Xingjian Li

118 total papers · 1.5k total citations
57 papers, 761 citations indexed

About

Xingjian Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Xingjian Li has authored 57 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 11 papers in Computer Networks and Communications. Recurrent topics in Xingjian Li's work include Domain Adaptation and Few-Shot Learning (12 papers), Advanced Neural Network Applications (12 papers) and Multimodal Machine Learning Applications (8 papers). Xingjian Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Advanced Neural Network Applications (12 papers) and Multimodal Machine Learning Applications (8 papers). Xingjian Li collaborates with scholars based in China, United States and Macao. Xingjian Li's co-authors include Dejing Dou, Haoyi Xiong, Ji Liu, Xiao Zhang, Xuhong Li, Chengzhong Xu, Jiang Bian, Xuanyu Wu, Abulikemu Abuduweili and Humphrey Shi and has published in prestigious journals such as ACS Nano, Water Research and Scientific Reports.

In The Last Decade

Xingjian Li

50 papers receiving 746 citations

Hit Papers

Interpretable deep learni... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Xingjian Li 328 170 66 64 53 57 761
Yanbin Liu 241 0.7× 272 1.6× 97 1.5× 54 0.8× 36 0.7× 60 682
Tomas Krilavičius 297 0.9× 119 0.7× 68 1.0× 44 0.7× 48 0.9× 79 826
Dharmender Kumar 267 0.8× 97 0.6× 110 1.7× 94 1.5× 41 0.8× 64 818
Peter Malík 194 0.6× 92 0.5× 79 1.2× 71 1.1× 69 1.3× 31 621
Yunhui Guo 306 0.9× 275 1.6× 48 0.7× 32 0.5× 44 0.8× 50 811
Lianhua Chi 359 1.1× 136 0.8× 127 1.9× 84 1.3× 90 1.7× 56 646
Rui Li 263 0.8× 215 1.3× 128 1.9× 35 0.5× 53 1.0× 73 822
Liang Zhao 398 1.2× 297 1.7× 97 1.5× 80 1.3× 58 1.1× 62 842
M. Arif Wani 227 0.7× 271 1.6× 84 1.3× 52 0.8× 76 1.4× 63 792
Sajjad Mohsin 138 0.4× 294 1.7× 69 1.0× 55 0.9× 62 1.2× 50 657

Countries citing papers authored by Xingjian Li

Since Specialization
Citations

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

Fields of papers citing papers by Xingjian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjian Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjian Li. A scholar is included among the top collaborators of Xingjian Li 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 Xingjian Li. Xingjian Li 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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