minh Dang, Jaehong Lee, & Van Pho Nguyen. (2022). Load-Carrying Capacity of Ultra-Thin Shells with and without CNTs Reinforcement. Mathematics. 10(9). 1481–1481. 13 indexed citations

18.

Nguyen, Tan N., et al.. (2022). Deep learned one‐iteration nonlinear solver for solid mechanics. International Journal for Numerical Methods in Engineering. 123(8). 1841–1860. 12 indexed citations

19.

Dang, L. Minh, et al.. (2021). Multiple Object Tracking in Deep Learning Approaches: A Survey. Electronics. 10(19). 2406–2406. 27 indexed citations

20.

Li, Yanfen, Hanxiang Wang, L. Minh Dang, et al.. (2020). A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving. IEEE Access. 8. 194228–194239. 95 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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