Yu-Lin Jeng
Impact in
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- Online Learning and Analytics
- Information Systems top 5%
- Mobile Learning in Education
Papers in
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- Online Learning and Analytics 4
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- Mobile Learning in Education 4
- Data Mining Algorithms and Applications 3
- Cloud Computing and Resource Management 2
- Co-authors
- Yueh‐Min HuangYi‐Zeng HsiehYong‐Ming HuangYen‐Hung KuoTien‐Chi HuangChin‐Feng LaiShih-Yeh ChenKinshuk Kinshuk
In The Last Decade
Yu-Lin Jeng
25 papers receiving 404 citations
Peers
Comparison fields: 5 of 74
- Computer Science Applications 68
- Information Systems 154
- Information Systems and Management 43
- Developmental and Educational Psychology 74
- Health Informatics 5
Countries citing papers authored by Yu-Lin Jeng
This map shows the geographic impact of Yu-Lin Jeng'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 Yu-Lin Jeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Lin Jeng more than expected).
Fields of papers citing papers by Yu-Lin Jeng
This network shows the impact of papers produced by Yu-Lin Jeng. 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 Yu-Lin Jeng. The network helps show where Yu-Lin Jeng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu-Lin Jeng, 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 | Prediction of Battery Discharge States Based on the Recurrent Neural Network | 2020 | 2 |
| 2 | 2020 | 34 | |
| 3 | 2018 | 25 | |
| 4 | 2018 | 4 | |
| 5 | 2017 | 54 | |
| 6 | 2017 | 40 | |
| 7 | 2017 | 2 | |
| 8 | 2016 | 9 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 0 | |
| 11 | 2013 | 40 | |
| 12 | 2013 | 8 | |
| 13 | 2012 | 1 | |
| 14 | 2010 | 15 | |
| 15 | 2009 | 15 | |
| 16 | 2008 | 7 | |
| 17 | 2006 | 22 | |
| 18 | 2006 | 51 | |
| 19 | 2006 | 27 | |
| 20 | 2005 | 3 |
About Yu-Lin Jeng
Yu-Lin Jeng is a scholar working on Computer Science Applications, Information Systems, Developmental and Educational Psychology, Information Systems and Management and Computer Networks and Communications, having authored 26 papers that have together received 433 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (5 papers), Online Learning and Analytics (4 papers), Mobile Learning in Education (4 papers), Online and Blended Learning (3 papers), Data Mining Algorithms and Applications (3 papers), Video Analysis and Summarization (2 papers), Advanced Data Storage Technologies (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Computer Science Applications (68 citations), Information Systems (154 citations), Information Systems and Management (43 citations), Developmental and Educational Psychology (74 citations) and Health Informatics (5 citations). Yu-Lin Jeng has collaborated with scholars based in Taiwan and Canada. Frequent co-authors include Yueh‐Min Huang, Yi‐Zeng Hsieh, Yong‐Ming Huang, Yen‐Hung Kuo, Tien‐Chi Huang, Chin‐Feng Lai, Shih-Yeh Chen, Kinshuk Kinshuk, Shi‐Jer Lou and Qing Tan. Their work appears in journals such as Expert Systems with Applications, The Electronic Library, Computers & Education, Knowledge-Based Systems and Computers in Human Behavior.
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.