Junbo Wang

484 citations
25 papers · 292 · h-index 9

Impact in

Papers in

Junbo Wang

21 papers receiving 289 citations

Peers

Junbo Wang
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 141
  • Biophysics 11
  • Infectious Diseases 26
  • Biomedical Engineering 63
  • Artificial Intelligence 28
Replace Arnold Smeulders with:
Arnold Smeulders Netherlands
Zixu Wang China
Zhenyu Weng China
Jiarong Ye United States
Mohammad Asadur Rahman Bangladesh
Zan Armstrong United States
Zichang Xu Japan
Bingfeng Luo China
Ya‐Qin Zhang China
Qiuyu Fang China
Junbo Wang relative to Arnold Smeulders Netherlands Arnold Smeulders's profile →
Citations per field
00.5×20×40×60×72×
Arnold Smeulders · 1×
Citations per year

Countries citing papers authored by Junbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junbo Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junbo Wang Line = papers co-authored together Junbo Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018115
2 202237
3 202221
4 202416
5 200414
6 202513
7 202012
8 201811
9 202410
10 20218
11 20227
12 20246
13 20256
14 20186
15 20252
16 20252
17 20242
18 20111
19 20251
20 20251

About Junbo Wang

Junbo Wang is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence and Immunology, having authored 25 papers that have together received 292 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (7 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Biosensors and Analytical Detection (3 papers), Multimodal Machine Learning Applications (3 papers), Human Pose and Action Recognition (2 papers), interferon and immune responses (2 papers), Electrical and Bioimpedance Tomography (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Biophysics (11 citations), Infectious Diseases (26 citations), Biomedical Engineering (63 citations) and Artificial Intelligence (28 citations). Junbo Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liang Wang, Tieniu Tan, Wei Wang, Yan Huang, Jian Chen, Deyong Chen, Hongyan Liang, Yuan Zhang, Wenhai Liu and Shan Gao. Their work appears in journals such as Cell, Nature Communications, Knowledge-Based Systems, Journal of Micromechanics and Microengineering and Journal of the American Chemical Society.

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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