Yin Lou

3.9k total citations · 2 hit papers
19 papers, 2.2k citations indexed

About

Yin Lou is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yin Lou has authored 19 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yin Lou's work include Machine Learning and Data Classification (6 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Data Management and Algorithms (4 papers). Yin Lou is often cited by papers focused on Machine Learning and Data Classification (6 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Data Management and Algorithms (4 papers). Yin Lou collaborates with scholars based in United States, China and France. Yin Lou's co-authors include Johannes Gehrke, Rich Caruana, Paul Koch, Noémie Elhadad, Yu Zheng, Xing Xie, Wei Wang, Chengyang Zhang, Yan Huang and Giles Hooker and has published in prestigious journals such as Scientific Reports, Proceedings of the VLDB Endowment and Frontiers in Public Health.

In The Last Decade

Yin Lou

17 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Intelligible Models for HealthCare

2015 847 citations Rich Caruana, Yin Lou et al. profile →
Map-matching for low-sampling-rate GPS trajectories

2009 576 citations Yin Lou, Chengyang Zhang et al. profile →

Peers

Yin Lou

AI

SP

TRANS

BC

CVPR

Benjamin Letham United States

Yilun Lin China

Paul Koch United States

Mamta Mittal India

Iraklis Varlamis Greece

Asim Karim Pakistan

Haoyi Xiong China

Arash Heidari Iran

Ninghao Liu United States

Sharnil Pandya India

Benjamin Letham United States

Yin Lou

713 ×0.7

AI

253 ×0.5

SP

76 ×0.2

TRANS

155 ×0.5

BC

111 ×0.5

CVPR

Citations per year, relative to Yin Lou Yin Lou (= 1×) peers Benjamin Letham

Countries citing papers authored by Yin Lou

Since Specialization

Citations

This map shows the geographic impact of Yin Lou'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 Yin Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Lou more than expected).

Fields of papers citing papers by Yin Lou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yin Lou. 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 Yin Lou. The network helps show where Yin Lou may publish in the future.

Co-authorship network of co-authors of Yin Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Lou. A scholar is included among the top collaborators of Yin Lou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yin Lou. Yin Lou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Cai, Gangwei, et al.. (2025). AI enhancing prefabricated aesthetics and low carbon coupled with 3D printing in chain hotel buildings from multidimensional neural networks. Scientific Reports. 15(1). 13229–13229. 2 indexed citations

2.

Lou, Yin, et al.. (2024). On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. 5959–5968.

3.

Wang, Shuai, et al.. (2023). 3-Hydroxy-3-methylglutaryl coenzyme A reductase genes from Glycine max regulate plant growth and isoprenoid biosynthesis. Scientific Reports. 13(1). 3902–3902. 13 indexed citations

4.

Qian, Chen, et al.. (2023). Fanglue: An Interactive System for Decision Rule Crafting. Proceedings of the VLDB Endowment. 16(12). 4062–4065. 1 indexed citations

5.

Wang, Meng, et al.. (2022). Mediating Effects of Adolescent Physical Activity, Self-Rated Health and Family Income. Frontiers in Public Health. 10. 940141–940141. 7 indexed citations

6.

Liu, Jiabin, Chengliang Chai, Yuyu Luo, et al.. (2022). Feature Augmentation with Reinforcement Learning. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3360–3372. 23 indexed citations

7.

Caruana, Rich & Yin Lou. (2021). A Survey on Multi Objective Optimization Challenges in Swarm Intelligence. 121–129. 2 indexed citations

8.

Lou, Yin, et al.. (2020). Efficiently Training Intelligible Models for Global Explanations. 2637–2644. 2 indexed citations

9.

Zhang, Xuezhou, Sarah Tan, Paul Koch, et al.. (2019). Axiomatic Interpretability for Multiclass Additive Models. 226–234. 21 indexed citations

10.

Zoumpatianos, Kostas, et al.. (2018). Generating data series query workloads. The VLDB Journal. 27(6). 823–846. 21 indexed citations

11.

Tan, Sarah, Rich Caruana, Giles Hooker, & Yin Lou. (2017). Auditing Black-Box Models Using Transparent Model Distillation With Side Information. arXiv (Cornell University). 7 indexed citations

12.

Lou, Yin, et al.. (2017). BDT. 1893–1901. 21 indexed citations

13.

Lou, Yin, Jacob Bien, Rich Caruana, & Johannes Gehrke. (2015). Sparse Partially Linear Additive Models. Journal of Computational and Graphical Statistics. 25(4). 1126–1140. 30 indexed citations

14.

Caruana, Rich, et al.. (2015). Intelligible Models for HealthCare. 1721–1730. 847 indexed citations breakdown →

15.

Zoumpatianos, Kostas, Yin Lou, Themis Palpanas, & Johannes Gehrke. (2015). Query Workloads for Data Series Indexes. 1603–1612. 28 indexed citations

16.

Lou, Yin, Rich Caruana, Johannes Gehrke, & Giles Hooker. (2013). Accurate intelligible models with pairwise interactions. 623–631. 266 indexed citations

17.

Lou, Yin, Rich Caruana, & Johannes Gehrke. (2012). Intelligible models for classification and regression. 150–158. 254 indexed citations

18.

Zhai, Jiaqi, Yin Lou, & Johannes Gehrke. (2011). ATLAS. 997–1008. 31 indexed citations

19.

Lou, Yin, Chengyang Zhang, Yu Zheng, et al.. (2009). Map-matching for low-sampling-rate GPS trajectories. 352–361. 576 indexed citations breakdown →

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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