Yunhui Guo

1.9k total citations · 1 hit paper
50 papers, 834 citations indexed

About

Yunhui Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Yunhui Guo has authored 50 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Yunhui Guo's work include Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Neural Network Applications (6 papers). Yunhui Guo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Neural Network Applications (6 papers). Yunhui Guo collaborates with scholars based in United States, China and Poland. Yunhui Guo's co-authors include Tajana Rosing, Rogério Feris, Humphrey Shi, Abhishek Kumar, Kristen Grauman, Yandong Li, Liqiang Wang, Stella X. Yu, Xudong Wang and Cui‐Hui Sun and has published in prestigious journals such as IEEE Transactions on Communications, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Yunhui Guo

45 papers receiving 802 citations

Hit Papers

SpotTune: Transfer Learning Through Adaptive Fine-Tuning 2019 2026 2021 2023 2019 100 200 300

Peers

Yunhui Guo
Comparison fields: 5 of 133
  • Artificial Intelligence 311
  • Computer Vision and Pattern Recognition 282
  • Molecular Biology 98
  • Electrical and Electronic Engineering 80
  • Plant Science 74
Replace Sujuan Hou with:
Sujuan Hou China
Meng Zhao China
Shengsheng Wang China
Chirag Patel India
Rafael Marcos Luque‐Baena Spain
M. Arif Wani India
En Fan China
Ashima Singh India
Abu Sarwar Zamani Saudi Arabia
Sujuan Hou China View profile →
Citations per field, relative to Yunhui Guo
Yunhui Guo · 1×
Citations per year, relative to Yunhui Guo
Yunhui Guo · 1×

Countries citing papers authored by Yunhui Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yunhui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunhui Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yunhui Guo. A scholar is included among the top collaborators of Yunhui Guo 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 Yunhui Guo. Yunhui Guo 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 0
2 0
3 4
4 4
5 0
6 3
7 4
8 5
9 1
10 1
11 1
12 5
13 9
14
Improved Schemes for Episodic Memory-based Lifelong Learning
4
15 11
16
A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning.
20
17 50
18 35
19
Constrained preference embedding for item recommendation
5
20 34

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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2026