Dan Wu

111 papers receiving 1.3k citations

Hit Papers

HTN planning for Web Service composition using SHOP2 2004 · 447 citations
4472004202620112018100200300400

Peers

Dan Wu
Comparison fields: 5 of 169
  • Library and Information Sciences 51
  • Information Systems 647
  • Management Information Systems 193
  • Artificial Intelligence 523
  • Information Systems and Management 91
Replace Alan S. Abrahams with:
Alan S. Abrahams United States
Dagobert Soergel United States
Jane Greenberg United States
Elizabeth D. Liddy United States
Varun Gupta India
Rong Tang United States
Stephen P. Harter United States
Younghee Noh South Korea
Daqing He United States
Loriene Roy United States
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Countries citing papers authored by Dan Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Dan Wu Line = papers co-authored together Dan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20245
3 20242
4 20240
5 20247
6 20234
7 20231
8 20227
9 20223
10 20207
11 2018209
12 20181
13 20161
14
Isolation and molecular identification of "Jinhua" fungi on the Fuzhuan tea produced in different regions
20164
15
Analyzing technological knowledge diffusion among technological fields using patent data: The example of microfluidics
20142
16 20121
17
The Prospect of Cloud computing in the application of Agricultural Information
20111
18
Integration of Coal Enterprise and Power Plant and Its Efficiency: Based on Bidding for Accessing to Networks
20082
19
Applications and Proceedings of Cross-Language Information Retrieval Technique
20060
20 20058

About Dan Wu

Dan Wu is a scholar working on Library and Information Sciences, Information Systems and Management, Information Systems, Communication and Computer Science Applications, having authored 121 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), Web Data Mining and Analysis (9 papers), Digital Marketing and Social Media (9 papers), Semantic Web and Ontologies (9 papers) and Personal Information Management and User Behavior (7 papers). The work is most often cited by research in Library and Information Sciences (51 citations), Information Systems (647 citations), Management Information Systems (193 citations), Artificial Intelligence (523 citations) and Information Systems and Management (91 citations). Dan Wu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Dana Nau, Bijan Parsia, James Hendler, Evren Sirin, Daqing He, Tian Ding, Shiguo Chen, Tiantian Wu, Donghong Liu and Qingqing Jiang. Their work appears in journals such as The Electronic Library, Journal of the Association for Information Science and Technology, Information Processing & Management, Library Hi Tech and Journal of Librarianship and Information Science.

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.

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