Wang Bo

1.0k citations
43 papers · 615 · h-index 12

Impact in

Papers in

    • Advanced Neural Network Applications 9
    • Medical Image Segmentation Techniques 6
    • Image Enhancement Techniques 4
    • Advanced Image Processing Techniques 4
    • Video Analysis and Summarization 3
    • Multimodal Machine Learning Applications 3
    • Image and Signal Denoising Methods 3
    • Medical Imaging and Analysis 5

Wang Bo

39 papers receiving 605 citations

Peers

Wang Bo
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 193
  • Environmental Engineering 96
  • Building and Construction 84
  • Health Informatics 8
  • Radiology, Nuclear Medicine and Imaging 109
Replace Li Gong with:
Li Gong China
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Lang Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Wang Bo

Since Specialization
Citations

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

Fields of papers citing papers by Wang Bo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wang Bo, 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 Wang Bo Line = papers co-authored together Wang Bo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019158
2 2015118
3 202080
4 202233
5 202129
6 201627
7 201920
8 202116
9 201916
10 202214
11 201913
12 201912
13 201910
14 20089
15 20178
16 20226
17 20216
18 20235
19 20165
20 20194

About Wang Bo

Wang Bo is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Control and Systems Engineering, having authored 43 papers that have together received 615 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Medical Image Segmentation Techniques (6 papers), Medical Imaging and Analysis (5 papers), Image Enhancement Techniques (4 papers), Advanced Image Processing Techniques (4 papers), Video Analysis and Summarization (3 papers), Multimodal Machine Learning Applications (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (193 citations), Environmental Engineering (96 citations), Building and Construction (84 citations), Health Informatics (8 citations) and Radiology, Nuclear Medicine and Imaging (109 citations). Wang Bo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhengyan Zhang, Jerry McBeath, Tian Liu, Tonghe Wang, Yang Lei, Ashesh B. Jani, Sibo Tian, Walter J. Curran, Xiaofeng Yang and Pretesh Patel. Their work appears in journals such as The Visual Computer, Frontiers of Computer Science, Frontiers in Marine Science, Medical Physics and Soil Research.

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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