Wei‐Chao Lin

3.5k total citations · 4 hit papers
52 papers, 2.4k citations indexed

About

Wei‐Chao Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Wei‐Chao Lin has authored 52 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 8 papers in Health Information Management. Recurrent topics in Wei‐Chao Lin's work include Imbalanced Data Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (11 papers). Wei‐Chao Lin is often cited by papers focused on Imbalanced Data Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (11 papers). Wei‐Chao Lin collaborates with scholars based in Taiwan, United Kingdom and United States. Wei‐Chao Lin's co-authors include Chih‐Fong Tsai, Ya‐Han Hu, Shih-Wen Ke, Min‐Wei Huang, Anita Mahadevan‐Jansen, Steven C. Gebhart, Fang‐Rong Chang, Yi‐Hong Tsai, Yu‐Hsin Lu and Ching‐Hua Su and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Wei‐Chao Lin

50 papers receiving 2.3k 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 Wei‐Chao Lin, Chih‐Fong Tsai et al. Information Sciences profile →
Missing value imputation: a review and analysis of the literature (2006–2017)

2019 371 citations Wei‐Chao Lin, Chih‐Fong Tsai Artificial Intelligence Review profile →
Under-sampling class imbalanced datasets by combining clustering analysis and instance selection

2018 236 citations Chih‐Fong Tsai, Wei‐Chao Lin et al. Information Sciences profile →
SVM and SVM Ensembles in Breast Cancer Prediction

2017 236 citations Min‐Wei Huang, Wei‐Chao Lin et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei‐Chao Lin Taiwan	21	1.3k	407	302	237	207	52	2.4k
Yanmin Sun Canada	7	1.7k 1.3×	473 1.2×	299 1.0×	177 0.7×	300 1.4×	10	2.5k
Yijing Li China	14	1.4k 1.1×	385 0.9×	186 0.6×	164 0.7×	204 1.0×	54	2.4k
Dayou Liu China	27	1.3k 1.0×	251 0.6×	435 1.4×	286 1.2×	382 1.8×	173	2.9k
Chris Seiffert United States	11	1.3k 1.1×	468 1.1×	207 0.7×	129 0.5×	355 1.7×	18	2.1k
Zhihua Zhou China	8	1.5k 1.2×	413 1.0×	584 1.9×	137 0.6×	200 1.0×	18	2.3k
Ibomoiye Domor Mienye South Africa	22	1.0k 0.8×	228 0.6×	126 0.4×	416 1.8×	156 0.8×	41	2.2k
Victoria López Spain	19	2.5k 1.9×	567 1.4×	381 1.3×	233 1.0×	637 3.1×	70	3.6k
Chi-Jie Lu Taiwan	30	796 0.6×	496 1.2×	226 0.7×	126 0.5×	110 0.5×	102	3.0k
Cheng-Lung Huang Taiwan	13	1.4k 1.1×	305 0.7×	464 1.5×	116 0.5×	342 1.7×	21	3.0k

Countries citing papers authored by Wei‐Chao Lin

Since Specialization

Citations

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

Fields of papers citing papers by Wei‐Chao Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Chao Lin. 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 Wei‐Chao Lin. The network helps show where Wei‐Chao Lin may publish in the future.

Co-authorship network of co-authors of Wei‐Chao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chao Lin. A scholar is included among the top collaborators of Wei‐Chao Lin 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 Wei‐Chao Lin. Wei‐Chao Lin 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

Tsai, Chih‐Fong, et al.. (2025). Data Quality Improvement for Financial Distress Prediction: Feature Selection, Data Re‐Sampling, and Their Combinations in Different Orders. Journal of Forecasting. 44(7). 2205–2229.

Lin, Wei‐Chao, et al.. (2025). Predicting high increases in stock prices using text mining and data resampling techniques. Applied Soft Computing. 176. 113228–113228.

Tsai, Chih‐Fong, et al.. (2024). Feature selection and its combination with data over-sampling for multi-class imbalanced datasets. Applied Soft Computing. 153. 111267–111267. 25 indexed citations

Huang, Min‐Wei, et al.. (2024). Interaction effect between data discretization and data resampling for class-imbalanced medical datasets. Technology and Health Care. 33(2). 1000–1013. 2 indexed citations

Tsai, Chih‐Fong, et al.. (2023). Deep learning based decision tree ensembles for incomplete medical datasets. Technology and Health Care. 32(1). 75–87. 1 indexed citations

Tsai, Chih‐Fong, et al.. (2023). Instance selection using one‐versus‐all and one‐versus‐one decomposition approaches in multiclass classification datasets. Expert Systems. 40(6). 2 indexed citations

Huang, Min‐Wei, et al.. (2023). Combining data discretization and missing value imputation for incomplete medical datasets. PLoS ONE. 18(11). e0295032–e0295032. 3 indexed citations

Tsai, Chih‐Fong, et al.. (2022). Towards hybrid over- and under-sampling combination methods for class imbalanced datasets: an experimental study. Artificial Intelligence Review. 56(2). 845–863. 41 indexed citations

Tsai, Chih‐Fong, et al.. (2021). Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers. Data Technologies and Applications. 55(5). 771–787. 4 indexed citations

10.

Lin, Wei‐Chao & Chih‐Cheng Chen. (2021). Novel World University Rankings Combining Academic, Environmental and Resource Indicators. Sustainability. 13(24). 13873–13873. 6 indexed citations

11.

Tsai, Chih‐Fong, et al.. (2021). Cube of Space Sampling for 3D Model Retrieval. Applied Sciences. 11(23). 11142–11142. 1 indexed citations

12.

Tsai, Chih‐Fong & Wei‐Chao Lin. (2021). Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets. IEEE Access. 9. 13717–13726. 20 indexed citations

13.

Huang, Min‐Wei, et al.. (2021). On Combining Feature Selection and Over-Sampling Techniques for Breast Cancer Prediction. Applied Sciences. 11(14). 6574–6574. 18 indexed citations

14.

Lien, Angela Shin‐Yu, Yi‐Der Jiang, Jia‐Ling Tsai, Jawl‐Shan Hwang, & Wei‐Chao Lin. (2020). Prediction of Diabetic Nephropathy from the Relationship between Fatigue, Sleep and Quality of Life. Applied Sciences. 10(9). 3282–3282. 3 indexed citations

15.

Tsai, Yi‐Hong, et al.. (2020). Ensemble feature selection in medical datasets: Combining filter, wrapper, and embedded feature selection results. Expert Systems. 37(5). 140 indexed citations

16.

Lin, Wei‐Chao. (2019). Aggregation of Multiple Pseudo Relevance Feedbacks for Image Search Re-Ranking. IEEE Access. 7. 147553–147559. 6 indexed citations

17.

Lin, Wei‐Chao, Yu‐Hsin Lu, & Chih‐Fong Tsai. (2018). Feature selection in single and ensemble learning‐based bankruptcy prediction models. Expert Systems. 36(1). 52 indexed citations

18.

Huang, Min‐Wei, et al.. (2017). SVM and SVM Ensembles in Breast Cancer Prediction. PLoS ONE. 12(1). e0161501–e0161501. 236 indexed citations breakdown →

19.

Lin, Wei‐Chao, et al.. (2017). Clustering-based undersampling in class-imbalanced data. Information Sciences. 409-410. 17–26. 566 indexed citations breakdown →

20.

Ke, Shih-Wen, Wei‐Chao Lin, & Chih‐Fong Tsai. (2016). Research performance of AACSB accredited institutions in Taiwan: before versus after accreditation. SpringerPlus. 5(1). 1285–1285. 21 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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