Yuanfu Lu

1.0k citations
12 papers · 637 indexed · h-index 10
Topics
Advanced Graph Neural Networks (10 papers)Recommender Systems and Techniques (5 papers)Complex Network Analysis Techniques (5 papers)
Journals
IEEE Transactions on Knowledge and Data EngineeringWorld Wide WebProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Yuanfu Lu

12 papers receiving 627 citations

Peers

Yuanfu Lu
Comparison fields: 5 of 52
  • Artificial Intelligence 538
  • Information Systems 284
  • Statistical and Nonlinear Physics 207
  • Computer Vision and Pattern Recognition 100
  • Computer Networks and Communications 62
Replace Aravind Sankar with:
Aravind Sankar United States
Shaohua Fan China
Jianxin Ma China
Huawei Shen China
Qiaoyu Tan United States
Fei Cai China
Yantao Jia China
Daokun Zhang Australia
Byron J. Gao United States
Wentao Ouyang China
Yuanfu Lu relative to Aravind Sankar United States Aravind Sankar's profile →
Citations per field
00.5×1.5×1.8×
Aravind Sankar · 1×
Citations per year

Countries citing papers authored by Yuanfu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanfu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanfu Lu

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 33
3 18
4 9
5 70
6 10
7 33
8 94
9 166
10 26
11 91
12 85

About Yuanfu Lu

Yuanfu Lu is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, having authored 12 papers that have together received 637 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (10 papers), Recommender Systems and Techniques (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (207 citations), Artificial Intelligence (538 citations) and Information Systems (284 citations). Yuanfu Lu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Chuan Shi, Yuan Fang, Zhiyuan Liu, Linmei Hu, Yanfang Ye, Xiao Wang, Philip S. Yu, Ruijia Wang, Xiao Wang and Peng Cui. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, World Wide Web and Proceedings of the AAAI Conference on Artificial Intelligence.

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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