Ya‐Han Hu

5.6k total citations · 2 hit papers
109 papers, 3.8k citations indexed

About

Ya‐Han Hu is a scholar working on Artificial Intelligence, Information Systems and Epidemiology. According to data from OpenAlex, Ya‐Han Hu has authored 109 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 29 papers in Information Systems and 17 papers in Epidemiology. Recurrent topics in Ya‐Han Hu's work include Data Mining Algorithms and Applications (21 papers), Acute Ischemic Stroke Management (15 papers) and Rough Sets and Fuzzy Logic (13 papers). Ya‐Han Hu is often cited by papers focused on Data Mining Algorithms and Applications (21 papers), Acute Ischemic Stroke Management (15 papers) and Rough Sets and Fuzzy Logic (13 papers). Ya‐Han Hu collaborates with scholars based in Taiwan, United States and China. Ya‐Han Hu's co-authors include Chih‐Fong Tsai, Wei‐Chao Lin, Yen‐Liang Chen, Kuanchin Chen, Sheng‐Feng Sung, Chia‐Lun Lo, Wei-Yang Lin, Sheng-Pao Shih, Pei-Ju Lee and Huey-Juan Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Business Research.

In The Last Decade

Ya‐Han Hu

104 papers receiving 3.6k 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.

Clustering-based undersampling in class-imbalanced data

2017 566 citations Chih‐Fong Tsai, Ya‐Han Hu et al. profile →
Under-sampling class imbalanced datasets by combining clustering analysis and instance selection

2018 236 citations Chih‐Fong Tsai, Ya‐Han Hu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ya‐Han Hu Taiwan	30	1.7k	623	553	387	360	109	3.8k
Yong Hu China	33	1.3k 0.8×	449 0.7×	194 0.4×	82 0.2×	126 0.3×	119	4.5k
Shuai Ding China	33	706 0.4×	786 1.3×	512 0.9×	152 0.4×	75 0.2×	138	3.3k
Chih‐Fong Tsai Taiwan	43	3.8k 2.3×	937 1.5×	206 0.4×	487 1.3×	68 0.2×	141	7.8k
Stefan Feuerriegel Germany	30	1.2k 0.7×	355 0.6×	617 1.1×	92 0.2×	107 0.3×	172	4.0k
Sally McClean United Kingdom	38	1.0k 0.6×	551 0.9×	103 0.2×	64 0.2×	211 0.6×	371	5.6k
Aytuğ Onan Türkiye	27	2.9k 1.7×	769 1.2×	278 0.5×	67 0.2×	88 0.2×	96	4.5k
Paulo Lisböa United Kingdom	31	1.1k 0.6×	220 0.4×	172 0.3×	148 0.4×	211 0.6×	181	3.6k
Uzay Kaymak Netherlands	34	2.1k 1.3×	564 0.9×	152 0.3×	174 0.4×	60 0.2×	250	4.3k
Dan Steinberg United States	8	1.8k 1.1×	886 1.4×	126 0.2×	185 0.5×	61 0.2×	15	4.3k
Charles X. Ling Canada	29	3.3k 2.0×	1.2k 1.9×	93 0.2×	142 0.4×	99 0.3×	131	5.7k

Countries citing papers authored by Ya‐Han Hu

Since Specialization

Citations

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

Fields of papers citing papers by Ya‐Han Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Han Hu. 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 Ya‐Han Hu. The network helps show where Ya‐Han Hu may publish in the future.

Co-authorship network of co-authors of Ya‐Han Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Han Hu. A scholar is included among the top collaborators of Ya‐Han Hu 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 Ya‐Han Hu. Ya‐Han Hu 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

Wang, Zhe, et al.. (2025). Hybrid AC/DC Transmission Grid Planning Based on Improved Multi-Step Backtracking Reinforcement Learning. Processes. 14(1). 11–11.

