Daehan Won
Impact in
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- Industrial Vision Systems and Defect Detection
- Manufacturing Process and Optimization
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
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- Industrial Vision Systems and Defect Detection 22
- Manufacturing Process and Optimization 13
- Advanced Manufacturing and Logistics Optimization 4
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- Electronic Packaging and Soldering Technologies 14
- Co-authors
- Sang Won Yoon (16 shared papers)Sang Won Yoon (15 shared papers)Hongya Lu (8 shared papers)R. Karthik (9 shared papers)R. Menaka (7 shared papers)M. Hariharan (3 shared papers)Seungbae Park (9 shared papers)Haifeng Wang (2 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 StatesIndiaChina
In The Last Decade
Daehan Won
80 papers receiving 1.2k citations
Daehan Won's Hit Papers
Peers
Comparison fields: 5 of 137
- Industrial and Manufacturing Engineering 178
- Management Science and Operations Research 195
- Computer Vision and Pattern Recognition 164
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 143
Countries citing papers authored by Daehan Won
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
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.
All Works
Showing the 20 most-cited of 89 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 Hit paper breakdown → | 2021 | 202 |
| 2 | 2020 | 95 | |
| 3 | 2022 | 57 | |
| 4 | 2018 | 48 | |
| 5 | 2022 | 47 | |
| 6 | 2024 | 42 | |
| 7 | 2018 | 38 | |
| 8 | 2021 | 36 | |
| 9 | 2019 | 34 | |
| 10 | 2021 | 31 | |
| 11 | 2019 | 31 | |
| 12 | 2020 | 27 | |
| 13 | 2020 | 20 | |
| 14 | 2022 | 18 | |
| 15 | 2024 | 18 | |
| 16 | 2023 | 18 | |
| 17 | 2024 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2022 | 18 | |
| 20 | 2021 | 17 |
About Daehan Won
Daehan Won is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (22 papers), Electronic Packaging and Soldering Technologies (14 papers), Manufacturing Process and Optimization (13 papers), AI in cancer detection (5 papers), Smart Agriculture and AI (4 papers), Brain Tumor Detection and Classification (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Metallurgy and Material Forming (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (178 citations), Management Science and Operations Research (195 citations), Computer Vision and Pattern Recognition (164 citations), Health Informatics (10 citations) and Radiology, Nuclear Medicine and Imaging (143 citations). Daehan Won has collaborated with scholars based in United States, India and China. Frequent co-authors include Sang Won Yoon, Sang Won Yoon, Hongya Lu, R. Karthik, R. Menaka, M. Hariharan, Seungbae Park, Haifeng Wang, Ahyeon Koh and Yu Jin. 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.