X Fu
Impact in
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
- Expert finding and Q&A systems
Papers in
-
- Mobile Crowdsensing and Crowdsourcing 4
-
- Information Retrieval and Search Behavior 9
- Web Data Mining and Analysis 4
- Expert finding and Q&A systems 2
- Co-authors
- Diane KellyKerry RoddenShun CaiIndranil BoseXi ChenXiaolin ShiYang SongGary Marchionini
- Journals
- Proceedings of the American Society for Information Science and Technology (3 papers)Information & Management (2 papers)Trends in Molecular Medicine (1 paper)World Journal of Pediatrics (1 paper)Chemosphere (1 paper)
- Partner nations
- United StatesChinaMacao
In The Last Decade
X Fu
25 papers receiving 399 citations
Peers
Comparison fields: 5 of 85
- Information Systems 204
- Information Systems and Management 48
- Computer Science Applications 37
- Human-Computer Interaction 27
- Artificial Intelligence 134
Countries citing papers authored by X Fu
This map shows the geographic impact of X Fu'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 X Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X Fu more than expected).
Fields of papers citing papers by X Fu
This network shows the impact of papers produced by X Fu. 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 X Fu. The network helps show where X Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside X Fu, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 29 | |
| 6 | 2021 | 1 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 55 | |
| 9 | 2016 | 14 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 12 | |
| 12 | 2013 | 28 | |
| 13 | 2007 | 9 | |
| 14 | Exploring How Mouse Movements Relate to Eye Movements on Web Search Results Pages | 2007 | 49 |
| 15 | 2006 | 5 | |
| 16 | 2006 | 45 | |
| 17 | 2005 | 17 | |
| 18 | 2005 | 53 | |
| 19 | University of North Carolina's HARD Track Experiments at TREC 2004 | 2004 | 6 |
| 20 | 2002 | 1 |
About X Fu
X Fu is a scholar working on Computer Science Applications, Information Systems, Statistical and Nonlinear Physics, Marketing and Human-Computer Interaction, having authored 27 papers that have together received 419 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (9 papers), Complex Network Analysis Techniques (4 papers), Advanced Text Analysis Techniques (4 papers), Web Data Mining and Analysis (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Expert finding and Q&A systems (2 papers), Prenatal Screening and Diagnostics (2 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). The work is most often cited by research in Information Systems (204 citations), Information Systems and Management (48 citations), Computer Science Applications (37 citations), Human-Computer Interaction (27 citations) and Artificial Intelligence (134 citations). X Fu has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Diane Kelly, Kerry Rodden, Shun Cai, Indranil Bose, Xi Chen, Xiaolin Shi, Yang Song, Gary Marchionini, Yun Shen and Paul Solomon. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Information & Management, Trends in Molecular Medicine, World Journal of Pediatrics and Chemosphere.
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.