Xiangwen Wang

1.1k total citations · 1 hit paper
52 papers, 638 citations indexed

About

Xiangwen Wang is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiangwen Wang has authored 52 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiangwen Wang's work include Advanced Memory and Neural Computing (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Advanced Electron Microscopy Techniques and Applications (4 papers). Xiangwen Wang is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Advanced Electron Microscopy Techniques and Applications (4 papers). Xiangwen Wang collaborates with scholars based in China, United States and United Kingdom. Xiangwen Wang's co-authors include Yonggang Lu, Zhenyu Lu, Yue Xi, Qiang Zhang, Xujuan Zhang, Ran Tian, Xiaojun Mu, Zhihe Wang, Xueyan Liu and Devis Di Tommaso and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Xiangwen Wang

46 papers receiving 615 citations

Hit Papers

Comprehensive survey on hierarchical clustering algorithm... 2022 2026 2023 2024 2022 40 80 120

Peers

Xiangwen Wang
Comparison fields: 5 of 130
  • Artificial Intelligence 98
  • Computer Vision and Pattern Recognition 92
  • Industrial and Manufacturing Engineering 82
  • Electrical and Electronic Engineering 67
  • Materials Chemistry 60
Replace Duo Xu with:
Duo Xu China
Yiliang Zhao United States
Li Tang China
Surajit Mondal India
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Wenqian Zhang China
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Duo Xu China View profile →
Citations per field, relative to Xiangwen Wang
Xiangwen Wang · 1×
Citations per year, relative to Xiangwen Wang
Xiangwen Wang · 1×

Countries citing papers authored by Xiangwen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangwen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangwen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangwen Wang. A scholar is included among the top collaborators of Xiangwen 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 Xiangwen Wang. Xiangwen 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
# Work Indexed citations
1 2
2 1
3 2
4 1
5 14
6 3
7 6
8 6
9 4
10 9
11 13
12 18
13 50
14 3
15 6
16 4
17 32
18
Image edge analysis algorithm based on block
1
19
Output and control of nitrogen oxides produced by household ozone generator as by-products.
1
20 9

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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