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 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.

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 →

Author Peers

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

Author						Papers	Cites
Daehan Won	229	167	159	151	146	78	1.1k
Na Zou	376 1.6×	81 0.5×	149 0.9×	103 0.7×	64 0.4×	70	1.0k
Prospero C. Naval	357 1.6×	75 0.4×	171 1.1×	87 0.6×	37 0.3×	46	1.1k
H M Dipu Kabir	288 1.3×	96 0.6×	115 0.7×	184 1.2×	22 0.2×	66	911
Abhishek Verma	677 3.0×	122 0.7×	266 1.7×	200 1.3×	19 0.1×	94	1.8k
Liping Xie	512 2.2×	62 0.4×	190 1.2×	294 1.9×	51 0.3×	83	1.3k
Anand Paul	310 1.4×	26 0.2×	279 1.8×	240 1.6×	69 0.5×	73	1.2k
Chirag Patel	255 1.1×	34 0.2×	370 2.3×	84 0.6×	59 0.4×	37	961
Zairi Ismael Rizman	157 0.7×	67 0.4×	105 0.7×	172 1.1×	24 0.2×	122	990
Anikó Ekárt	313 1.4×	31 0.2×	175 1.1×	55 0.4×	99 0.7×	71	1.2k
Hamurabi Gamboa-Rosales	240 1.0×	32 0.2×	263 1.7×	76 0.5×	26 0.2×	112	1.2k

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

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20 of 20 papers shown

Won, Daehan, et al.. (2025). Enhancing knowledge retrieval with in-context learning and semantic search through generative AI. Knowledge-Based Systems. 311. 113047–113047. 7 indexed citations

Won, Daehan, et al.. (2025). Plantention: A general-purpose, lightweight and attention-based model for multi-crop leaf disease classification. Results in Engineering. 26. 105075–105075. 2 indexed citations

Won, Daehan, et al.. (2025). An iterative guided active learning-based approach for real-time sampling in smart manufacturing systems. The International Journal of Advanced Manufacturing Technology.

Won, Daehan, et al.. (2025). An Integrated Multioutput Classification-Based Defect Diagnosis Model for Pick-and-Place Machines. IEEE Transactions on Components Packaging and Manufacturing Technology. 15(4). 842–849.

Li, Yuanyuan, et al.. (2025). Stage-based neural network for reflow profile prediction and reflow recipe optimization for quality and energy-saving. The International Journal of Advanced Manufacturing Technology. 137(3-4). 1745–1757.

Kim, Jae-Woo, et al.. (2025). ThermoDynaSMT: A Physics-Informed Machine Learning Model for Component Displacement in Surface Mount Technology. Journal of Electronic Packaging. 148(3). 1 indexed citations

Won, Daehan, et al.. (2024). The Development and Verification of Flight Control Algorithm for a Lift+Cruise Type Tandem-Wing VTOL Using PX4. Journal of the Korean Society for Aeronautical & Space Sciences. 52(6). 453–461.

Karthik, R., et al.. (2024). GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification. IEEE Access. 12. 19612–19624. 9 indexed citations

Won, Daehan, et al.. (2024). XSCAN: Explainable solder joint defect probability prediction through solder paste printing status with imbalanced data. Journal of Manufacturing Systems. 77. 212–227. 5 indexed citations

10.

Yang, Yuxin, et al.. (2024). Physics-Informed Machine Learning for metal additive manufacturing. Progress in Additive Manufacturing. 10(1). 171–185. 31 indexed citations

11.

Karthik, R., et al.. (2023). HMARNET—A Hierarchical Multi‐Attention Residual Network for Gleason scoring of prostate cancer. International Journal of Imaging Systems and Technology. 34(1). 1 indexed citations

12.

Karthik, R., et al.. (2023). Signal Processing and AI-based Assessment of Rehabilitation Exercises for Diastasis Recti Abdominis. Computer Systems Science and Engineering. 47(1). 333–348. 1 indexed citations

13.

Karthik, R., et al.. (2023). GenerativeMTD: A deep synthetic data generation framework for small datasets. Knowledge-Based Systems. 280. 110956–110956. 14 indexed citations

14.

Karthik, R., R. Menaka, M. Hariharan, & Daehan Won. (2022). Contour-enhanced attention CNN for CT-based COVID-19 segmentation. Pattern Recognition. 125. 108538–108538. 45 indexed citations

15.

Li, Yuanyuan, et al.. (2021). The Dissimilar Self-Alignment Characteristics of Smaller Passive Components in the Length and Width Directions. 34(2). 7–15. 6 indexed citations

16.

Li, Yuanyuan, et al.. (2021). A novel placement method for mini-scale passive components in surface mount technology. The International Journal of Advanced Manufacturing Technology. 115(5-6). 1475–1485. 5 indexed citations

17.

Karthik, R., R. Menaka, M. Hariharan, & Daehan Won. (2020). Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN. Computer Methods and Programs in Biomedicine. 200. 105831–105831. 27 indexed citations

18.

Won, Daehan, et al.. (2020). Navigation Performance Analysis Method for Integrated Navigation System of Small Unmanned Aerial Vehicles. International journal of advanced smart convergence. 9(3). 207–214. 1 indexed citations

19.

Choudhury, Avishek, et al.. (2018). Classification of Cervical Cancer Dataset. SSRN Electronic Journal. 7 indexed citations

20.

Won, Daehan, et al.. (2010). Error Analysis of Vision-Based Navigation System Using GPS DOP Concept. 2285–2289. 3 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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