Hong Zhang
Chinese Academy of Sciences
492 Papers
1.3K Citations
Hong Zhang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Synthetic aperture radar & Chemistry. The author has an hindex of 52, co-authored 384 publications. Previous affiliations of Hong Zhang include Indiana University – Purdue University Indianapolis & ShanghaiTech University.
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Papers
Abnormally differentiated bone marrow mesenchymal stem cells develop into tumors in rats
Hongxia Yuan,Liao Shiqi,Zeng Jiayu,Xiaojuan Huang,Jieyu Zhang,Jing Zhao,Yu-xian Wang,Hong Zhang,Xiaoqi Wang,Shidong Liao,Wen-ru Tang,Zhengli Wei,Tian Caiping,Rong Yang,Fang Liu,Hongyun Guo,Yongdong Zhang +16 more
TL;DR: This study reveals the pathogenesis of tumors in respect to stem cells and indicates that the evolved heterogeneous cell clusters can lead to cancer.
Research on Preservation of Evidence Based on Remote Sensing Image Supported by GIS
Qiu Li,Long Zhang,Hong Zhang,C. Shi,Junbin Gao,Chenqiang Gao +5 more
- 01 Jul 2006
TL;DR: The concepts of natural evidence, natural preservation ofevidence and general preservation of evidence were proposed, based on remote sensing image which has objective truth, timeliness and high spatial resolution, and GIS efficient data management capabilities and visualization expression for the transformation of old city large scale area building removal.
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Complex-Valued Multi-Viewed UNet - An Application to SAR Image Segmentation
Yuhang Jin,Jinling He,Sirui Tian,Chao Wang,Hong Zhang +4 more
- 22 Sep 2021
TL;DR: Zhang et al. as discussed by the authors proposed a multi-view network based on the UNet structure, which can comprehensively use the dual-polarization SAR images to improve land cover segmentation.
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Building features extraction based on facade regularities using TerraSAR-X ST data
Jinxing Chen,Bo Zhang,Chao Wang,Hong Zhang,Fan Wu +4 more
- 29 Oct 2015
TL;DR: A framework to extract detailed high rise building features including building masks, orientations and stories is proposed which consists of processing at three levels, namely image level, region-of-interest (ROI) level and storey level.
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Autophagy, Inflammation, and Metabolism (AIM) Center in its second year
Vojo Deretic,Eric R. Prossnitz,Mark R. Burge,Matthew J. Campen,Judy L. Cannon,Ke Jian Liu,Meilian Liu,Pamela R. Hall,Larry A. Sklar,Lee Allers,Luisa Mariscal,Sally Ann Garcia,John Weaver,Eric H. Baehrecke,Christian Behrends,Francesco Cecconi,Patrice Codogno,Guang-Chao Chen,Zvulun Elazar,Eeva-Liisa Eskelinen,Bernard Fourie,Devrim Gozuacik,Wanjin Hong,Eun-Kyeong Jo,Terje Johansen,Gábor Juhász,Adi Kimchi,Nicholas T. Ktistakis,Guido Kroemer,Noboru Mizushima,Christian Münz,Fulvio Reggiori,David C. Rubinsztein,Kevin M. Ryan,Kate Schroder,Han-Min Shen,Anne Simonsen,Sharon A. Tooze,Maria I. Vaccaro,Tamotsu Yoshimori,Li Yu,Hong Zhang,Daniel J. Klionsky +42 more
TL;DR: AIM intends to invigorate research on overlapping areas between autophagy, inflammation and metabolism with a number of new initiatives to promote metabolomic research.
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