Changbo Yang

402 citations
13 papers · 301 · h-index 7

Impact in

    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Video Analysis and Summarization
    • Robotic Path Planning Algorithms
    • Medical Image Segmentation Techniques
    • Remote-Sensing Image Classification

Papers in

Changbo Yang

13 papers receiving 286 citations

Peers

Changbo Yang
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 253
  • Media Technology 42
  • Automotive Engineering 25
  • Artificial Intelligence 58
  • Signal Processing 13
Replace Qingyuan Li with:
Qingyuan Li China
Shih-Yang Su Taiwan
Yuting Chen China
Inas Jawad Kadhim Iraq
Tobias Grüning Germany
Zenilton K. G. Patrocínio Brazil
Yassin M. Y. Hasan Egypt
Dileep Kumar Yadav India
Xiangyuan Zhu China
Changbo Yang relative to Qingyuan Li China Qingyuan Li's profile →
Citations per field
00.5×5×10×14×
Qingyuan Li · 1×
Citations per year

Countries citing papers authored by Changbo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Changbo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Changbo 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 Changbo Yang Line = papers co-authored together Changbo Yang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2006131
2 200563
3 202227
4 200520
5 200519
6 202314
7 20247
8 20246
9 20054
10 20064
11 20233
12 20242
13 20241

About Changbo Yang

Changbo Yang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Media Technology, Hematology and Artificial Intelligence, having authored 13 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Remote-Sensing Image Classification (3 papers), Electric Vehicles and Infrastructure (3 papers), Text and Document Classification Technologies (2 papers), Electric and Hybrid Vehicle Technologies (2 papers), Advanced Battery Technologies Research (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (253 citations), Media Technology (42 citations), Automotive Engineering (25 citations), Artificial Intelligence (58 citations) and Signal Processing (13 citations). Changbo Yang has collaborated with scholars based in United States and China. Frequent co-authors include Ming Dong, Jing Hua, Farshad A. Fotouhi, Yanmei Meng, Jihong Zhu, Xin Liu, Yujin Chen, Jingyi Shi, Yujie Liu and Xianming Shi. Their work appears in journals such as Construction and Building Materials, Journal of Energy Storage, AIP Advances, The American Journal of Human Genetics and International Journal on Semantic Web and Information Systems.

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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