Xiulin Wang

450 citations
36 papers · 298 indexed · h-index 9
Topics
Advanced Neuroimaging Techniques and Applications (7 papers)Tensor decomposition and applications (6 papers)Hybrid Renewable Energy Systems (5 papers)
Partner nations
ChinaFinlandNorway

In The Last Decade

Xiulin Wang

27 papers receiving 287 citations

Peers

Xiulin Wang
Comparison fields: 5 of 70
  • Cognitive Neuroscience 112
  • Signal Processing 73
  • Energy Engineering and Power Technology 54
  • Electrical and Electronic Engineering 39
  • Materials Chemistry 36
Replace Faisal M. Alotaibi with:
Faisal M. Alotaibi Saudi Arabia
Georg Eckel Germany
Wenya Liu China
Tian Chen China
Saeid Mehrkanoon Australia
Christos Chatzichristos Belgium
Xinwu Yang China
Andrea Schmidt Germany
Yong Jiao China
Yashwant Joshi India
Xiulin Wang relative to Faisal M. Alotaibi Saudi Arabia Faisal M. Alotaibi's profile →
Citations per field
00.5×3.6×
Faisal M. Alotaibi · 1×
Citations per year

Countries citing papers authored by Xiulin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiulin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiulin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiulin Wang. A scholar is included among the top collaborators of Xiulin 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 Xiulin Wang. Xiulin 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
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2 1
3 0
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12 5
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15 30
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17
Coupled Nonnegative Matrix/Tensor Factorization in Brain Imaging Data
1
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19
Incidence of Gastric Myoelectrical Dysrhythmia in Patients with Functional Dyspepsia
2
20 29

About Xiulin Wang

Xiulin Wang is a scholar working on Computational Mathematics, Energy Engineering and Power Technology and Catalysis, having authored 36 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (7 papers), Tensor decomposition and applications (6 papers) and Hybrid Renewable Energy Systems (5 papers). The work is most often cited by research in Computational Mathematics (26 citations), Energy Engineering and Power Technology (54 citations) and Signal Processing (73 citations). Xiulin Wang has collaborated with scholars based in China, Finland and Norway. Frequent co-authors include Fengyu Cong, Wenya Liu, Tommi Kärkkäinen, Zheng Chang, Xiaoshuang Wang, Qiu‐Hua Lin, Xiao‐Feng Gong, Chao Zhang, Qianqian Zhang and Lei Wang. Their work appears in journals such as Scientific Reports, Brain Research and Applied Energy.

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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