Zhikun Wang

32 papers receiving 553 citations

Peers

Zhikun Wang
Comparison fields: 5 of 102
  • Artificial Intelligence 212
  • Biomedical Engineering 122
  • Computer Networks and Communications 106
  • Computer Vision and Pattern Recognition 88
  • Control and Systems Engineering 56
Replace Hao Tian with:
Hao Tian China
Mounib Khanafer Kuwait
Zhenhua Huang China
Awni Hammouri Jordan
Mohamad Khairi Ishak Malaysia
Saptarshi Sengupta United States
Wenyong Dong China
Esra’a Alkafaween Jordan
Geeta Rani India
Xu Zhou China
Zhikun Wang relative to Hao Tian China Hao Tian's profile →
Citations per field
00.5×5.8×
Hao Tian · 1×
Citations per year

Countries citing papers authored by Zhikun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhikun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhikun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhikun Wang. A scholar is included among the top collaborators of Zhikun Wang 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 Zhikun Wang. Zhikun Wang 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
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 1
6 4
7 9
8 2
9 109
10 3
11 5
12
Damage evolution and dynamic constitutive model of geopolymeric concrete at elevated temperature
2
13 10
14
Domain Adaptation under Target and Conditional Shift
197
15 2
16 3
17 11
18 3
19
PRO: a popularity-based multi-threaded reconstruction optimization for RAID-structured storage systems
83
20
The Characteristics of Bioaccumulation and Tolerance Mechanism of Hyperaccumulator
2

About Zhikun Wang

Zhikun Wang is a scholar working on Geology, Computer Networks and Communications and Energy Engineering and Power Technology, having authored 39 papers that have together received 588 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (6 papers), Hydrocarbon exploration and reservoir analysis (4 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Artificial Intelligence (212 citations), Hardware and Architecture (35 citations) and Computer Networks and Communications (106 citations). Zhikun Wang has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Kun Zhang, Krikamol Muandet, Xinchun Lin, Junjie Chen, Ri‐Sheng Yu, Hanyin Li, Xiaojun Shen, Tiezhou Wu, Dan Feng and Ke Zhou. Their work appears in journals such as Bioresource Technology, IEEE Transactions on Industrial Electronics and ACS Sustainable Chemistry & Engineering.

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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