Dianwei Wang

695 citations
49 papers · 456 · h-index 12

Impact in

Papers in

    • Image Enhancement Techniques 9
    • Advanced Image and Video Retrieval Techniques 7
    • Advanced Vision and Imaging 5
    • Video Surveillance and Tracking Methods 4
    • Image Retrieval and Classification Techniques 4
    • Advanced Image Fusion Techniques 8

Dianwei Wang

44 papers receiving 447 citations

Peers

Dianwei Wang
Comparison fields: 5 of 103
  • Biomaterials 70
  • Biomedical Engineering 196
  • Computer Vision and Pattern Recognition 77
  • Media Technology 27
  • Materials Chemistry 123
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Citations per field
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Citations per year

Countries citing papers authored by Dianwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dianwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202375
2 202250
3 201936
4 202032
5 202127
6 202323
7 202322
8 202322
9 202319
10 201414
11 201712
12 202411
13 202411
14 20198
15 20158
16 20207
17 20227
18 20197
19 20255
20 20195

About Dianwei Wang

Dianwei Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Biomedical Engineering and Electrical and Electronic Engineering, having authored 49 papers that have together received 456 indexed citations. Recurring topics across this work include Image Enhancement Techniques (9 papers), Nanoplatforms for cancer theranostics (9 papers), Advanced Image Fusion Techniques (8 papers), Infrared Target Detection Methodologies (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Vision and Imaging (5 papers), Video Surveillance and Tracking Methods (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Biomaterials (70 citations), Biomedical Engineering (196 citations), Computer Vision and Pattern Recognition (77 citations), Media Technology (27 citations) and Materials Chemistry (123 citations). Dianwei Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Huayu Tian, Xuesi Chen, Zhijie Xu, Zhen Li, Sijia Zhang, Kai Hao, Chaoliang He, Rihua Jiang, Yuanji Feng and Peng Zhang. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Biomaterials Science, Engineering Applications of Artificial Intelligence and Computers & Mathematics with Applications.

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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