Xin Lai

20 total papers · 855 total citations
9 papers, 466 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 9 papers receiving a total of 466 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 2 papers in Information Systems. Recurrent topics in Xin Lai's work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Xin Lai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Xin Lai collaborates with scholars based in Hong Kong, United States and China. Xin Lai's co-authors include Jiaya Jia, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Shu Liu, Shaoshuai Shi, Chi‐Wing Fu and Yukang Chen 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 459 citations

Hit Papers

LISA: Reasoning Segmentat... 2024 2026 2024 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Xin Lai 285 207 81 56 46 9 466
Yunyang Xiong 240 0.8× 124 0.6× 47 0.6× 38 0.7× 43 0.9× 16 459
Xinwei He 236 0.8× 121 0.6× 104 1.3× 77 1.4× 50 1.1× 22 461
Qingyu Song 398 1.4× 242 1.2× 43 0.5× 41 0.7× 20 0.4× 13 524
Alejandro Newell 368 1.3× 180 0.9× 41 0.5× 27 0.5× 22 0.5× 9 478
Bogdan Savchynskyy 364 1.3× 200 1.0× 57 0.7× 36 0.6× 15 0.3× 23 549
Adams Wei Yu 316 1.1× 188 0.9× 55 0.7× 41 0.7× 16 0.3× 17 522
Rongyao Fang 335 1.2× 229 1.1× 31 0.4× 25 0.4× 39 0.8× 6 505
Baigui Sun 368 1.3× 271 1.3× 21 0.3× 20 0.4× 42 0.9× 19 520
Jiemin Fang 377 1.3× 144 0.7× 75 0.9× 19 0.3× 16 0.3× 20 505
Ricardo Cabral 360 1.3× 178 0.9× 159 2.0× 51 0.9× 6 0.1× 9 523

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

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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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