Bing Yang

564 citations
43 papers · 315 · h-index 11

Impact in

    • Face and Expression Recognition
    • Face recognition and analysis
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • 3D Surveying and Cultural Heritage

Papers in

    • Advanced Image and Video Retrieval Techniques 12
    • Image Retrieval and Classification Techniques 6
    • Visual Attention and Saliency Detection 5
    • Medical Image Segmentation Techniques 4
    • Face and Expression Recognition 4
    • Multimodal Machine Learning Applications 4

Bing Yang

39 papers receiving 310 citations

Peers

Bing Yang
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 175
  • Geology 27
  • Signal Processing 45
  • Space and Planetary Science 5
  • Artificial Intelligence 81
Replace Luca Lombardi with:
Luca Lombardi Italy
Haibing Ren China
Kevin J. Shih United States
Gou Koutaki Japan
Yoshiki Mizukami Japan
Chaoyou Fu China
Mihaela Gordan Romania
Chen-Kuo Chiang Taiwan
Zhengxin Li China
Bing Yang relative to Luca Lombardi Italy Luca Lombardi's profile →
Citations per field
00.5×5.2×
Luca Lombardi · 1×
Citations per year

Countries citing papers authored by Bing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bing Yang, 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 Bing Yang Line = papers co-authored together Bing Yang 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 201342
2 201336
3 201628
4 201223
5 202122
6 201721
7 202516
8 201416
9 201315
10 201311
11 202410
12 20249
13 20146
14 20116
15 20136
16 20215
17 20114
18 20144
19 20243
20 20143

About Bing Yang

Bing Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing and Cognitive Neuroscience, having authored 43 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Image Retrieval and Classification Techniques (6 papers), Robotics and Sensor-Based Localization (6 papers), Visual Attention and Saliency Detection (5 papers), Medical Image Segmentation Techniques (4 papers), Face and Expression Recognition (4 papers), Multimodal Machine Learning Applications (4 papers) and Biometric Identification and Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Geology (27 citations), Signal Processing (45 citations), Space and Planetary Science (5 citations) and Artificial Intelligence (81 citations). Bing Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhengming Ma, Yingmei Wei, Wanzeng Kong, Dong Qiu, Duanqing Xu, Lai Kang, Lingda Wu, Xiaohua Wang, Xin Yang and Yong Peng. Their work appears in journals such as Multimedia Tools and Applications, INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences, Engineering Applications of Artificial Intelligence, Engineering Failure Analysis and Neurocomputing.

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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