Depeng Yang

615 citations
24 papers · 481 · h-index 15

Impact in

Papers in

Depeng Yang

23 papers receiving 440 citations

Peers

Depeng Yang
Comparison fields: 5 of 56
  • Computational Mathematics 5
  • Signal Processing 86
  • Computational Mechanics 132
  • Electrical and Electronic Engineering 262
  • Computer Networks and Communications 100
Replace Jia Zhou with:
Jia Zhou China
Min Luo China
Zhenyong Wang China
Jiong Li China
D. V. Rama Koti Reddy India
Chia-Yu Yao Taiwan
Zhihui Gao United States
Renwei Zhang China
Wanqing Tu United Kingdom
Depeng Yang relative to Jia Zhou China Jia Zhou's profile →
Citations per field
00.5×6.6×
Jia Zhou · 1×
Citations per year

Countries citing papers authored by Depeng Yang

Since Specialization
Citations

This map shows the geographic impact of Depeng Yang'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 Depeng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Depeng Yang more than expected).

Fields of papers citing papers by Depeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Depeng Yang. 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 Depeng Yang. The network helps show where Depeng Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Depeng Yang, 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 Depeng Yang Line = papers co-authored together Depeng Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201281
2 202243
3 201142
4 201237
5 201734
6 200931
7 200831
8 200926
9 201019
10 201017
11 201217
12 201115
13 201115
14
Performance Comparison of Cholesky Decomposition on GPUs and FPGAs
201115
15
High Performance Reconfigurable Computing for Cholesky Decomposition
200914
16 20118
17 20098
18 20118
19
High Performance Relevance Vector Machine on GPUs
20118
20 20097

About Depeng Yang

Depeng Yang is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing and Computer Networks and Communications, having authored 24 papers that have together received 481 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (12 papers), Microwave Imaging and Scattering Analysis (7 papers), Ultra-Wideband Communications Technology (6 papers), Blind Source Separation Techniques (5 papers), Indoor and Outdoor Localization Technologies (3 papers), Smart Grid Energy Management (3 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers) and Magnesium Alloys: Properties and Applications (2 papers). The work is most often cited by research in Computational Mathematics (5 citations), Signal Processing (86 citations), Computational Mechanics (132 citations), Electrical and Electronic Engineering (262 citations) and Computer Networks and Communications (100 citations). Depeng Yang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Gregory D. Peterson, Husheng Li, Zhu Han, Aly E. Fathy, Lifeng Lai, Robert C. Qiu, Husheng Li, Shuping Gong, Zhenghao Zhang and Changxing Pei. Their work appears in journals such as Parallel Computing, Digital Signal Processing, Metals, Journal of Materials Research and Technology and BMC Infectious Diseases.

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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