Haixin Wang

923 total citations
41 papers, 557 citations indexed

About

Haixin Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Haixin Wang has authored 41 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Haixin Wang's work include Advanced Image and Video Retrieval Techniques (8 papers), Synthesis and biological activity (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Haixin Wang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Synthesis and biological activity (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Haixin Wang collaborates with scholars based in China, United States and Hong Kong. Haixin Wang's co-authors include Xiao Luo, Xian‐Sheng Hua, Chong Chen, E.R. Dougherty, Lijun Qian, Daqing Wu, Minghua Deng, Jianqiang Huang, Jun Shi and Haiying Liu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Haixin Wang

36 papers receiving 543 citations

Peers

Haixin Wang
Comparison fields: 5 of 126
  • Molecular Biology 140
  • Computer Vision and Pattern Recognition 130
  • Artificial Intelligence 105
  • Computer Networks and Communications 61
  • Organic Chemistry 48
Replace Hoa N. Nguyen with:
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Daniel Berrar Japan
Yuhan Cai China
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Rajib Chakravorty Australia
Zhongxiao Li Saudi Arabia
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Haozhe Xie China
Yue Pan China
Hoa N. Nguyen Vietnam View profile →
Citations per field, relative to Haixin Wang
Haixin Wang · 1×
Citations per year, relative to Haixin Wang
Haixin Wang · 1×

Countries citing papers authored by Haixin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haixin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haixin Wang. A scholar is included among the top collaborators of Haixin 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 Haixin Wang. Haixin 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 3
2 0
3 0
4 1
5 0
6 0
7 13
8 11
9 1
10 44
11 12
12 0
13 6
14 6
15 7
16 4
17
SPCDet: Enhancing Object Detection with Combined Feature Fusing
1
18 4
19 16
20 16

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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