Donghui Lin
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
- Recommender Systems and Techniques
Papers in
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- Service-Oriented Architecture and Web Services 45
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- Natural Language Processing Techniques 18
- Semantic Web and Ontologies 15
- Speech and dialogue systems 9
- Topic Modeling 9
- Multi-Agent Systems and Negotiation 9
- Co-authors
- Toru Ishida (65 shared papers)Yohei Murakami (37 shared papers)Yichuan Jiang (3 shared papers)Masahiro Tanaka (15 shared papers)Xin Zhou (3 shared papers)Yong Liu (1 shared paper)Chunyan Miao (1 shared paper)Bo An (2 shared papers)
In The Last Decade
Donghui Lin
92 papers receiving 533 citations
Peers
Comparison fields: 5 of 86
- Computer Science Applications 67
- Information Systems 264
- Computer Networks and Communications 182
- Artificial Intelligence 224
- Management Information Systems 32
Countries citing papers authored by Donghui Lin
This map shows the geographic impact of Donghui 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 Donghui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghui Lin more than expected).
Fields of papers citing papers by Donghui Lin
This network shows the impact of papers produced by Donghui 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 Donghui Lin. The network helps show where Donghui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Donghui 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
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 48 | |
| 2 | 2023 | 45 | |
| 3 | 2017 | 27 | |
| 4 | 2012 | 26 | |
| 5 | 2006 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2010 | 18 | |
| 8 | 2012 | 16 | |
| 9 | 2015 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2014 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2012 | 11 | |
| 14 | 2007 | 10 | |
| 15 | 2016 | 9 | |
| 16 | 2011 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2014 | 8 |
About Donghui Lin
Donghui Lin is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Management Information Systems and Computer Science Applications, having authored 101 papers that have together received 551 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (45 papers), Natural Language Processing Techniques (18 papers), Semantic Web and Ontologies (15 papers), Distributed and Parallel Computing Systems (12 papers), Speech and dialogue systems (9 papers), Topic Modeling (9 papers), Multi-Agent Systems and Negotiation (9 papers) and Business Process Modeling and Analysis (9 papers). The work is most often cited by research in Computer Science Applications (67 citations), Information Systems (264 citations), Computer Networks and Communications (182 citations), Artificial Intelligence (224 citations) and Management Information Systems (32 citations). Donghui Lin has collaborated with scholars based in Japan, China and Singapore. Frequent co-authors include Toru Ishida, Yohei Murakami, Yichuan Jiang, Masahiro Tanaka, Xin Zhou, Yong Liu, Chunyan Miao, Bo An, Jiuchuan Jiang and Katsutoshi Hirayama. Their work appears in journals such as Language Resources and Evaluation, Lecture notes in computer science, Communications Biology, Research and Practice in Technology Enhanced Learning and ACM Transactions on Autonomous and Adaptive Systems.
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.