Yin Lou

34 total papers · 3.9k total citations
19 papers, 2.1k 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 2.1k 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, Yan Huang, Chengyang Zhang, Xing Xie, Wei Wang 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 2.0k citations

Hit Papers

Intelligible Models for H... 2009 2026 2014 2020 2015 2009 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yin Lou 1.1k 467 313 312 208 19 2.1k
Riccardo Guidotti 1.1k 1.1× 174 0.4× 211 0.7× 103 0.3× 124 0.6× 71 2.0k
Quanshi Zhang 907 0.9× 125 0.3× 245 0.8× 130 0.4× 544 2.6× 58 1.8k
Benjamin Letham 706 0.7× 248 0.5× 75 0.2× 151 0.5× 110 0.5× 24 2.1k
Yilun Lin 439 0.4× 98 0.2× 246 0.8× 477 1.5× 361 1.7× 46 2.0k
Aris Gkoulalas-Divanis 1.2k 1.1× 323 0.7× 287 0.9× 47 0.2× 106 0.5× 78 1.7k
Rajib Rana 636 0.6× 287 0.6× 253 0.8× 144 0.5× 229 1.1× 51 2.0k
Salvatore Rinzivillo 308 0.3× 429 0.9× 995 3.2× 218 0.7× 283 1.4× 50 1.7k
Sanjay Purushotham 1.3k 1.2× 457 1.0× 71 0.2× 122 0.4× 238 1.1× 48 2.3k
Karl Kumbier 1.8k 1.7× 89 0.2× 49 0.2× 84 0.3× 243 1.2× 12 3.1k
Zachary C. Lipton 1.4k 1.3× 330 0.7× 39 0.1× 106 0.3× 571 2.7× 62 2.7k

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

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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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