Daokun Zhang

988 total citations · 1 hit paper
18 papers, 517 citations indexed

About

Daokun Zhang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Daokun Zhang has authored 18 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 4 papers in Molecular Biology. Recurrent topics in Daokun Zhang's work include Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (7 papers) and Topic Modeling (3 papers). Daokun Zhang is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (7 papers) and Topic Modeling (3 papers). Daokun Zhang collaborates with scholars based in Australia, United States and China. Daokun Zhang's co-authors include Jie Yin, Chengqi Zhang, Xingquan Zhu, Weiming Huang, Lizhen Cui, Shirui Pan, Yu Zheng, Yixin Liu, Hongxu Chen and Hao Peng and has published in prestigious journals such as Expert Systems with Applications, British Journal of Pharmacology and Journal of Chemical Theory and Computation.

In The Last Decade

Daokun Zhang

18 papers receiving 508 citations

Hit Papers

Towards Unsupervised Deep Graph Structure Learning 2022 2026 2023 2024 2022 40 80 120

Peers

Daokun Zhang
Comparison fields: 5 of 90
  • Artificial Intelligence 310
  • Statistical and Nonlinear Physics 176
  • Transportation 86
  • Computer Vision and Pattern Recognition 81
  • Molecular Biology 71
Replace José F. Vicent with:
José F. Vicent Spain
Chenyi Zhuang Japan
Lin Pan China
Ya Zhao China
Eleftherios Tiakas Greece
Mathieu Sinn Ireland
Yongjiao Sun China
Qingyong Wang China
Mahmud Hasan Australia
Sebastian Bremm Germany
José F. Vicent Spain View profile →
Citations per field, relative to Daokun Zhang
Daokun Zhang · 1×
Citations per year, relative to Daokun Zhang
Daokun Zhang · 1×

Countries citing papers authored by Daokun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Daokun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daokun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Daokun Zhang. A scholar is included among the top collaborators of Daokun Zhang 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 Daokun Zhang. Daokun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 3
2 1
3 8
4 3
5 11
6 20
7 13
8 12
9 46
10
Towards Unsupervised Deep Graph Structure Learning breakdown →
125
11 6
12 4
13 68
14 31
15 14
16 59
17 72
18 21

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026