Hu, Ya‐Han, et al.. (2025). Handling Class Imbalanced Data in Sarcasm Detection with Ensemble Oversampling Techniques. Applied Artificial Intelligence. 39(1). 1 indexed citations

Zhou, Jie, Wentao Huang, Ya‐Han Hu, et al.. (2025). Best evidence summary for nutritional management of cancer patients with chyle leaks following surgery. Frontiers in Nutrition. 11. 1478190–1478190. 1 indexed citations

Hu, Ya‐Han, Chih‐Fong Tsai, & Yu Sun. (2024). A novel hotel recommender system incorporating review sentiment and contextual information. International Journal of Data Science and Analytics. 19(3). 573–584. 1 indexed citations

Tao, Fangbiao, et al.. (2021). Correction: Social distancing among medical students during the 2019 coronavirus disease pandemic in china: Disease awareness, anxiety disorder, depression, and behavioral activities (Int. j. environ. res. public health, (2020), 17, 10.3390/ijerph17145047). International Journal of Environmental Research and Public Health. 18(1). 1–2. 7 indexed citations

Hu, Ya‐Han, et al.. (2020). Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques. CIN Computers Informatics Nursing. 38(8). 415–423. 31 indexed citations

Hu, Ya‐Han, Kuanchin Chen, I‐Chiu Chang, & Cheng‐Che Shen. (2020). Critical Predictors for the Early Detection of Conversion From Unipolar Major Depressive Disorder to Bipolar Disorder: Nationwide Population-Based Retrospective Cohort Study. JMIR Medical Informatics. 8(4). e14278–e14278. 14 indexed citations

Lee, Pei-Ju, et al.. (2018). Cyberbullying Detection on Social Network Services. Journal of the Association for Information Systems. 4 indexed citations

Hu, Ya‐Han, et al.. (2016). HOTEL RECOMMENDATION SYSTEM BASED ON REVIEW AND CONTEXT INFORMATION: A COLLABORATIVE FILTERING APPRO. Pacific Asia Conference on Information Systems. 221. 9 indexed citations

10.

Sung, Sheng‐Feng, Cheng-Yang Hsieh, Ya‐Han Hu, et al.. (2016). Validation of a novel claims-based stroke severity index in patients with intracerebral hemorrhage. Journal of Epidemiology. 27(1). 24–29. 51 indexed citations

11.

Sung, Sheng‐Feng, Cheng-Yang Hsieh, Huey-Juan Lin, et al.. (2016). Validity of a stroke severity index for administrative claims data research: a retrospective cohort study. BMC Health Services Research. 16(1). 509–509. 70 indexed citations

12.

Sung, Sheng‐Feng, et al.. (2015). Predicting Factors and Risk Stratification for Return Visits to the Emergency Department Within 72 Hours in Pediatric Patients. Pediatric Emergency Care. 31(12). 819–824. 23 indexed citations

13.

Chiu, Chiung‐Hsuan, et al.. (2013). An empirical study on the factors influencing the turnover intention of dentists in hospitals in Taiwan. Journal of Dental Sciences. 9(4). 332–344. 40 indexed citations

14.

Hu, Ya‐Han, et al.. (2012). Predicting warfarin dosage from clinical data: A supervised learning approach. Artificial Intelligence in Medicine. 56(1). 27–34. 40 indexed citations

15.

Hu, Ya‐Han, et al.. (2011). Mining Sequential Patterns With Consideration To Recency, Frequency, And Monetary. Journal of the Association for Information Systems. 78. 3 indexed citations

16.

Hu, Ya‐Han, et al.. (2010). Sequential pattern mining with multiple minimum supports: A tree based approach. International Conference on Software Engineering. 428–433. 4 indexed citations

17.

Hu, Ya‐Han, et al.. (2010). Mining multi-level time-interval sequential patterns in sequence databases. International Conference on Software Engineering. 416–421. 4 indexed citations

18.

Hu, Ya‐Han, et al.. (2010). Considering RFM-values of frequent patterns in transactional databases. International Conference on Software Engineering. 422–427. 6 indexed citations

19.

Tang, Jin-Ling, et al.. (2009). How willing are the public to pay for anti-hypertensive drugs for primary prevention of cardiovascular disease: a survey in a Chinese city. International Journal of Epidemiology. 39(1). 244–254. 12 indexed citations

20.

Hu, Ya‐Han & Yen‐Liang Chen. (2004). Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism. Decision Support Systems. 42(1). 1–24. 108 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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