Yiling Chen

78 papers receiving 3.1k citations

Yiling Chen's Hit Papers

The Principles and Limits of Algorithm-in-the-Loop Decision Making 2019 · 259 citations
2590+2+5Years since publication250500750

Peers

Yiling Chen
Comparison fields: 5 of 132
  • Computer Science Applications 583
  • Statistics, Probability and Uncertainty 398
  • General Decision Sciences 134
  • Safety Research 492
  • Information Systems and Management 305
Replace Taizan Chan with:
Taizan Chan Australia
Grant M. Packard United States
Nada Hashmi United States
James R. Hartley United Kingdom
Ulrike Creß Germany
Ilan Yaniv Israel
David García Austria
David Klahr United States
Lorenzo Magnani Italy
Byron B. Reeves United States
Yiling Chen relative to Taizan Chan Australia Taizan Chan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yiling Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yiling Chen Line = papers co-authored together Yiling Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015
Hit paper breakdown →
2018968
2
The Principles and Limits of Algorithm-in-the-Loop Decision Making
Hit paper breakdown →
2019259
3 2015203
4
Disparate Interactions
Hit paper breakdown →
2019190
5 2013101
6 200993
7 201887
8 201474
9 201370
10 202070
11 201859
12 201057
13 201054
14 201350
15 201048
16 202047
17 201342
18 201040
19 200935
20 201135

About Yiling Chen

Yiling Chen is a scholar working on Management Science and Operations Research, Computer Science Applications, Economics and Econometrics, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 80 papers that have together received 3.2k indexed citations. Recurring topics across this work include Game Theory and Applications (28 papers), Game Theory and Voting Systems (26 papers), Auction Theory and Applications (24 papers), Mobile Crowdsensing and Crowdsourcing (20 papers), Privacy-Preserving Technologies in Data (6 papers), Meta-analysis and systematic reviews (5 papers), Ethics and Social Impacts of AI (5 papers) and Sports Analytics and Performance (5 papers). The work is most often cited by research in Computer Science Applications (583 citations), Statistics, Probability and Uncertainty (398 citations), General Decision Sciences (134 citations), Safety Research (492 citations) and Information Systems and Management (305 citations). Yiling Chen has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include Ben Green, David Parkes, Lily J. Hu, Jennifer Wortman Vaughan, Andrew Mao, Bo Waggoner, Ian A. Kash, Ming Yin, Thomas Pfeiffer and Yang Liu. Their work appears in journals such as ACM Transactions on Economics and Computation, AI Magazine, Nature Human Behaviour, Royal Society Open Science and Games and Economic Behavior.

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.

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