World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8021
World Ranking
7972
National Ranking
3433

Overview

Yiling Chen is affiliated with Harvard University in the United States and has contributed research primarily in the field of Economics, Econometrics and Finance. Their work spans several interconnected subfields, including Economics and Econometrics, Management Science and Operations Research, Finance, Accounting, and Urban Studies.

Their research covers a variety of topics, with particular focus on Corporate Finance and Governance, Auction Theory and Applications, Housing, Finance, and Neoliberalism, Urban Planning and Governance, Innovation Policy and R&D, Energy, Environment and Economic Growth, and Sports Analytics and Performance.

Yiling Chen has published multiple papers in respected journals and platforms. Notable recent publications include:

  • "Effectiveness of industrial policy in supporting innovation: the role of internal and external corporate governance mechanism," 2021, Applied Economics
  • "Alternative gentrification: coexistence of traditional and new industries in historic districts through transfer of development rights in Dihua Street, Taiwan," 2023, International Journal of Heritage Studies
  • "Housing Prices Never Fall": The Development of Housing Finance in Taiwan," 2020, Housing Policy Debate
  • "Government support and bank performance during the 2007-2008 financial crisis," 2020, The North American Journal of Economics and Finance

Other frequently used publication venues include arXiv (Cornell University) and SSRN Electronic Journal, where several works have appeared.

Frequent collaborators in their research include Fuyuan Zhang, Jianghong Cai, X. Zhu, Rong Fu, and Zhongxiao Lin, each appearing as coauthors in multiple publications.

Best Publications

  • Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015

    Colin F. Camerer;Anna Dreber;Felix Holzmeister;Teck-Hua Ho

  • Using internet searches for influenza surveillance.

    Philip M. Polgreen;Yiling Chen;David M. Pennock;Forrest D. Nelson

  • Using prediction markets to estimate the reproducibility of scientific research

    Anna Dreber;Thomas Pfeiffer;Johan Almenberg;Siri Isaksson

  • The Principles and Limits of Algorithm-in-the-Loop Decision Making

    Ben Green;Yiling Chen

  • Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments

    Ben Green;Yiling Chen

  • Truth, justice, and cake cutting

    Yiling Chen;John K. Lai;David C. Parkes;Ariel D. Procaccia

  • A Utility Framework for Bounded-Loss Market Makers

    Yiling Chen;David M Pennock

  • Designing incentives for online question and answer forums

    Shaili Jain;Yiling Chen;David C. Parkes

  • Better human computation through principled voting

    Andrew Mao;Ariel D. Procaccia;Yiling Chen

  • Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing

    Andrew Mao;Ece Kamar;Yiling Chen;Eric Horvitz

  • A Short-term Intervention for Long-term Fairness in the Labor Market

    Lily Hu;Yiling Chen

  • Gaming Prediction Markets: Equilibrium Strategies with a Market Maker

    Yiling Chen;Stanko Dimitrov;Rahul Sami;Daniel M. Reeves

  • A new understanding of prediction markets via no-regret learning

    Yiling Chen;Jennifer Wortman Vaughan

  • Information markets vs. opinion pools: an empirical comparison

    Yiling Chen;Chao-Hsien Chu;Tracy Mullen;David M. Pennock

  • Truthful mechanisms for agents that value privacy

    Yiling Chen;Stephen Chong;Ian A. Kash;Tal Moran

  • Toward automatic task design: a progress report

    Eric Huang;Haoqi Zhang;David C. Parkes;Krzysztof Z. Gajos

  • Predicting replication outcomes in the Many Labs 2 study

    Eskil Forsell;Domenico Viganola;Thomas Pfeiffer;Johan Almenberg

  • Efficient Market Making via Convex Optimization, and a Connection to Online Learning

    Jacob Abernethy;Yiling Chen;Jennifer Wortman Vaughan

  • Output Agreement Mechanisms and Common Knowledge

    Bo Franklin Waggoner;Yiling Chen

  • Designing Markets for Prediction

    Yiling Chen;David M. Pennock

  • Fair classification and social welfare

    Lily Hu;Yiling Chen

  • Learning Strategy-Aware Linear Classifiers

    Yiling Chen;Yang Liu;Chara Podimata

Frequent Co-Authors

Anna Dreber
Anna Dreber Stockholm School of Economics
David C. Parkes
David C. Parkes Harvard University
David M. Pennock
David M. Pennock Rutgers, The State University of New Jersey
Brian A. Nosek
Brian A. Nosek Center for Open Science
Ariel D. Procaccia
Ariel D. Procaccia Harvard University
Lance Fortnow
Lance Fortnow Illinois Institute of Technology
Nicole Immorlica
Nicole Immorlica Microsoft (United States)
Michael P. Bishop
Michael P. Bishop Texas A&M University
Chao-Hsien Chu
Chao-Hsien Chu Pennsylvania State University
Salil P. Vadhan
Salil P. Vadhan Harvard University

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