Wei‐Chao Lin

3.5k citations
52 papers · 2.4k · 4 hit papers · h-index 21

Impact in

    • Artificial Intelligence in Healthcare
    • Imbalanced Data Classification Techniques
    • Anomaly Detection Techniques and Applications
    • Machine Learning and Data Classification
    • AI in cancer detection

Papers in

    • Imbalanced Data Classification Techniques 22
    • Machine Learning and Data Classification 11
    • Text and Document Classification Technologies 5
    • Advanced Image and Video Retrieval Techniques 12
    • Image Retrieval and Classification Techniques 11
    • Face and Expression Recognition 4

Wei‐Chao Lin

50 papers receiving 2.3k citations

Wei‐Chao Lin's Hit Papers

Missing value imputation: a review and analysis of the literature (2006–2017) 2019 · 371 citations
3710+3+6Years since publication100200300400500

Peers

Wei‐Chao Lin
Comparison fields: 5 of 173
  • Health Information Management 237
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 302
  • Accounting 160
  • Signal Processing 125
Replace Yanmin Sun with:
Yanmin Sun Canada
Yijing Li China
Dayou Liu China
Victoria López Spain
Alfredo Vellido Spain
Chris Seiffert United States
Mingyun Gu China
Amri Napolitano United States
Jason Van Hulse United States
Wei‐Chao Lin relative to Yanmin Sun Canada Yanmin Sun's profile →
Citations per field
00.5×3.3×
Yanmin Sun · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Wei‐Chao Lin, 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 Wei‐Chao Lin Line = papers co-authored together Wei‐Chao Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clustering-based undersampling in class-imbalanced data
Hit paper breakdown →
2017566
2
Missing value imputation: a review and analysis of the literature (2006–2017)
Hit paper breakdown →
2019371
3
SVM and SVM Ensembles in Breast Cancer Prediction
Hit paper breakdown →
2017236
4
Under-sampling class imbalanced datasets by combining clustering analysis and instance selection
Hit paper breakdown →
2018236
5 2020140
6 2006115
7 2006107
8 202269
9 201852
10 201652
11 202147
12 202241
13 202234
14 201532
15 201529
16 202425
17 201624
18 201724
19 201022
20 201621

About Wei‐Chao Lin

Wei‐Chao Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Information Management, Information Systems and Accounting, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (12 papers), Machine Learning and Data Classification (11 papers), Image Retrieval and Classification Techniques (11 papers), Artificial Intelligence in Healthcare (8 papers), Text and Document Classification Technologies (5 papers), Face and Expression Recognition (4 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Health Information Management (237 citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (302 citations), Accounting (160 citations) and Signal Processing (125 citations). Wei‐Chao Lin has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Chih‐Fong Tsai, Ya‐Han Hu, Shih-Wen Ke, Min‐Wei Huang, Steven C. Gebhart, Anita Mahadevan‐Jansen, Fang‐Rong Chang, Yi‐Hong Tsai, Yu‐Hsin Lu and Ching‐Hua Su. Their work appears in journals such as Applied Soft Computing, Information Sciences, Neurocomputing, Applied Sciences and IEEE Access.

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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