Xinliang Wang

465 citations
36 papers · 314 indexed · h-index 9
Topics
Advanced Sensor and Energy Harvesting Materials (4 papers)Anomaly Detection Techniques and Applications (4 papers)MXene and MAX Phase Materials (4 papers)

In The Last Decade

Xinliang Wang

29 papers receiving 307 citations

Peers

Xinliang Wang
Comparison fields: 5 of 76
  • Biomedical Engineering 197
  • Polymers and Plastics 77
  • Materials Chemistry 71
  • Electrical and Electronic Engineering 44
  • Mechanical Engineering 43
Replace Zehua Chen with:
Zehua Chen China
Shang Xiang China
Ao Yin China
Yiming Du China
Siyang Li China
Shuaibing Wang China
Huiqing Zhang China
Yanhui Jiang United States
Qinyuan Huang China
Xinliang Wang relative to Zehua Chen China Zehua Chen's profile →
Citations per field
00.5×1.5×2.4×
Zehua Chen · 1×
Citations per year

Countries citing papers authored by Xinliang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinliang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinliang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinliang Wang. A scholar is included among the top collaborators of Xinliang 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 Xinliang Wang. Xinliang 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 1
2 0
3 0
4 24
5 2
6 1
7 1
8 0
9 4
10 4
11 2
12 2
13 2
14 6
15 10
16 88
17 5
18
Inhibitory effects of the tectorigenin from Pueraria Flos on the proliferation of human hepatoma cell line SMMC-7721.
1
19 5
20
Neurological evaluation of cervical spinal cord injury employing ASIA standards
1

About Xinliang Wang

Xinliang Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Internal Medicine, having authored 36 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (4 papers), Anomaly Detection Techniques and Applications (4 papers) and MXene and MAX Phase Materials (4 papers). The work is most often cited by research in Polymers and Plastics (77 citations), Biomedical Engineering (197 citations) and Molecular Medicine (22 citations). Xinliang Wang has collaborated with scholars based in China, Malaysia and United Kingdom. Frequent co-authors include Tifeng Jiao, Zhihui Qin, Na Li, Juanjuan Yin, Lexin Zhang, Zhenlin Zhang, Xiaoming Wang, Xiaoming Wang, Ying Liu and Jisheng Li. Their work appears in journals such as Applied Physics Letters, Chemical Engineering Journal and IEEE Access.

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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