Zhichao Han

3.6k total citations · 1 hit paper
25 papers, 2.0k citations indexed

About

Zhichao Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zhichao Han has authored 25 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Zhichao Han's work include Advanced Graph Neural Networks (6 papers), Robotic Path Planning Algorithms (3 papers) and Imbalanced Data Classification Techniques (3 papers). Zhichao Han is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Robotic Path Planning Algorithms (3 papers) and Imbalanced Data Classification Techniques (3 papers). Zhichao Han collaborates with scholars based in China, Switzerland and Ireland. Zhichao Han's co-authors include Xiao-Ming Wu, Qimai Li, Junming Shao, Tao Zhou, Qinli Yang, Xiaojun Peng, Jiangli Fan, Yao Kang, Pengyun Wang and Jia Li and has published in prestigious journals such as Nature Communications, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Zhichao Han

20 papers receiving 1.9k citations

Hit Papers

Deeper Insights Into Graph Convolutional Networks for Sem... 2018 2026 2020 2023 2018 500 1000 1.5k

Peers

Zhichao Han
Comparison fields: 5 of 133
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 468
  • Statistical and Nonlinear Physics 406
  • Information Systems 301
  • Molecular Biology 220
Replace Qimai Li with:
Qimai Li Hong Kong
Jiejun Xu United States
Si Zhang United States
Monica Bianchini Italy
Dejing Dou China
Xiao Luo China
Stephan Günnemann Germany
Sungchul Kim United States
Federico Monti Italy
Yuan Fang China
Qimai Li Hong Kong View profile →
Citations per field, relative to Zhichao Han
Zhichao Han · 1×
Citations per year, relative to Zhichao Han
Zhichao Han · 1×

Countries citing papers authored by Zhichao Han

Since Specialization
Citations

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

Fields of papers citing papers by Zhichao Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhichao Han

This figure shows the co-authorship network connecting the top 25 collaborators of Zhichao Han. A scholar is included among the top collaborators of Zhichao Han 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 Zhichao Han. Zhichao Han 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 2
4 0
5 13
6 1
7 0
8 4
9 1
10 12
11 39
12 4
13 6
14 27
15 17
16
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning breakdown →
1551
17
Dynamics simulation on a planetary airbag buffering and landing system
0
18 80
19 1
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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2026