Yifan Hu
- Information Systems top 0.2%
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 1%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Timothy A. DavisChris VolinskyYehuda KorenEmden R. GansnerStephen KobourovJ. A. ScottStephen C. NorthNicholas I. M. Gould
- Topics
- Data Visualization and Analytics (30 papers)Complex Network Analysis Techniques (13 papers)Matrix Theory and Algorithms (6 papers)
- Journals
- Journal of Investigative DermatologyJournal of Psychosomatic ResearchIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yifan Hu
85 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Information Systems 1.9k
- Artificial Intelligence 1.8k
- Computer Vision and Pattern Recognition 1.5k
- Computer Networks and Communications 1.2k
- Computational Theory and Mathematics 1.1k
Countries citing papers authored by Yifan Hu
This map shows the geographic impact of Yifan Hu'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 Yifan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yifan Hu more than expected).
Fields of papers citing papers by Yifan Hu
This network shows the impact of papers produced by Yifan Hu. 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 Yifan Hu. The network helps show where Yifan Hu may publish in the future.
Co-authorship network of co-authors of Yifan Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Yifan Hu. A scholar is included among the top collaborators of Yifan Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yifan Hu. Yifan Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 24 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 72 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | Neoliberalism and State Spatiality: Reflection and Implications | 1 |
| 20 | Collaborative Filtering for Implicit Feedback Datasetsbreakdown → | 1945 |
About Yifan Hu
Yifan Hu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 91 papers that have together received 5.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (30 papers), Complex Network Analysis Techniques (13 papers) and Matrix Theory and Algorithms (6 papers). The work is most often cited by research in Computational Mathematics (133 citations), Hardware and Architecture (1.0k citations) and Information Systems (1.9k citations). Yifan Hu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Timothy A. Davis, Chris Volinsky, Yehuda Koren, Emden R. Gansner, Stephen Kobourov, J. A. Scott, Stephen C. North, Nicholas I. M. Gould, Steven Skiena and Bryan Perozzi. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Psychosomatic Research and IEEE Transactions on Neural Networks and Learning 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.