Daehan Won

1.7k total citations · 1 hit paper
78 papers, 1.1k citations indexed

About

Daehan Won is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daehan Won has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Industrial and Manufacturing Engineering, 14 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daehan Won's work include Industrial Vision Systems and Defect Detection (16 papers), Manufacturing Process and Optimization (10 papers) and Electronic Packaging and Soldering Technologies (9 papers). Daehan Won is often cited by papers focused on Industrial Vision Systems and Defect Detection (16 papers), Manufacturing Process and Optimization (10 papers) and Electronic Packaging and Soldering Technologies (9 papers). Daehan Won collaborates with scholars based in United States, India and China. Daehan Won's co-authors include Sang Won Yoon, R. Karthik, Sang Won Yoon, Hongya Lu, R. Menaka, M. Hariharan, Seungbae Park, Ahyeon Koh, Haifeng Wang and Lina Begdache and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Daehan Won

70 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process

2021 182 citations Sang Won Yoon, Daehan Won et al. profile →

Peers

Countries citing papers authored by Daehan Won

Since Specialization

Citations

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

Fields of papers citing papers by Daehan Won

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daehan Won

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

#	Work	Indexed citations
1	Enhancing knowledge retrieval with in-context learning and semantic search through generative AI 2025 ·Knowledge-Based Systems ·(unknown), (unknown), Daehan Won, (unknown)	7
2	Plantention: A general-purpose, lightweight and attention-based model for multi-crop leaf disease classification 2025 ·Results in Engineering ·(unknown), (unknown), (unknown), Daehan Won	2
3	An iterative guided active learning-based approach for real-time sampling in smart manufacturing systems 2025 ·The International Journal of Advanced Manufacturing Technology ·(unknown), (unknown), (unknown), Daehan Won, (unknown)	0
4	An Integrated Multioutput Classification-Based Defect Diagnosis Model for Pick-and-Place Machines 2025 ·IEEE Transactions on Components Packaging and Manufacturing Technology ·(unknown), (unknown), Daehan Won	0
5	Stage-based neural network for reflow profile prediction and reflow recipe optimization for quality and energy-saving 2025 ·The International Journal of Advanced Manufacturing Technology ·(unknown), Yuanyuan Li, Sang Won Yoon, Daehan Won	0
6	GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification 2024 ·IEEE Access ·R. Karthik, R. Menaka, (unknown), (unknown), (unknown), (unknown), Daehan Won	9
7	The Development and Verification of Flight Control Algorithm for a Lift+Cruise Type Tandem-Wing VTOL Using PX4 2024 ·Journal of the Korean Society for Aeronautical & Space Sciences ·(unknown), Daehan Won, Doyoon Kim, (unknown), JinWoo Lee, (unknown), Inseong Hwang	0
8	XSCAN: Explainable solder joint defect probability prediction through solder paste printing status with imbalanced data 2024 ·Journal of Manufacturing Systems ·(unknown), (unknown), Daehan Won, Sang Won Yoon	5
9	Physics-Informed Machine Learning for metal additive manufacturing 2024 ·Progress in Additive Manufacturing ·(unknown), Yuxin Yang, (unknown), Daehan Won, (unknown)	31
10	Multi-modal transformer architecture for medical image analysis and automated report generation 2024 ·Scientific Reports ·(unknown), (unknown), Daehan Won	15
11	A hybrid model for the classification of Autism Spectrum Disorder using Mu rhythm in EEG 2024 ·Technology and Health Care ·(unknown), R. Karthik, (unknown), (unknown), (unknown), (unknown), Daehan Won	4
12	HMARNET—A Hierarchical Multi‐Attention Residual Network for Gleason scoring of prostate cancer 2023 ·International Journal of Imaging Systems and Technology ·R. Karthik, R. Menaka, (unknown), (unknown), (unknown), Daehan Won	1
13	Signal Processing and AI-based Assessment of Rehabilitation Exercises for Diastasis Recti Abdominis 2023 ·Computer Systems Science and Engineering ·R. Karthik, (unknown), (unknown), Daehan Won, (unknown), (unknown), (unknown), (unknown), (unknown)	1
14	GenerativeMTD: A deep synthetic data generation framework for small datasets 2023 ·Knowledge-Based Systems ·(unknown), R. Karthik, (unknown), Daehan Won	14
15	Contour-enhanced attention CNN for CT-based COVID-19 segmentation 2022 ·Pattern Recognition ·R. Karthik, R. Menaka, M. Hariharan, Daehan Won	45
16	The Dissimilar Self-Alignment Characteristics of Smaller Passive Components in the Length and Width Directions 2021 ·(unknown), (unknown), Yuanyuan Li, Seungbae Park, Daehan Won	6
17	Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN 2020 ·Computer Methods and Programs in Biomedicine ·R. Karthik, R. Menaka, M. Hariharan, Daehan Won	27
18	Navigation Performance Analysis Method for Integrated Navigation System of Small Unmanned Aerial Vehicles 2020 ·International journal of advanced smart convergence ·(unknown), Daehan Won, Dongjin Lee, Doyoon Kim	1
19	Classification of Cervical Cancer Dataset 2018 ·SSRN Electronic Journal ·(unknown), Avishek Choudhury, Daehan Won	7
20	Error Analysis of Vision-Based Navigation System Using GPS DOP Concept 2010 ·Daehan Won, (unknown), Sangkyung Sung, (unknown)	3

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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