Dan Wu
Impact in
- Information Systems top 1%
- Service-Oriented Architecture and Web Services
- Information Retrieval and Search Behavior
Papers in
-
- Information Retrieval and Search Behavior 23
- Expert finding and Q&A systems 13
- Web Data Mining and Analysis 9
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- Natural Language Processing Techniques 10
- Semantic Web and Ontologies 10
- Co-authors
- Dana Nau (2 shared papers)Bijan Parsia (2 shared papers)James Hendler (2 shared papers)Evren Sirin (2 shared papers)Daqing He (23 shared papers)Xingqian Ye (1 shared paper)Qingqing Jiang (1 shared paper)Tian Ding (1 shared paper)
- Journals
- The Electronic Library (7 papers)Journal of the Association for Information Science and Technology (6 papers)Library Hi Tech (5 papers)Information Processing & Management (5 papers)Libri (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Wu
111 papers receiving 1.3k citations
Dan Wu's Hit Papers
Peers
Comparison fields: 5 of 166
- Library and Information Sciences 51
- Information Systems 645
- Management Information Systems 197
- Artificial Intelligence 524
- Information Systems and Management 90
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan Wu'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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan Wu. 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 Dan Wu. The network helps show where Dan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wu, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HTN planning for Web Service composition using SHOP2 Hit paper breakdown → | 2004 | 448 |
| 2 | 2018 | 221 | |
| 3 | 2020 | 128 | |
| 4 | 2011 | 38 | |
| 5 | 2016 | 36 | |
| 6 | 2012 | 24 | |
| 7 | 2008 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 18 | |
| 11 | When Gender Diversity Makes Firms More Productive | 2019 | 18 |
| 12 | 2016 | 18 | |
| 13 | 2012 | 17 | |
| 14 | 2020 | 17 | |
| 15 | 2012 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2016 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2024 | 10 |
About Dan Wu
Dan Wu is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Information Systems and Management and Communication, having authored 124 papers that have together received 1.4k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (23 papers), Expert finding and Q&A systems (13 papers), Knowledge Management and Sharing (11 papers), Natural Language Processing Techniques (10 papers), Semantic Web and Ontologies (10 papers), Digital Marketing and Social Media (9 papers), Web Data Mining and Analysis (9 papers) and Technology Adoption and User Behaviour (7 papers). The work is most often cited by research in Library and Information Sciences (51 citations), Information Systems (645 citations), Management Information Systems (197 citations), Artificial Intelligence (524 citations) and Information Systems and Management (90 citations). Dan Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dana Nau, Bijan Parsia, James Hendler, Evren Sirin, Daqing He, Xingqian Ye, Qingqing Jiang, Tian Ding, Shiguo Chen and Yaqin Hu. Their work appears in journals such as The Electronic Library, Journal of the Association for Information Science and Technology, Library Hi Tech, Information Processing & Management and Libri.
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.