Ming-Yen Lin

851 total citations
33 papers, 547 citations indexed

About

Ming-Yen Lin is a scholar working on Information Systems, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Ming-Yen Lin has authored 33 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems, 14 papers in Computational Theory and Mathematics and 13 papers in Artificial Intelligence. Recurrent topics in Ming-Yen Lin's work include Data Mining Algorithms and Applications (20 papers), Rough Sets and Fuzzy Logic (14 papers) and Advanced Database Systems and Queries (11 papers). Ming-Yen Lin is often cited by papers focused on Data Mining Algorithms and Applications (20 papers), Rough Sets and Fuzzy Logic (14 papers) and Advanced Database Systems and Queries (11 papers). Ming-Yen Lin collaborates with scholars based in Taiwan. Ming-Yen Lin's co-authors include Sue-Chen Hsueh, Suh-Yin Lee, Pei‐Yu Lee, Chia‐Wen Chang, Wen‐Cheng Chao, Ming-Cheng Chan, Chieh‐Liang Wu, Chih-Yu Wang, Chien‐Yu Chen and Yuan‐Ming Chang and has published in prestigious journals such as Scientific Reports, Information Sciences and Electronics.

In The Last Decade

Ming-Yen Lin

30 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming-Yen Lin Taiwan	12	469	240	237	158	131	33	547
Joong Hyuk Chang South Korea	11	505 1.1×	347 1.4×	256 1.1×	262 1.7×	163 1.2×	20	598
Azadeh Soltani Iran	3	231 0.5×	156 0.7×	122 0.5×	72 0.5×	53 0.4×	9	315
Duy-Tai Dinh Japan	10	155 0.3×	181 0.8×	70 0.3×	60 0.4×	24 0.2×	18	288
Ricardo Corin Netherlands	14	250 0.5×	277 1.2×	73 0.3×	34 0.2×	270 2.1×	30	434
Yu-Chiang Li Taiwan	9	238 0.5×	184 0.8×	163 0.7×	97 0.6×	20 0.2×	15	424
Wonhong Nam South Korea	9	274 0.6×	210 0.9×	159 0.7×	39 0.2×	123 0.9×	30	473
Gleb Naumovich United States	12	201 0.4×	263 1.1×	159 0.7×	121 0.8×	148 1.1×	29	545
Aleksander Øhrn Norway	9	139 0.3×	181 0.8×	180 0.8×	29 0.2×	20 0.2×	11	342
Congnan Luo United States	8	203 0.4×	251 1.0×	76 0.3×	74 0.5×	28 0.2×	11	349
Richard Kyle MacKinnon Canada	10	152 0.3×	116 0.5×	48 0.2×	87 0.6×	45 0.3×	13	283

Countries citing papers authored by Ming-Yen Lin

Since Specialization

Citations

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

Fields of papers citing papers by Ming-Yen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Yen 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 Ming-Yen Lin. The network helps show where Ming-Yen Lin may publish in the future.

Co-authorship network of co-authors of Ming-Yen Lin

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

Lin, Ming-Yen, et al.. (2024). Enhanced Text Classification with Label-Aware Graph Convolutional Networks. Electronics. 13(15). 2944–2944.

Lin, Ming-Yen, Ping-Chun Wu, & Sue-Chen Hsueh. (2024). Optimizing Session-Aware Recommenders: A Deep Dive into GRU-Based Latent Interaction Integration. Future Internet. 16(2). 51–51.

Lin, Ming-Yen, et al.. (2024). Multitask learning to predict successful weaning in critically ill ventilated patients: A retrospective analysis of the MIMIC-IV database. Digital Health. 10. 599933444–599933444. 1 indexed citations

Lin, Ming-Yen, et al.. (2023). Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis. Healthcare. 11(6). 910–910. 2 indexed citations

Lin, Ming-Yen, et al.. (2022). Interactive Mining of Probabilistic Frequent Patterns in Uncertain Databases. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 30(2). 263–283. 3 indexed citations

Lin, Ming-Yen, et al.. (2021). Explainable Machine Learning to Predict Successful Weaning Among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan. Frontiers in Medicine. 8. 663739–663739. 29 indexed citations

Lin, Ming-Yen, et al.. (2021). A theoretical framework for general design of two-materials composed diffractive fresnel lens. Scientific Reports. 11(1). 15466–15466. 5 indexed citations

Lin, Ming-Yen, Yu‐Ju Lin, & Sue-Chen Hsueh. (2021). Using Spark for Text Mining on Large Scale Liver Cancer Literature. 82–87.

Lin, Ming-Yen, et al.. (2018). Mining and Maintenance of Sequential Patterns using a Backward Generation Framework.. Journal of information science and engineering. 34. 1329–1349. 2 indexed citations

10.

Lin, Ming-Yen, et al.. (2016). Efficient Computation of Group Skyline Queries on MapReduce. 5 indexed citations

11.

Hsueh, Sue-Chen, et al.. (2014). A load-balanced mapreduce algorithm for blocking-based entity-resolution with multiple keys. 3–9. 21 indexed citations

12.

Lin, Ming-Yen, et al.. (2008). Interactive mining of frequent itemsets over arbitrary time intervals in a data stream. Australasian Database Conference. 15–21. 3 indexed citations

13.

Lin, Ming-Yen, Sue-Chen Hsueh, & Chia‐Wen Chang. (2008). Mining Closed Sequential Patterns with Time Constraints. Journal of information science and engineering. 24(1). 33–46. 8 indexed citations

14.

Lin, Ming-Yen, et al.. (2008). Interactive Mining of Frequent Patterns in a Data Stream of Time-Fading Models. 20. 513–518. 1 indexed citations

15.

Hsueh, Sue-Chen, et al.. (2007). Mining Generalized Association Rules for Service Recommendations for Digital Home Applications. 3. 631–634. 1 indexed citations

16.

Lin, Ming-Yen & Suh-Yin Lee. (2005). Fast discovery of sequential patterns through memory indexing and database partitioning. Journal of information science and engineering. 21(1). 109–128. 29 indexed citations

17.

Lin, Ming-Yen & Suh-Yin Lee. (2003). Incremental update on sequential patterns in large databases by implicit merging and efficient counting. Information Systems. 29(5). 385–404. 33 indexed citations

18.

Lin, Ming-Yen & Suh-Yin Lee. (2003). Interactive sequence discovery by incremental mining. Information Sciences. 165(3-4). 187–205. 19 indexed citations

19.

Lin, Ming-Yen & Suh-Yin Lee. (2002). Incremental update on sequential patterns in large databases. 24–31. 60 indexed citations

20.

Lin, Ming-Yen & Suh-Yin Lee. (2000). A Fast Lexicographic Algorithm for Association Rule Mining in Web Applications.. 1 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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