Yiling Chen
Impact in
-
- Auction Theory and Applications
- Game Theory and Applications
- General Decision Sciences top 10%
Papers in
-
- Sports Analytics and Performance 21
- Complex Systems and Time Series Analysis 5
-
- Auction Theory and Applications 9
- Co-authors
- David M. Pennock (6 shared papers)David C. Parkes (3 shared papers)Ariel D. Procaccia (1 shared paper)John K. Lai (1 shared paper)Tracy Mullen (4 shared papers)Chao‐Hsien Chu (4 shared papers)Lance Fortnow (4 shared papers)Nicolas Lambert (3 shared papers)
- Journals
- Royal Society Open Science (2 papers)Autonomous Agents and Multi-Agent Systems (2 papers)Emerging Markets Finance and Trade (1 paper)Games and Economic Behavior (1 paper)Algorithmica (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Yiling Chen
40 papers receiving 479 citations
Peers
Comparison fields: 5 of 72
- Management Science and Operations Research 251
- General Decision Sciences 30
- Economics and Econometrics 337
- Finance 103
- Computer Science Applications 34
Countries citing papers authored by Yiling Chen
This map shows the geographic impact of Yiling Chen'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 Yiling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiling Chen more than expected).
Fields of papers citing papers by Yiling Chen
This network shows the impact of papers produced by Yiling Chen. 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 Yiling Chen. The network helps show where Yiling Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiling Chen, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 90 | |
| 2 | 2009 | 49 | |
| 3 | 2005 | 41 | |
| 4 | 2008 | 32 | |
| 5 | 2007 | 25 | |
| 6 | 2014 | 24 | |
| 7 | 2008 | 23 | |
| 8 | 2012 | 20 | |
| 9 | 2008 | 20 | |
| 10 | 2006 | 17 | |
| 11 | 2011 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2014 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2015 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2006 | 7 | |
| 20 | 2014 | 7 |
About Yiling Chen
Yiling Chen is a scholar working on Economics and Econometrics, Management Science and Operations Research, Finance, Marketing and Clinical Psychology, having authored 44 papers that have together received 511 indexed citations. Recurring topics across this work include Sports Analytics and Performance (21 papers), Auction Theory and Applications (9 papers), Consumer Market Behavior and Pricing (9 papers), Financial Markets and Investment Strategies (5 papers), Complex Systems and Time Series Analysis (5 papers), Decision-Making and Behavioral Economics (4 papers), Corporate Finance and Governance (4 papers) and Gambling Behavior and Treatments (4 papers). The work is most often cited by research in Management Science and Operations Research (251 citations), General Decision Sciences (30 citations), Economics and Econometrics (337 citations), Finance (103 citations) and Computer Science Applications (34 citations). Yiling Chen has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David M. Pennock, David C. Parkes, Ariel D. Procaccia, John K. Lai, Tracy Mullen, Chao‐Hsien Chu, Lance Fortnow, Nicolas Lambert, Jennifer R. Wortman and Daniel M. Reeves. Their work appears in journals such as Royal Society Open Science, Autonomous Agents and Multi-Agent Systems, Emerging Markets Finance and Trade, Games and Economic Behavior and Algorithmica.
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.