Hyeonjoon Moon

4.9k total citations · 2 hit papers
91 papers, 3.0k citations indexed

About

Hyeonjoon Moon is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Civil and Structural Engineering. According to data from OpenAlex, Hyeonjoon Moon has authored 91 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 17 papers in Plant Science and 15 papers in Civil and Structural Engineering. Recurrent topics in Hyeonjoon Moon's work include Smart Agriculture and AI (17 papers), Infrastructure Maintenance and Monitoring (15 papers) and Water Systems and Optimization (10 papers). Hyeonjoon Moon is often cited by papers focused on Smart Agriculture and AI (17 papers), Infrastructure Maintenance and Monitoring (15 papers) and Water Systems and Optimization (10 papers). Hyeonjoon Moon collaborates with scholars based in South Korea, Vietnam and United States. Hyeonjoon Moon's co-authors include L. Minh Dang, Yanfen Li, Hanxiang Wang, P. Jonathon Phillips, Syed A. Rizvi, Dongil Han, Kyungbok Min, Patrick J. Rauss, Md. Jalil Piran and Abolghasem Sadeghi‐Niaraki and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and IEEE Access.

In The Last Decade

Hyeonjoon Moon

82 papers receiving 2.9k 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.

The FERET evaluation methodology for face-recognition algorithms

2002 427 citations Hyeonjoon Moon 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
Hyeonjoon Moon	957	596	504	351	303	91	3.0k
L. Minh Dang	830 0.9×	532 0.9×	326 0.6×	315 0.9×	357 1.2×	71	2.5k
Qinggang Meng	1.7k 1.8×	423 0.7×	173 0.3×	583 1.7×	830 2.7×	168	4.2k
Chengliang Liu	393 0.4×	983 1.6×	1.1k 2.1×	637 1.8×	415 1.4×	253	6.7k
Weikuan Jia	619 0.6×	114 0.2×	1.1k 2.1×	684 1.9×	89 0.3×	128	3.2k
Elmer P. Dadios	1.1k 1.1×	90 0.2×	1.2k 2.3×	500 1.4×	304 1.0×	509	4.5k
Haiyang Yu	241 0.3×	148 0.2×	495 1.0×	441 1.3×	276 0.9×	124	4.8k
Argel A. Bandala	685 0.7×	105 0.2×	777 1.5×	255 0.7×	180 0.6×	389	3.1k
Jair Cervantes	458 0.5×	98 0.2×	123 0.2×	688 2.0×	150 0.5×	48	2.3k
Ahmed Abdelgawad	250 0.3×	144 0.2×	145 0.3×	350 1.0×	620 2.0×	118	1.9k
Asdrúbal López‐Chau	374 0.4×	102 0.2×	125 0.2×	639 1.8×	137 0.5×	61	2.1k

Countries citing papers authored by Hyeonjoon Moon

Since Specialization

Citations

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

Fields of papers citing papers by Hyeonjoon Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeonjoon Moon. 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 Hyeonjoon Moon. The network helps show where Hyeonjoon Moon may publish in the future.

Co-authorship network of co-authors of Hyeonjoon Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeonjoon Moon. A scholar is included among the top collaborators of Hyeonjoon Moon 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 Hyeonjoon Moon. Hyeonjoon Moon 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

Sim, Taeyong, et al.. (2025). A machine learning ensemble framework based on a clustering algorithm for improving electric power consumption performance. Scientific Reports. 15(1). 40172–40172.

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

Moon, Hyeonjoon, et al.. (2024). Enhanced Data Processing and Machine Learning Techniques for Energy Consumption Forecasting. Electronics. 13(19). 3885–3885.

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

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

Alenezi, Fayadh, et al.. (2023). Artificial Humming Bird Optimization with Siamese Convolutional Neural Network Based Fruit Classification Model. Computer Systems Science and Engineering. 47(2). 1633–1650. 5 indexed citations

Chen, Yu, et al.. (2023). Deep Learning Based Underground Sewer Defect Classification Using a Modified RegNet. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5455–5473. 11 indexed citations

10.

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

11.

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

12.

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

13.

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

14.

Abdullah, Muhammad, et al.. (2021). Plant Disease Detection in Imbalanced Datasets Using Efficient Convolutional Neural Networks With Stepwise Transfer Learning. IEEE Access. 9. 140565–140580. 108 indexed citations

15.

Parthiban, Latha, et al.. (2021). An Improved Web Caching System With Locally Normalized User Intervals. IEEE Access. 9. 112490–112501. 2 indexed citations

16.

Devaraj, A. Francis Saviour, G. Murugaboopathi, Mohamed Elhoseny, et al.. (2020). An Efficient Framework for Secure Image Archival and Retrieval System Using Multiple Secret Share Creation Scheme. IEEE Access. 8. 144310–144320. 18 indexed citations

17.

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

18.

Abdullah, Muhammad, et al.. (2020). Image Classification Based on Automatic Neural Architecture Search Using Binary Crow Search Algorithm. IEEE Access. 8. 189891–189912. 19 indexed citations

19.

Moon, Hyeonjoon, et al.. (2019). Optimal Color Correction Based on Image Analysis for Color Vision Deficiency. IEEE Access. 7. 154466–154479. 5 indexed citations

20.

Sajjad, Muhammad, Siraj M. Khan, Zahoor Jan, et al.. (2016). Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities. IEEE Access. 5. 3475–3489. 83 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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