Mengjie Yu

The University of Texas at Austin

Papers

1

Total Citations

10

H-Index

1

About

Mengjie Yu is a researcher whose work sits at the intersection of biodiversity informatics, crowdsourcing, and evolutionary biology. Her most cited study, “Crowds Replicate Performance of Scientific Experts Scoring Phylogenetic Matrices of Phenotypes” (2017, 10 citations), tackles a fundamental bottleneck in building the Tree of Life: the immense challenge of scoring phenotypic traits—such as anatomy and physiology—from millions of living and fossil species. Yu’s key contribution demonstrates that non-expert crowds can replicate the accuracy of trained scientific experts in this painstaking task, offering a scalable, cost-effective solution to a problem that far outstrips the capacities of individual specialists. This work not only validates the power of citizen science in phylogenetics but also opens new avenues for accelerating biodiversity research. By showing that distributed human intelligence can match expert performance, Yu has helped reshape how large-scale phenotypic data can be collected, making a lasting impact on the field. Her research continues to inspire new approaches to harnessing collective expertise for grand challenges in evolutionary science.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Crowds Replicate Performance of Scientific Experts Scoring Phylogenetic Matrices of Phenotypes
10 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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