Xin Lai

874 total citations · 1 hit paper
10 papers, 486 citations indexed

About

Xin Lai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xin Lai has authored 10 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Xin Lai's work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Xin Lai is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Xin Lai collaborates with scholars based in Hong Kong, China and United States. Xin Lai's co-authors include Jiaya Jia, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Shu Liu, Yanwei Li, Yukang Chen and Chi‐Wing Fu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Network and Computer Applications and Biometrical Journal.

In The Last Decade

Xin Lai

9 papers receiving 480 citations

Hit Papers

LISA: Reasoning Segmentation via Large Language Model 2024 2026 2025 2024 25 50 75

Peers

Xin Lai
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 296
  • Artificial Intelligence 212
  • Computational Mechanics 82
  • Geology 57
  • Radiology, Nuclear Medicine and Imaging 49
Replace Xinwei He with:
Xinwei He China
Tan Yu China
Ruihuang Li Hong Kong
Rongyao Fang Hong Kong
Zongmin Li China
Donglin Di China
Baigui Sun China
Zhaoyang Wu China
Tao Lu China
Weijian Xu China
Xinwei He China View profile →
Citations per field, relative to Xin Lai
Xin Lai · 1×
Citations per year, relative to Xin Lai
Xin Lai · 1×

Countries citing papers authored by Xin Lai

Since Specialization
Citations

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

Fields of papers citing papers by Xin Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Lai. A scholar is included among the top collaborators of Xin Lai 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 Xin Lai. Xin Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 10
2
LISA: Reasoning Segmentation via Large Language Model breakdown →
96
3 0
4 24
5 64
6 92
7 171
8 10
9 11
10 8

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026