Longwen Zhang

1.2k total citations · 1 hit paper
24 papers, 832 citations indexed

About

Longwen Zhang is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Longwen Zhang has authored 24 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Materials Chemistry and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Longwen Zhang's work include Supercapacitor Materials and Fabrication (7 papers), Face recognition and analysis (6 papers) and 3D Shape Modeling and Analysis (6 papers). Longwen Zhang is often cited by papers focused on Supercapacitor Materials and Fabrication (7 papers), Face recognition and analysis (6 papers) and 3D Shape Modeling and Analysis (6 papers). Longwen Zhang collaborates with scholars based in China, Malaysia and United States. Longwen Zhang's co-authors include Wu Yang, Hao Guo, Ning Wu, Andy Tan, Tian Han, Zhongjun Yin, Mengni Xu, Xiaoqiong Wang, Mingyue Wang and Qixia Guan and has published in prestigious journals such as International Journal of Hydrogen Energy, Analytica Chimica Acta and ACM Transactions on Graphics.

In The Last Decade

Longwen Zhang

24 papers receiving 806 citations

Hit Papers

Rolling bearing fault diagnosis with combined convolution... 2021 2026 2022 2024 2021 50 100 150

Peers

Longwen Zhang
Comparison fields: 5 of 85
  • Electrical and Electronic Engineering 283
  • Materials Chemistry 277
  • Electronic, Optical and Magnetic Materials 230
  • Control and Systems Engineering 164
  • Inorganic Chemistry 138
Replace Yanfang Zhao with:
Yanfang Zhao China
Qilei Xu China
Ge Ma China
Liming Gao China
Amir Shahzad Pakistan
Mengjiao Li China
Mahmood Ul Haq China
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Yanfang Zhao China View profile →
Citations per field, relative to Longwen Zhang
Longwen Zhang · 1×
Citations per year, relative to Longwen Zhang
Longwen Zhang · 1×

Countries citing papers authored by Longwen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Longwen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longwen Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Longwen Zhang. A scholar is included among the top collaborators of Longwen 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 Longwen Zhang. Longwen Zhang 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 31
2 11
3 5
4 1
5 6
6 34
7 15
8 20
9 41
10 19
11
Rolling bearing fault diagnosis with combined convolutional neural networks and support vector machine breakdown →
151
12 33
13 29
14 28
15 96
16 48
17 36
18 38
19 15
20 19

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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