Ming-Yen Lin
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Sue-Chen HsuehSuh-Yin LeePei‐Yu LeeChia‐Wen ChangWen‐Cheng ChaoMing-Cheng ChanChieh‐Liang WuChih-Yu Wang
- Topics
- Data Mining Algorithms and Applications (20 papers)Rough Sets and Fuzzy Logic (14 papers)Advanced Database Systems and Queries (11 papers)
- Partner nations
- Taiwan
In The Last Decade
Ming-Yen Lin
30 papers receiving 497 citations
Peers
Comparison fields: 5 of 57
- Information Systems 469
- Artificial Intelligence 240
- Computational Theory and Mathematics 237
- Signal Processing 158
- Computer Networks and Communications 131
Countries citing papers authored by Ming-Yen Lin
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 29 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | Mining and Maintenance of Sequential Patterns using a Backward Generation Framework. | 2 |
| 10 | Efficient Computation of Group Skyline Queries on MapReduce | 5 |
| 11 | A load-balanced mapreduce algorithm for blocking-based entity-resolution with multiple keys | 21 |
| 12 | Interactive mining of frequent itemsets over arbitrary time intervals in a data stream | 3 |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 29 | |
| 17 | 33 | |
| 18 | 19 | |
| 19 | 60 | |
| 20 | A Fast Lexicographic Algorithm for Association Rule Mining in Web Applications. | 1 |
About Ming-Yen Lin
Ming-Yen Lin is a scholar working on Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 33 papers that have together received 547 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (20 papers), Rough Sets and Fuzzy Logic (14 papers) and Advanced Database Systems and Queries (11 papers). The work is most often cited by research in Information Systems (469 citations), Computational Theory and Mathematics (237 citations) and Signal Processing (158 citations). Ming-Yen Lin has collaborated with scholars based in Taiwan. Frequent 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. Their work appears in journals such as Scientific Reports, Information Sciences and Electronics.
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.