Neil Y. Yen
- Computer Science Applications top 10%
- Open Education and E-Learning 10
- Online Learning and Analytics 5
- Artificial Intelligence top 5%
- Text and Document Classification Technologies 6
- Sentiment Analysis and Opinion Mining 4
- Information Systems top 5%
- Recommender Systems and Techniques 11
- Mobile Learning in Education 4
- Marketing top 10%
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- Human Mobility and Location-Based Analysis 5
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- Caching and Content Delivery 5
Neil Y. Yen
67 papers receiving 642 citations
Peers
Comparison fields: 5 of 124
- Health Information Management 55
- Computer Science Applications 44
- Artificial Intelligence 232
- Information Systems 148
- Marketing 42
Countries citing papers authored by Neil Y. Yen
This map shows the geographic impact of Neil Y. Yen'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 Neil Y. Yen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Y. Yen more than expected).
Fields of papers citing papers by Neil Y. Yen
This network shows the impact of papers produced by Neil Y. Yen. 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 Neil Y. Yen. The network helps show where Neil Y. Yen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil Y. Yen, 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 | 2024 | 0 | |
| 2 | 2022 | 23 | |
| 3 | 2020 | 22 | |
| 4 | 2019 | 65 | |
| 5 | 2016 | 0 | |
| 6 | 2015 | 15 | |
| 7 | 2014 | 4 | |
| 8 | 2014 | 20 | |
| 9 | 2014 | 1 | |
| 10 | 2013 | 2 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 0 | |
| 14 | 2013 | 3 | |
| 15 | An Intergrated Approach for Internet Resources Mining and Searching | 2012 | 11 |
| 16 | 2012 | 3 | |
| 17 | 2011 | 1 | |
| 18 | 2010 | 6 | |
| 19 | 2009 | 1 | |
| 20 | 2007 | 4 |
About Neil Y. Yen
Neil Y. Yen is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Computer Networks and Communications and Transportation, having authored 77 papers that have together received 682 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (11 papers), Open Education and E-Learning (10 papers), Text and Document Classification Technologies (6 papers), Online Learning and Analytics (5 papers), Human Mobility and Location-Based Analysis (5 papers), Caching and Content Delivery (5 papers), Mobile Learning in Education (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Health Information Management (55 citations), Computer Science Applications (44 citations), Artificial Intelligence (232 citations), Information Systems (148 citations) and Marketing (42 citations). Neil Y. Yen has collaborated with scholars based in Japan, Taiwan and China. Frequent co-authors include Moloud Abdar, Jason C. Hung, Jia-Wei Chang, Rynson W. H. Lau, Frederick W. B. Li, Benjamin W. Wah, Mohammad Ehsan Basiri, Timothy K. Shih, Zheng Xu and Mohammed Atiquzzaman. Their work appears in journals such as Multimedia Tools and Applications, Journal of Ambient Intelligence and Humanized Computing, IEEE Access, Library Hi Tech and Mobile Networks and Applications.
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.