Zhou Chenghu
Chinese geographer
Facts
11 properties- Instance of
- human
- Date of birth
- 1964
- Country of citizenship
- People's Republic of China[3]
- Occupation
- geographer
- Employer
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[5][6]
- Position held
- member of the National Committee of the Chinese People's Political Consultative Conference[4]
- Educated at
- Nanjing University[7]
- Member of political party
- Jiusan Society[10]
- Member of
- Chinese Academy of Sciences[8]
🏷️ Also known as
en Chenghu Zhou
en Zhou Chenghu
zh 周成虎
🔖 Identifiers · 16
- ISNI
- 0000000050467187
- ORCID iD
- 0000-0003-3331-2302
- VIAF cluster ID
- 6817006
- Library of Congress Authorities ID
- n2006019596
- Arnet Miner author ID
- 542b7866dabfae20065fedcb
- BNB person ID (OBSOLETE)
- ZhouChenghu1964-
- DBLP author ID
- 85/1324
- Encyclopedia of China (Third Edition) ID (2026)
- 18mdAe
- Encyclopedia of China (Third Edition) old ID (2021)
- 123151
- Google Knowledge Graph ID
- /g/1hl3h7kzf
- HKCAN ID
- 9811112565003406
- NUKAT ID
- n2018040880
Show all 16 identifiers +4
- National Library of Korea ID
- KAC201102063
- OpenSanctions ID
- Zhou Chenghu
- WorldCat Entities ID
- E39PBJcR9XWdCyghWdbwFH86Kd
- Yale LUX ID
- person/facc647e-ec5b-4b4a-a58f-ff883b58b521
🔗 Connections
Author of 46
A Deep Neural Network for the Estimation of Tree Density Based on High-Spatial Resolution Image,
A distributed joint extraction framework for sedimentological entities and relations with federated learning,
A k-d tree-based algorithm to parallelize Kriging interpolation of big spatial data,
Algebraic encoding scheme for aperture 3 hexagonal discrete global grid system,
An adaptive representation model for geoscience knowledge graphs considering complex spatiotemporal features and relationships,
An Efficient Contrast Enhancement Method for Remote Sensing Images,
A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data,
A Sparse Dictionary Learning-Based Adaptive Patch Inpainting Method for Thick Clouds Removal from High-Spatial Resolution Remote Sensing Imagery
+38 more
← Authored by 46
A Deep Neural Network for the Estimation of Tree Density Based on High-Spatial Resolution Image,
A distributed joint extraction framework for sedimentological entities and relations with federated learning,
A k-d tree-based algorithm to parallelize Kriging interpolation of big spatial data,
Algebraic encoding scheme for aperture 3 hexagonal discrete global grid system,
An adaptive representation model for geoscience knowledge graphs considering complex spatiotemporal features and relationships,
An Efficient Contrast Enhancement Method for Remote Sensing Images,
A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data,
A Sparse Dictionary Learning-Based Adaptive Patch Inpainting Method for Thick Clouds Removal from High-Spatial Resolution Remote Sensing Imagery
+38 more
Affiliated with 11
Nanjing University,
Chinese Academy of Sciences,
Shanghai Jiao Tong University,
University of Chinese Academy of Sciences,
China University of Geosciences, Beijing,
Institute of Geographic Sciences and Natural Resources Research,
Guangdong Academy of Science,
Guangzhou Institute of Geography
+3 more
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Summary
Zhou Chenghu was born in 1964[1]. He worked as a geographer[2].
Body
Career and Affiliations
Employers include Institute of Geographic Sciences and Natural Resources Research[5], a research institute[12], in People's Republic of China[13], founded in 1999[14] and Chinese Academy of Sciences[6], an academy of sciences[15], in People's Republic of China[16], founded in 1949[17], headquartered in Beijing[18].
FAQs
What did Zhou Chenghu do for work?
Zhou Chenghu worked as geographer[2].
Where did Zhou Chenghu go to school?
Zhou Chenghu was educated at Nanjing University[7].