Yajie Zou

Building and Construction · 2013–2018

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Building and Construction — 17 citations into it; #2,527 of 2,909 by trust here, #2,426 by citations
• Transportation — 16 citations into it; #1,731 of 2,062 by trust here, #1,428 by citations
• Safety, Risk, Reliability and Quality — 13 citations into it; #349 of 1,220 by trust here, #763 by citations
• Control and Systems Engineering — 12 citations into it
• Statistics and Probability — 8 citations into it; #10,054 of 12,932 by trust here, #11,487 by citations
• Artificial Intelligence — 7 citations into it

Whom Yajie Zou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Panagiotis Ch. Anastasopoulos
2. D. Lord
3. Sylvia Frühwirth-Schnatter
4. Fred L. Mannering
5. Geoffrey J. McLachlan
6. Yunlong Zhang
7. Joseph Hilbe
8. Ramesh C. Gupta
9. Karim El-Basyouny
10. David Peel

Who trusts Yajie Zou overall

1. P. Vangala
2. D. Lord
3. Panagiotis Ch. Anastasopoulos
4. Lingtao Wu
5. S. Geedipally

Papers from Yajie Zou's perspective

Ordered by how strongly the researchers Yajie Zou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Finite Mixture and Markov Switching Models
2. Analyzing different functional forms of the varying weight parameter for finite mixture of negative binomial regression models
3. A note on modeling vehicle accident frequencies with random-parameters count models. (Accident Analysis and Prevention)
4. Negative Binomial Regression: Preface
5. Finite Mixture Models (Wiley Series in Probability and Statistics)
6. Analysis of Long-Tailed Count Data by Poisson Mixtures
7. Comparison of Two Negative Binomial Regression Techniques in Developing Accident Prediction Models
8. Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. (Accident Analysis and Prevention)
9. A latent variable representation of count data models to accommodate spatial and temporal dependence: application to predicting crash frequency at intersections
10. Comparison of Sichel and Negative Binomial Models in Estimating Empirical Bayes Estimates

Their papers

• Modeling over-dispersed crash data with a long tail: Examining the accuracy of the dispersion parameter in Negative Binomial models (2015) — 70 citations
• Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China (2018) — 81 citations
• An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017) — 334 citations
• Analyzing different functional forms of the varying weight parameter for finite mixture of negative binomial regression models (2014) — 60 citations
• Comparison of Sichel and Negative Binomial Models in Estimating Empirical Bayes Estimates (2013) — 47 citations