Cheng-Ru Lin
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
-
- Data Mining Algorithms and Applications 10
-
- Advanced Clustering Algorithms Research 7
- Imbalanced Data Classification Techniques 2
- Co-authors
- Ming-Syan Chen⋆ (15 shared papers)Chang-Hung Lee (6 shared papers)Bi-Ru Dai (2 shared papers)Philip S. Yu (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (3 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)Information Systems (1 paper)IEEE Transactions on Consumer Electronics (1 paper)The VLDB Journal (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Cheng-Ru Lin
14 papers receiving 393 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 193
- Information Systems 254
- Computational Theory and Mathematics 153
- Artificial Intelligence 206
- Computer Vision and Pattern Recognition 73
Countries citing papers authored by Cheng-Ru Lin
This map shows the geographic impact of Cheng-Ru 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 Cheng-Ru Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Ru Lin more than expected).
Fields of papers citing papers by Cheng-Ru Lin
This network shows the impact of papers produced by Cheng-Ru 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 Cheng-Ru Lin. The network helps show where Cheng-Ru Lin may publish in the future.
Co-authors
The 4 scholars most cited alongside Cheng-Ru Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 108 | |
| 2 | 2005 | 77 | |
| 3 | 2003 | 59 | |
| 4 | 2002 | 47 | |
| 5 | 2005 | 37 | |
| 6 | 2004 | 35 | |
| 7 | 2001 | 32 | |
| 8 | 2002 | 17 | |
| 9 | 2002 | 9 | |
| 10 | 2004 | 8 | |
| 11 | 2003 | 5 | |
| 12 | 2007 | 5 | |
| 13 | 2002 | 5 | |
| 14 | 2002 | 2 | |
| 15 | 2002 | 0 |
About Cheng-Ru Lin
Cheng-Ru Lin is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics and Computer Networks and Communications, having authored 15 papers that have together received 446 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Data Management and Algorithms (7 papers), Advanced Clustering Algorithms Research (7 papers), Rough Sets and Fuzzy Logic (6 papers), Face and Expression Recognition (2 papers), Imbalanced Data Classification Techniques (2 papers), Complex Network Analysis Techniques (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Signal Processing (193 citations), Information Systems (254 citations), Computational Theory and Mathematics (153 citations), Artificial Intelligence (206 citations) and Computer Vision and Pattern Recognition (73 citations). Cheng-Ru Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ming-Syan Chen⋆, Chang-Hung Lee, Bi-Ru Dai and Philip S. Yu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems, Information Systems, IEEE Transactions on Consumer Electronics and The VLDB Journal.
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.