Shengqi Yang

4.2k citations
109 papers · 2.9k indexed · 1 hit paper · h-index 28
Topics
Semiconductor materials and devices (22 papers)Advancements in Semiconductor Devices and Circuit Design (19 papers)Galaxies: Formation, Evolution, Phenomena (17 papers)

In The Last Decade

Shengqi Yang

103 papers receiving 2.8k citations

Hit Papers

Type 2 diabetes mellitus prediction model based on data m...2017202620202023201750100150200250

Peers

Shengqi Yang
Comparison fields: 5 of 123
  • Electrical and Electronic Engineering 1.2k
  • Artificial Intelligence 761
  • Computer Networks and Communications 503
  • Computer Vision and Pattern Recognition 395
  • Hardware and Architecture 314
Replace Yan Luo with:
Yan Luo United States
Brent Waters United States
Zizhong Chen United States
Tong Li China
Mark E. Oxley United States
Richard Vuduc United States
Rob V. van Nieuwpoort Netherlands
Prasanna Balaprakash United States
Eduard Ayguadé Spain
Jin‐Soo Kim South Korea
Shengqi Yang relative to Yan Luo United States Yan Luo's profile →
Citations per field
00.5×
Yan Luo · 1×
Citations per year

Countries citing papers authored by Shengqi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shengqi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengqi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengqi Yang. A scholar is included among the top collaborators of Shengqi Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shengqi Yang. Shengqi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 2
4 2
5 7
6 9
7 5
8 28
9 2
10 8
11 0
12 37
13 12
14 35
15 53
16
Lunar Dust Analysis Package - LDAP
1
17
Mining invariants from console logs for system problem detection
179
18 21
19 10
20 137

About Shengqi Yang

Shengqi Yang is a scholar working on Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Signal Processing, having authored 109 papers that have together received 2.9k indexed citations. Recurring topics across this work include Semiconductor materials and devices (22 papers), Advancements in Semiconductor Devices and Circuit Design (19 papers) and Galaxies: Formation, Evolution, Phenomena (17 papers). The work is most often cited by research in Health Information Management (226 citations), Hardware and Architecture (314 citations) and Artificial Intelligence (761 citations). Shengqi Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu Cao, Wenping Wang, Zhangqin Huang, Xifeng Yan, Jian He, Frank Liu, Sarma Vrudhula, Sarvesh Bhardwaj, Jian–Guang Lou and Qiang Fu. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Electron Devices.

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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