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 Jingtong Hu sits on this spectrum.
This scientist: 249 publications — 62nd percentile
62% 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 Jingtong Hu sits on this spectrum.
This scientist: 33 D-Index — 13th percentile
13% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Jingtong Hu is affiliated with the University of Pittsburgh in the United States and has a significant research profile primarily in the fields of Computer Science and Engineering. Their work spans several subfields, notably Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, and Computer Networks and Communications. Their research topics cover a variety of areas including Advanced Neural Network Applications, Advanced Memory and Neural Computing, Domain Adaptation and Few-Shot Learning, Ferroelectric and Negative Capacitance Devices, Cutaneous Melanoma Detection and Management, Privacy-Preserving Technologies in Data, and Energy Harvesting in Wireless Networks.
The recent publications of Jingtong Hu demonstrate collaboration within interdisciplinary topics and venues. Notable papers include:
The scientist frequently publishes in venues such as arXiv (Cornell University), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Embedded Computing Systems, IEEE Transactions on Computers, and Nature Machine Intelligence. This range indicates active participation in both preprint and peer-reviewed platforms across computing and machine intelligence.
Collaborations have been a consistent feature of their career, with repeated co-authorships involving several researchers. Frequent co-authors include:
Jingtong Hu's publication output reflects a strong focus on integrative approaches combining hardware and software innovations, particularly in neural architecture design and computing-in-memory hardware accelerators. Their research intersects with healthcare applications and resource-aware artificial intelligence as well, revealing multidisciplinary interests within technological and medical domains.
Yuming Xu;Kenli Li;Jingtong Hu;Keqin Li;Keqin Li
Jingtong Hu;Chun Jason Xue;Wei-Che Tseng;Yi He
Weiwen Jiang;Lei Yang;Edwin Hsing-Mean Sha;Qingfeng Zhuge
Ruirui Lu;Gang Wu;Bin Xie;Jingtong Hu
Weiwen Jiang;Xinyi Zhang;Edwin H.-M. Sha;Lei Yang
Jingtong Hu;Chun Jason Xue;Qingfeng Zhuge;Wei-Che Tseng
Yibo Guo;Qingfeng Zhuge;Jingtong Hu;Juan Yi
Mimi Xie;Mengying Zhao;Chen Pan;Jingtong Hu
Qing Lu;Weiwen Jiang;Xiaowei Xu;Yiyu Shi
Jing Mei;Kenli Li;Jingtong Hu;Shu Yin
Jingtong Hu;Qingfeng Zhuge;Chun Jason Xue;Wei-Che Tseng
Weiwen Jiang;Qiuwen Lou;Zheyu Yan;Lei Yang
Weiwen Jiang;Lei Yang;Sakyasingha Dasgupta;Jingtong Hu
Jingtong Hu;C. J. Xue;Qingfeng Zhuge;Wei-Che Tseng
Dewen Zeng;Yawen Wu;Xinrong Hu;Xiaowei Xu
Xiaowei Xu;Xinyi Zhang;Bei Yu;Xiaobo Sharon Hu
Yibo Guo;Qingfeng Zhuge;Jingtong Hu;Meikang Qiu
Liang Shi;Chun Jason Xue;Jingtong Hu;Wei-Che Tseng
Jingtong Hu;Chun Jason Xue;Qingfeng Zhuge;Wei-Che Tseng
Unknown
Weiwen Jiang;Edwin H.-M. Sha;Xinyi Zhang;Lei Yang
Xiaowei Xu;Xinyi Zhang;Bei Yu;X. Sharon Hu
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