Xiaoyi Zeng

672 total citations
27 papers, 316 citations indexed

About

Xiaoyi Zeng is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaoyi Zeng has authored 27 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 11 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaoyi Zeng's work include Recommender Systems and Techniques (9 papers), Caching and Content Delivery (7 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xiaoyi Zeng is often cited by papers focused on Recommender Systems and Techniques (9 papers), Caching and Content Delivery (7 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xiaoyi Zeng collaborates with scholars based in China, United States and Hong Kong. Xiaoyi Zeng's co-authors include Tao Zhuang, Xiang Li, Fuyu Lv, Kai Shuang, Xiang Li, Zhixuan Zhang, Keping Yang, Qingwen Liu, Bin Tong and Jiwei Tan and has published in prestigious journals such as IEEE Internet of Things Journal, Materials and Journal of Alzheimer s Disease.

In The Last Decade

Xiaoyi Zeng

24 papers receiving 302 citations

Peers

Xiaoyi Zeng
Comparison fields: 5 of 74
  • Artificial Intelligence 175
  • Information Systems 124
  • Computer Vision and Pattern Recognition 109
  • Computer Networks and Communications 29
  • Demography 25
Replace Edi Noersasongko with:
Edi Noersasongko Indonesia
J. V. R. Murthy India
Nashrul Hakiem Indonesia
Hongyan Cui China
Stefano Silvestri Italy
Mingyang Zhang China
In-Ho Kang South Korea
Rajkumar Rajavel India
Anand Shanker Tewari India
Shady Shehata Canada
Edi Noersasongko Indonesia View profile →
Citations per field, relative to Xiaoyi Zeng
Xiaoyi Zeng · 1×
Citations per year, relative to Xiaoyi Zeng
Xiaoyi Zeng · 1×

Countries citing papers authored by Xiaoyi Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyi Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyi Zeng. A scholar is included among the top collaborators of Xiaoyi Zeng 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 Xiaoyi Zeng. Xiaoyi Zeng 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 0
4 13
5 2
6 0
7 4
8 3
9 4
10 7
11 3
12 2
13 9
14 19
15 20
16
Neuron-level Structured Pruning using Polarization Regularizer
40
17 22
18 36
19 37
20 3

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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