Yulong Gu

779 total citations · 1 hit paper
26 papers, 457 citations indexed

About

Yulong Gu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yulong Gu has authored 26 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Yulong Gu's work include Recommender Systems and Techniques (11 papers), Caching and Content Delivery (7 papers) and Human Mobility and Location-Based Analysis (6 papers). Yulong Gu is often cited by papers focused on Recommender Systems and Techniques (11 papers), Caching and Content Delivery (7 papers) and Human Mobility and Location-Based Analysis (6 papers). Yulong Gu collaborates with scholars based in China, United States and France. Yulong Gu's co-authors include Zhuoye Ding, Shuaiqiang Wang, Dawei Yin, Pei Feng, Cijun Shuai, Feng Yang, Lixin Zou, Jiaxing Song, Yiding Liu and Hao Pan and has published in prestigious journals such as Materials Horizons, International Journal of Quantum Chemistry and NMR in Biomedicine.

In The Last Decade

Yulong Gu

23 papers receiving 444 citations

Hit Papers

Ag-doped CNT/HAP nanohybrids in a PLLA bone scaffold show... 2024 2026 2025 2024 10 20 30 40 50

Peers

Yulong Gu
Comparison fields: 5 of 78
  • Information Systems 239
  • Artificial Intelligence 198
  • Biomedical Engineering 88
  • Computer Vision and Pattern Recognition 74
  • Transportation 52
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Citations per field, relative to Yulong Gu
Yulong Gu · 1×
Citations per year, relative to Yulong Gu
Yulong Gu · 1×

Countries citing papers authored by Yulong Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yulong Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulong Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yulong Gu. A scholar is included among the top collaborators of Yulong Gu 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 Yulong Gu. Yulong Gu 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 4
2 2
3
Ag-doped CNT/HAP nanohybrids in a PLLA bone scaffold show significant antibacterial activity breakdown →
50
4 3
5 19
6 11
7
Efficient Rule Learning with Template Saturation for Knowledge Graph Completion.
1
8 64
9 37
10 58
11 6
12
Chapter 11 Methods for Descriptive Studies
0
13 3
14 3
15 0
16 14
17 1
18 5
19
[Development and validation of a finite element model of human knee joint for dynamic analysis].
1
20 1

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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