Sijie Wang

901 total citations · 1 hit paper
40 papers, 563 citations indexed

About

Sijie Wang is a scholar working on Computer Vision and Pattern Recognition, Immunology and Artificial Intelligence. According to data from OpenAlex, Sijie Wang has authored 40 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Immunology and 6 papers in Artificial Intelligence. Recurrent topics in Sijie Wang's work include Image and Signal Denoising Methods (5 papers), Immune cells in cancer (4 papers) and Advanced Image Fusion Techniques (3 papers). Sijie Wang is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Immune cells in cancer (4 papers) and Advanced Image Fusion Techniques (3 papers). Sijie Wang collaborates with scholars based in China, Canada and Singapore. Sijie Wang's co-authors include Alissa N. Antle, Jiangnan Zhang, Kewen Xia, Theresa Jean Tanenbaum, Katie Seaborn, Jian You, Yichao Lu, Lihua Luo, Xuemeng Guo and Xü Liu and has published in prestigious journals such as ACS Nano, Nature Nanotechnology and Biomaterials.

In The Last Decade

Sijie Wang

31 papers receiving 549 citations

Hit Papers

Neutrophil hitchhiking for drug delivery to the bone marrow 2023 2026 2024 2025 2023 25 50 75 100

Peers

Sijie Wang
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 128
  • Biomedical Engineering 98
  • Molecular Biology 83
  • Human-Computer Interaction 82
  • Immunology 64
Replace Pei‐Hsuan Lin with:
Pei‐Hsuan Lin Taiwan
Ziming Li China
Lian Li China
Hasan Abbas United Kingdom
Việt Dũng Nguyễn Vietnam
Jee‐In Kim South Korea
Chengyao Wang China
Qi Gao China
H. Maaß Germany
Xi Wang China
Pei‐Hsuan Lin Taiwan View profile →
Citations per field, relative to Sijie Wang
Sijie Wang · 1×
Citations per year, relative to Sijie Wang
Sijie Wang · 1×

Countries citing papers authored by Sijie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sijie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sijie Wang. A scholar is included among the top collaborators of Sijie 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 Sijie Wang. Sijie 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 0
2 4
3 0
4 0
5 1
6 2
7 2
8 10
9 1
10 4
11 2
12 2
13 3
14 7
15 27
16
Neutrophil hitchhiking for drug delivery to the bone marrow breakdown →
118
17 8
18 38
19 9
20 38

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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2026