Fan Liu

1.6k total citations · 1 hit paper
57 papers, 924 citations indexed

About

Fan Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fan Liu has authored 57 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 21 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fan Liu's work include Recommender Systems and Techniques (21 papers), Advanced Graph Neural Networks (11 papers) and Topic Modeling (9 papers). Fan Liu is often cited by papers focused on Recommender Systems and Techniques (21 papers), Advanced Graph Neural Networks (11 papers) and Topic Modeling (9 papers). Fan Liu collaborates with scholars based in China, Singapore and United States. Fan Liu's co-authors include Zhiyong Cheng, Liqiang Nie, Zan Gao, Lei Zhu, J.A. van Kan, Mohan Kankanhalli, Yuxin Peng, Johan R. C. van der Maarel, Lei Zhu and Zeneng Cheng and has published in prestigious journals such as Nucleic Acids Research, Biophysical Journal and The Journal of Physical Chemistry Letters.

In The Last Decade

Fan Liu

51 papers receiving 910 citations

Hit Papers

Interest-aware Message-Passing GCN for Recommendation 2021 2026 2022 2024 2021 50 100 150

Peers

Fan Liu
Comparison fields: 5 of 106
  • Information Systems 457
  • Artificial Intelligence 453
  • Computer Vision and Pattern Recognition 162
  • Molecular Biology 144
  • Biomedical Engineering 108
Replace William H. Hsu with:
William H. Hsu United States
Arnab Bhattacharya India
Tony White Canada
Khashayar Rohanimanesh United States
Xavier Llorà United States
Yao Cheng Taiwan
Alneu de Andrade Lopes Brazil
Jianjia Wang China
Toshiyuki Amagasa Japan
Jaeyoung Choi South Korea
William H. Hsu United States View profile →
Citations per field, relative to Fan Liu
Fan Liu · 1×
Citations per year, relative to Fan Liu
Fan Liu · 1×

Countries citing papers authored by Fan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Liu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 7
4 3
5 0
6 3
7 1
8 15
9 50
10 39
11 24
12 1
13 1
14 10
15 51
16 0
17 34
18 21
19 43
20
Spatial variability of soil nitrogen in different scales and nested simulation
2

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