Hu Fu
Impact in
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- Auction Theory and Applications
- Game Theory and Applications
- Advanced Bandit Algorithms Research
- Marketing top 5%
- Consumer Market Behavior and Pricing
Papers in
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- Auction Theory and Applications 23
- Game Theory and Applications 3
- Marketing 19
- Consumer Market Behavior and Pricing 19
- Co-authors
- Robert Kleinberg (10 shared papers)Brendan Lucier (4 shared papers)Jason D. Hartline (7 shared papers)Nima Haghpanah (6 shared papers)Nick Gravin (2 shared papers)Michal Feldman (2 shared papers)Shahar Dobzinski (3 shared papers)Saeed Alaei (3 shared papers)
- Journals
- Games and Economic Behavior (2 papers)Operations Research (1 paper)Economics Letters (1 paper)Journal of Intelligent & Robotic Systems (1 paper)Industrial Robot the international journal of robotics research and application (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hu Fu
34 papers receiving 370 citations
Peers
Comparison fields: 5 of 49
- Management Science and Operations Research 315
- Marketing 197
- Safety Research 40
- Economics and Econometrics 114
- Management Information Systems 30
Countries citing papers authored by Hu Fu
This map shows the geographic impact of Hu 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 Hu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hu Fu more than expected).
Fields of papers citing papers by Hu Fu
This network shows the impact of papers produced by Hu 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 Hu Fu. The network helps show where Hu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hu 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 64 | |
| 2 | 2011 | 38 | |
| 3 | 2012 | 36 | |
| 4 | 2010 | 31 | |
| 5 | 2013 | 27 | |
| 6 | 2012 | 23 | |
| 7 | 2015 | 18 | |
| 8 | 2013 | 14 | |
| 9 | 2014 | 14 | |
| 10 | 2013 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2014 | 9 | |
| 13 | 2012 | 9 | |
| 14 | 2015 | 8 | |
| 15 | 2017 | 7 | |
| 16 | On the Complexity of Computing an Equilibrium in Combinatorial Auctions | 2015 | 6 |
| 17 | 2017 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2014 | 5 |
About Hu Fu
Hu Fu is a scholar working on Management Science and Operations Research, Marketing, Economics and Econometrics, Safety Research and Artificial Intelligence, having authored 42 papers that have together received 380 indexed citations. Recurring topics across this work include Auction Theory and Applications (23 papers), Consumer Market Behavior and Pricing (19 papers), Game Theory and Voting Systems (8 papers), Experimental Behavioral Economics Studies (7 papers), Digital Platforms and Economics (4 papers), Economic theories and models (4 papers), Game Theory and Applications (3 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Management Science and Operations Research (315 citations), Marketing (197 citations), Safety Research (40 citations), Economics and Econometrics (114 citations) and Management Information Systems (30 citations). Hu Fu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Robert Kleinberg, Brendan Lucier, Jason D. Hartline, Nima Haghpanah, Nick Gravin, Michal Feldman, Shahar Dobzinski, Saeed Alaei, Ron Lavi and Azarakhsh Malekian. Their work appears in journals such as Games and Economic Behavior, Operations Research, Economics Letters, Journal of Intelligent & Robotic Systems and Industrial Robot the international journal of robotics research and application.
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.