Shengheng Liu

2.6k citations
90 papers · 1.9k indexed · h-index 23

Shengheng Liu

84 papers receiving 1.9k citations

Peers

Shengheng Liu
Comparison fields: 5 of 76
  • Signal Processing 370
  • Aerospace Engineering 690
  • Electrical and Electronic Engineering 880
  • Computational Mechanics 261
  • Computer Vision and Pattern Recognition 203
Replace Massimo Donelli with:
Massimo Donelli Italy
Marco Salucci Italy
Miloš Daković Montenegro
Antonia Papandreou‐Suppappola United States
Andrea Randazzo Italy
Jibin Zheng China
R. Lyons United States
Hao Ling United States
Peter O’Shea Australia
Siliang Wu China
Shengheng Liu relative to Massimo Donelli Italy Massimo Donelli's profile →
Citations per field
00.5×1.5×2.5×
Massimo Donelli · 1×
Citations per year

Countries citing papers authored by Shengheng Liu

Since Specialization
Citations

This map shows the geographic impact of Shengheng Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shengheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengheng Liu more than expected).

Fields of papers citing papers by Shengheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shengheng Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shengheng Liu. The network helps show where Shengheng Liu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shengheng Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shengheng Liu Line = papers co-authored together Shengheng Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20241
5 20241
6 20240
7 20247
8 202244
9 202214
10 202132
11 202175
12 2021122
13 20213
14 202161
15 202111
16 202066
17
Accelerated Structure-Aware Sparse Bayesian Learning for 3D Electrical Impedance Tomography
20197
18 2018168
19 201885
20 20187

About Shengheng Liu

Shengheng Liu is a scholar working on Signal Processing, Aerospace Engineering and Electrical and Electronic Engineering, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (25 papers), Direction-of-Arrival Estimation Techniques (22 papers), Advanced SAR Imaging Techniques (20 papers), Indoor and Outdoor Localization Technologies (16 papers), Sparse and Compressive Sensing Techniques (11 papers), Speech and Audio Processing (11 papers), Millimeter-Wave Propagation and Modeling (10 papers) and Image and Signal Denoising Methods (9 papers). The work is most often cited by research in Signal Processing (370 citations), Aerospace Engineering (690 citations) and Electrical and Electronic Engineering (880 citations). Shengheng Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongming Huang, Yimin D. Zhang, Tao Shan, Ran Tao, Jiabin Jia, Yunjie Yang, Hancong Wu, Chunmei Xu, Kai‐Kit Wong and Lüxi Yang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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