Zihan Guo

725 total citations
39 papers, 549 citations indexed

About

Zihan Guo is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Zihan Guo has authored 39 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Zihan Guo's work include Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Zihan Guo is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Zihan Guo collaborates with scholars based in China, United States and Australia. Zihan Guo's co-authors include Lei Chen, Dezhi Han, Jianpeng Zhou, Tao Liu, Shuaiqun Wang, Xiaolin Zhang, Xian Zhao, Chongqing Chen, Xiang Shen and Gaofeng Luo and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Zihan Guo

37 papers receiving 546 citations

Peers

Zihan Guo
Comparison fields: 5 of 101
  • Molecular Biology 283
  • Artificial Intelligence 132
  • Computational Theory and Mathematics 114
  • Computer Vision and Pattern Recognition 104
  • Cancer Research 59
Replace Ka‐Lok Ng with:
Ka‐Lok Ng Taiwan
Ladislav Rampášek Canada
Len Trigg New Zealand
Ziqi Pan China
Jiahua Rao China
Jiajun Hong China
Shixiang Wan China
Francis D. Gibbons United States
Zerrin Işık Türkiye
Ka‐Lok Ng Taiwan View profile →
Citations per field, relative to Zihan Guo
Zihan Guo · 1×
Citations per year, relative to Zihan Guo
Zihan Guo · 1×

Countries citing papers authored by Zihan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Zihan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Zihan Guo. A scholar is included among the top collaborators of Zihan 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 Zihan Guo. Zihan 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 5
2 1
3 0
4 0
5 3
6 7
7 4
8 1
9 2
10 10
11 15
12 11
13 1
14 4
15 38
16 2
17 5
18 5
19 3
20 24

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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