Xinlei Chen

6.8k total citations · 2 hit papers
8 papers, 2.8k citations indexed

About

Xinlei Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xinlei Chen has authored 8 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Xinlei Chen's work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Xinlei Chen is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Xinlei Chen collaborates with scholars based in China, Israel and United States. Xinlei Chen's co-authors include Kaiming He, Dan Jurafsky, Jiwei Li, Eduard Hovy, Piotr Dollár, Ross Girshick, Luowei Zhou, Marcus Rohrbach, Yannis Kalantidis and Jason J. Corso and has published in prestigious journals such as Ocean Engineering, IEEE Transactions on Emerging Topics in Computational Intelligence and ArXiv.org.

In The Last Decade

Xinlei Chen

6 papers receiving 2.7k 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.

Exploring Simple Siamese Representation Learning

2021 2.0k citations Xinlei Chen, Kaiming He profile →
Visualizing and Understanding Neural Models in NLP

2016 298 citations Jiwei Li, Xinlei Chen et al. profile →

Peers

Xinlei Chen

AI

CVPR

MT

RNMI

SP

Abhinav Shrivastava United States

Lu Jiang United States

Seong Joon Oh Germany

Matthieu Cord France

Kelvin Xu United States

Xiu-Shen Wei China

Sanghyuk Chun South Korea

Dacheng Tao Australia

Mehrtash Harandi Australia

Mathilde Caron United States

Abhinav Shrivastava United States

Xinlei Chen

1.3k ×0.8

AI

2.1k ×1.4

CVPR

272 ×1.3

MT

218 ×1.0

RNMI

145 ×0.9

SP

Citations per year, relative to Xinlei Chen Xinlei Chen (= 1×) peers Abhinav Shrivastava

Countries citing papers authored by Xinlei Chen

Since Specialization

Citations

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

Fields of papers citing papers by Xinlei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinlei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xinlei Chen. A scholar is included among the top collaborators of Xinlei Chen 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 Xinlei Chen. Xinlei Chen 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:

8 of 8 papers shown

1.

Lu, Qingzhen, et al.. (2025). Application of machine learning methods incorporating Archard model for wear prediction of submarine cables. Ocean Engineering. 337. 121901–121901.

2.

Gao, Chen, et al.. (2025). CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory. ArXiv.org. 31292–31309.

3.

Chen, Xinlei & Kaiming He. (2021). Exploring Simple Siamese Representation Learning. 15745–15753. 2037 indexed citations breakdown →

4.

Xu, Qiwei, et al.. (2021). Additive Attention for CNN-based Classification. 55–59. 1 indexed citations

5.

Chen, Xinlei, Ross Girshick, Kaiming He, & Piotr Dollár. (2019). TensorMask: A Foundation for Dense Object Segmentation. 2061–2069. 249 indexed citations

6.

Zhou, Luowei, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, & Marcus Rohrbach. (2019). Grounded Video Description. 6571–6580. 121 indexed citations

7.

Wang, Tian, et al.. (2018). A Three-Layer Privacy Preserving Cloud Storage Scheme Based on Computational Intelligence in Fog Computing. IEEE Transactions on Emerging Topics in Computational Intelligence. 2(1). 3–12. 73 indexed citations

8.

Li, Jiwei, Xinlei Chen, Eduard Hovy, & Dan Jurafsky. (2016). Visualizing and Understanding Neural Models in NLP. 681–691. 298 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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