Daehan Won

2.0k citations

90 papers · 1.3k · 1 hit paper · h-index 18

Impact in

Industrial and Manufacturing Engineering top 2%
- Industrial Vision Systems and Defect Detection
- Manufacturing Process and Optimization
Management Science and Operations Research top 5%
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications

Papers in

Industrial and Manufacturing Engineering 31
- Industrial Vision Systems and Defect Detection 23
- Manufacturing Process and Optimization 13
- Advanced Manufacturing and Logistics Optimization 5
Computer Vision and Pattern Recognition 12

Co-authors: Sang Won Yoon (17 shared papers)R. Menaka (13 shared papers)Sang Won Yoon (16 shared papers)Hongya Lu (8 shared papers)R. M. Karthik (9 shared papers)M. Hariharan (3 shared papers)Seungbae Park (9 shared papers)Yu Jin (5 shared papers)
Journals: IEEE Transactions on Components Packaging and Manufacturing Technology (8 papers)The International Journal of Advanced Manufacturing Technology (6 papers)Scientific Reports (4 papers)Knowledge-Based Systems (4 papers)Expert Systems with Applications (3 papers)
Partner nations: United States India China

In The Last Decade

Daehan Won

82 papers receiving 1.3k citations

Daehan Won's Hit Papers

align trajectories log scale

Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process 2021 · 210 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2021 Expert Systems with Applications

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-authors

The 25 scholars most cited alongside Daehan Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daehan Won Line = papers co-authored together Daehan Won links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process Expert Systems with Applications ·Kyung Keun Yun, Sang Won Yoon, Daehan Won Hit paper breakdown →	2021	210
2	Sweat and saliva cortisol response to stress and nutrition factors Scientific Reports ·Paul Pearlmutter, Gia Derose, Cheyenne Samson, Nicholas Linehan, Yuqiao Cen, Lina Begdache, Daehan Won, Ahyeon Koh	2020	101
3	Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection Expert Systems with Applications ·Kyung Keun Yun, Sang Won Yoon, Daehan Won	2022	59
4	Physics-Informed Machine Learning for metal additive manufacturing Progress in Additive Manufacturing ·Abdelrahman Farrag, Yuxin Yang, Nieqing Cao, Daehan Won, Yu Jin	2024	55
5	Contour-enhanced attention CNN for CT-based COVID-19 segmentation Pattern Recognition ·R. M. Karthik, R. Menaka, M. Hariharan, Daehan Won	2022	48
6	Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition Qianqian Zhang, Haifeng Wang, Hongya Lu, Daehan Won, Sang Won Yoon	2018	48
7	A Dual-Tree Complex Wavelet Transform Based Convolutional Neural Network for Human Thyroid Medical Image Segmentation Hongya Lu, Haifeng Wang, Qianqian Zhang, Daehan Won, Sang Won Yoon	2018	39
8	Performance Analysis of Deep Learning Models for Detection of Autism Spectrum Disorder from EEG Signals Traitement du signal ·R. Menaka, Kaustav Choudhury, Daehan Won, Thanga Aarthy Manoharan +1 other	2021	37
9	Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k -nearest neighbors Knowledge-Based Systems ·Jayanth Sivakumar, R. Menaka, Daehan Won +1 other	2021	34
10	A 3D Convolutional Neural Network for Volumetric Image Semantic Segmentation Procedia Manufacturing ·Hongya Lu, Haifeng Wang, Qianqian Zhang, Sang Won Yoon, Daehan Won	2019	34
11	Lung Nodule Diagnosis on 3D Computed Tomography Images Using Deep Convolutional Neural Networks Procedia Manufacturing ·Qianqian Zhang, Haifeng Wang, Sang Won Yoon, Daehan Won, Krishnaswami Srihari	2019	31
12	Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN Computer Methods and Programs in Biomedicine ·R. M. Karthik, R. Menaka, M. Hariharan, Daehan Won	2020	27
13	Multi-modal transformer architecture for medical image analysis and automated report generation Scientific Reports ·Santhosh Raminedi, S. Shridevi, Daehan Won	2024	25
14	An Artificial Intelligence-Based Pick-and-Place Process Control for Quality Enhancement in Surface Mount Technology IEEE Transactions on Components Packaging and Manufacturing Technology ·Jingxi He, Yuqiao Cen, Shrouq M. Alelaumi, Daehan Won	2022	22
15	Healthcare Intelligence: Turning Data into Knowledge IEEE Intelligent Systems ·Hui Yong Yang, O. Erhun Kundakcioglu, Jing Li, Teresa Q. Wu, Joseph Ross Mitchell, Amy K. Hara, William Pavlicek, Leland Hu	2014	22
16	A mixed integer linear programming support vector machine for cost-effective feature selection Knowledge-Based Systems ·In Gyu Lee, Qianqian Zhang, Sang Won Yoon, Daehan Won	2020	21
17	Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology Procedia Manufacturing ·Irandokht Parviziomran, Shun An Cao, Hae-Yong Yang, Seungbae Park, Daehan Won	2019	20
18	GenerativeMTD: A deep synthetic data generation framework for small datasets Knowledge-Based Systems ·Jayanth Sivakumar, R. Menaka, Daehan Won +1 other	2023	20
19	Automatic cell counting from stimulated Raman imaging using deep learning PLoS ONE ·Qianqian Zhang, Kyung Keun Yun, Hao Wang, Sang Won Yoon, Fake Lu, Daehan Won	2021	18
20	Real-time order picking planning framework for warehouses and distribution centres International Journal of Production Research ·Husam Dauod, Daehan Won	2021	18

About Daehan Won

Daehan Won is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (23 papers), Electronic Packaging and Soldering Technologies (14 papers), Manufacturing Process and Optimization (13 papers), Advanced Manufacturing and Logistics Optimization (5 papers), AI in cancer detection (5 papers), Brain Tumor Detection and Classification (4 papers), Smart Agriculture and AI (4 papers) and Metallurgy and Material Forming (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (186 citations), Management Science and Operations Research (200 citations), Health Informatics (12 citations), Computer Vision and Pattern Recognition (168 citations) and Radiology, Nuclear Medicine and Imaging (146 citations). Daehan Won has collaborated with scholars based in United States, India and China. Frequent co-authors include Sang Won Yoon, R. Menaka, Sang Won Yoon, Hongya Lu, R. M. Karthik, M. Hariharan, Seungbae Park, Yu Jin, Ahyeon Koh and Haifeng Wang. Their work appears in journals such as IEEE Transactions on Components Packaging and Manufacturing Technology, The International Journal of Advanced Manufacturing Technology, Scientific Reports, Knowledge-Based Systems and Expert Systems with Applications.

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.

Explore authors with similar magnitude of impact

Daehan Won

Impact in

Papers in i

In The Last Decade

Daehan Won

Daehan Won's Hit Papers

Peers

Countries citing papers authored by Daehan Won

Fields of papers citing papers by Daehan Won

All Works

About Daehan Won

Explore authors with similar magnitude of impact

Papers in