Hongmeng Chen
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Yunnan University, Yunnan Arts University, Beijing Zhenxing Metrology & Measurement Institute, Beijing Institute of Radio Metrology and Measurementas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-1428-9012as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- OpenAlex ID
- A5051187033as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 14
A Computationally Efficient Airborne Forward-Looking Super-Resolution Imaging Method Based on Sparse Bayesian Learning,
Adaptive Detection of a Subspace Signal in Signal-Dependent Interference,
Adaptive Persymmetric Subspace Detectors in the Partially Homogeneous Environment,
Adaptive Subspace Signal Detection in Structured Interference Plus Compound Gaussian Sea Clutter,
Azimuth super-resolution of forward-looking imaging based on bayesian learning in complex scene,
Bayesian Forward-Looking Superresolution Imaging Using Doppler Deconvolution in Expanded Beam Space for High-Speed Platform,
Cross-Range Resolution Enhancement for DBS Imaging in a Scan Mode Using Aperture-Extrapolated Sparse Representation,
Forward-Looking Super-Resolution Imaging for Sea-Surface Target with Multi-Prior Bayesian Method
+6 more
← Authored by 14
A Computationally Efficient Airborne Forward-Looking Super-Resolution Imaging Method Based on Sparse Bayesian Learning,
Adaptive Detection of a Subspace Signal in Signal-Dependent Interference,
Adaptive Persymmetric Subspace Detectors in the Partially Homogeneous Environment,
Adaptive Subspace Signal Detection in Structured Interference Plus Compound Gaussian Sea Clutter,
Azimuth super-resolution of forward-looking imaging based on bayesian learning in complex scene,
Bayesian Forward-Looking Superresolution Imaging Using Doppler Deconvolution in Expanded Beam Space for High-Speed Platform,
Cross-Range Resolution Enhancement for DBS Imaging in a Scan Mode Using Aperture-Extrapolated Sparse Representation,
Forward-Looking Super-Resolution Imaging for Sea-Surface Target with Multi-Prior Bayesian Method
+6 more
Affiliated with 2
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Summary
Hongmeng Chen is a human[1].