Cailing Wang

846 citations
87 papers · 595 · h-index 13

Impact in

Papers in

    • Advanced Vision and Imaging 9
    • Advanced Image and Video Retrieval Techniques 7
    • Video Surveillance and Tracking Methods 6
    • Image and Signal Denoising Methods 5
    • Remote-Sensing Image Classification 11
    • Advanced Image Fusion Techniques 8

Cailing Wang

74 papers receiving 578 citations

Peers

Cailing Wang
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 175
  • Media Technology 54
  • Water Science and Technology 65
  • Aerospace Engineering 81
  • Mechanical Engineering 107
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Citations per field
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Citations per year

Countries citing papers authored by Cailing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cailing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007143
2 201029
3 202328
4 201626
5 201520
6 201819
7 201916
8 201615
9 202114
10 201214
11 201214
12 202413
13 202213
14 202012
15 202411
16 201110
17 20249
18 20139
19 20248
20 20227

About Cailing Wang

Cailing Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Atmospheric Science, Aerospace Engineering and Artificial Intelligence, having authored 87 papers that have together received 595 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (12 papers), Remote-Sensing Image Classification (11 papers), Advanced Vision and Imaging (9 papers), Advanced Image Fusion Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Video Surveillance and Tracking Methods (6 papers), Water Quality Monitoring and Analysis (5 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Media Technology (54 citations), Water Science and Technology (65 citations), Aerospace Engineering (81 citations) and Mechanical Engineering (107 citations). Cailing Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Li‐Zhi Zhang, Yuanyuan Wang, Hui Xiang, Huajun Liu, Chunxia Zhao, Xiao‐Yuan Jing, Yong Cheng, Zuoyong Li, Jingyu Yang and Guang Han. Their work appears in journals such as Neurocomputing, Propellants Explosives Pyrotechnics, Industrial Robot the international journal of robotics research and application, IEEE Transactions on Geoscience and Remote Sensing and Computers & Electrical Engineering.

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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