The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lin Yang sits on this spectrum.
This scientist: 537 publications — 95th percentile
95% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Lin Yang sits on this spectrum.
This scientist: 65 D-Index — 83rd percentile
83% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Lin Yang is affiliated with the University of Florida in the United States and has a sustained research focus primarily within computer science, contributing to related subfields such as artificial intelligence, computer vision and pattern recognition, and radiology, nuclear medicine and imaging.
Their work frequently intersects with topics involving AI applications in cancer detection, digital imaging for blood diseases, and radiomics and machine learning in medical imaging. Other explored areas include domain adaptation and few-shot learning, advanced neural network applications, COVID-19 diagnosis using AI, and cell image analysis techniques.
Lin Yang's recent publications demonstrate engagement with advanced methods in intelligent rehabilitation and medical image analysis. Notable papers include:
The scientist collaborates frequently with a core group of co-authors, including Hansheng Li, Jun Feng, Lei Cui, Yuxin Kang, and Chenglu Zhu, each contributing to multiple joint publications.
Lin Yang's research is regularly published in venues such as arXiv (Cornell University), Computers & Security, Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Medical Imaging, and the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Baiyang Liu;Junzhou Huang;Lin Yang;Casimir Kulikowsk
Fuyong Xing;Lin Yang
Lin Yang;Yizhe Zhang;Jianxu Chen;Siyuan Zhang
Zizhao Zhang;Lin Yang;Yefeng Zheng
Fuyong Xing;Yuanpu Xie;Hai Su;Fujun Liu
Fuyong Xing;Yuanpu Xie;Lin Yang
Yizhe Zhang;Lin Yang;Jianxu Chen;Maridel Fredericksen
Zizhao Zhang;Yuanpu Xie;Fuyong Xing;Mason McGough
Zizhao Zhang;Yuanpu Xie;Lin Yang
Bin He;Lin Yang;C Wilke;Han Yuan
Jian Song;Zhixing Yang;Lin Yang;Ke Gong
Zizhao Zhang;Pingjun Chen;Mason McGough;Fuyong Xing
Xin Qi;Fuyong Xing;D. J. Foran;Lin Yang
Baiyang Liu;Lin Yang;Junzhou Huang;Peter Meer
Pingjun Chen;Linlin Gao;Xiaoshuang Shi;Kyle Allen
Yuanpu Xie;Fuyong Xing;Xiangfei Kong;Hai Su
Lin Yang;P. Meer;D.J. Foran
Tao Pei;Cheng-Zhi Qin;A-Xing Zhu;Lin Yang
Le Lu;Yefeng Zheng;Gustavo Carneiro;Lin Yang
Lin Yang;B. Georgescu;Yefeng Zheng;P. Meer
Baiyang Liu;Junzhou Huang;Casimir Kulikowski;Lin Yang
Jinzheng Cai;Le Lu;Yuanpu Xie;Fuyong Xing
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Exploring a career in Computer Science offers many flexible options, especially with the rise of online education. For those just beginning, an online associate's degree in Computer Science can provide a solid foundation and help you enter the workforce quickly or transfer to a bachelor's program later on.
If affordability is a top concern, consider researching the cheapest online college programs. These institutions can help you earn a reputable degree without overwhelming student debt, making your education more accessible.
Worried about your academic history? There are online graduate programs that accept 2.0 gpa, which means you still have the opportunity to advance your studies and career goals, even if your GPA isn't perfect.
Finally, with the growing demand for tech skills, Computer Science graduates can explore interdisciplinary fields. For example, there are high-paying jobs with environmental science degree that value computer science expertise in data analysis, modeling, and sustainability solutions.
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