Chenggang Yan is affiliated with Hangzhou Dianzi University in China and has contributed extensively to the fields of computer science and engineering. Their research primarily focuses on computer vision and pattern recognition, artificial intelligence, media technology, aerospace engineering, and signal processing. The total volume of publications attributed to these fields underscores their active engagement in advancing technological and scientific knowledge.
The subfields in which they have published include:
The main topics covered by their work reflect diverse interests within image processing and machine learning applications. These topics are:
Chenggang Yan's publication record includes articles in several notable venues. Frequent publication venues include:
The scientist's recent papers are representative of the topics and venues they engage with. These include:
Collaboration with other researchers forms a significant part of Chenggang Yan's work. Frequent coauthors include:
Yutian Lin;Liang Zheng;Zhedong Zheng;Yu Wu
Xing Chen;Chenggang Clarence Yan;Xiaotian Zhang;Xu Zhang
Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu-Hong You
Chenggang Yan;Biao Gong;Yuxuan Wei;Yue Gao
Junwei Han;Hao Chen;Nian Liu;Chenggang Yan
Chenggang Clarence Yan;Yongdong Zhang;Jizheng Xu;Feng Dai
Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu Hong You
Chenggang Yan;Yunbin Tu;Xingzheng Wang;Yongbing Zhang
Chenggang Yan;Yongdong Zhang;Jizheng Xu;Feng Dai
Qi Cai;Yingwei Pan;Ting Yao;Chenggang Yan
Yutian Lin;Lingxi Xie;Yu Wu;Chenggang Yan
Unknown
Chenggang Yan;Hongtao Xie;Dongbao Yang;Jian Yin
Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu-Hong You
Unknown
Tingyu Wang;Zhedong Zheng;Chenggang Yan;Jiyong Zhang
Chenggang Yan;Hongtao Xie;Shun Liu;Jian Yin
Chenggang Yan;Hongtao Xie;Jianjun Chen;Zhengjun Zha
Chenggang Yan;Liang Li;Chunjie Zhang;Bingtao Liu
Chenggang Yan;Biyao Shao;Hao Zhao;Ruixin Ning
Yang He;Xuanyi Dong;Guoliang Kang;Yanwei Fu
Chenggang Yan;Yongdong Zhang;Feng Dai;Xi Wang
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science doesn’t always mean a traditional, on-campus degree. There are many flexible ways to start or advance your tech career online. For those seeking quick entry into the field or career advancement, check out the shortest masters degree programs online. These accelerated options can help you earn your credentials faster and get into your dream job sooner.
When choosing your next step, consider programs that are in high demand. Tech roles are always evolving, so it’s smart to look at the most valuable masters degrees to boost your employability and earning potential.
Not everyone needs a master’s to launch a successful career. If you’re just starting out, an online associate’s degree is a cost-effective way to gain foundational skills in computer science and open doors to entry-level jobs or further study.
Lastly, affordability is key for many students. Discover cheap online degrees fast to minimize student debt while still getting a quality education in computing. Many of these programs offer flexible learning, letting you advance your career at your own pace.
University of Oxford
Wageningen University & Research
University of Oxford
McGill University
University of the Balearic Islands
Regeneron (United States)
University of Otago
Stanford University
Leiden University
RMIT University
Universiti Putra Malaysia
University of Ulm
University of New South Wales
Brown University
California State University, Sacramento
