Shengqi Yang

4.2k total citations · 1 hit paper
109 papers, 2.9k citations indexed

About

Shengqi Yang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Shengqi Yang has authored 109 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 21 papers in Computer Vision and Pattern Recognition and 20 papers in Astronomy and Astrophysics. Recurrent topics in Shengqi Yang's work include Semiconductor materials and devices (22 papers), Advancements in Semiconductor Devices and Circuit Design (19 papers) and Galaxies: Formation, Evolution, Phenomena (17 papers). Shengqi Yang is often cited by papers focused on Semiconductor materials and devices (22 papers), Advancements in Semiconductor Devices and Circuit Design (19 papers) and Galaxies: Formation, Evolution, Phenomena (17 papers). Shengqi Yang collaborates with scholars based in China, United States and Hong Kong. Shengqi Yang's co-authors include Yu Cao, Wenping Wang, Zhangqin Huang, Xifeng Yan, Jian He, Sarvesh Bhardwaj, Frank Liu, Sarma Vrudhula, Qiang Fu and Jian–Guang Lou and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Electron Devices.

In The Last Decade

Shengqi Yang

103 papers receiving 2.8k citations

Hit Papers

Type 2 diabetes mellitus ... 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Type 2 diabetes mellitus prediction model based on data mining
    2017 250 citations Shengqi Yang, Zhangqin Huang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shengqi Yang China 28 1.2k 761 503 395 314 109 2.9k
Yan Luo United States 23 680 0.6× 489 0.6× 1.6k 3.2× 235 0.6× 247 0.8× 99 2.4k
Tong Li China 21 192 0.2× 1.1k 1.5× 516 1.0× 233 0.6× 113 0.4× 85 2.1k
Prasanna Balaprakash United States 22 227 0.2× 483 0.6× 342 0.7× 130 0.3× 257 0.8× 115 1.7k
Marek Perkowski United States 30 1.1k 1.0× 2.2k 2.9× 166 0.3× 76 0.2× 506 1.6× 280 3.4k
José Miguel Hernández-Lobato United Kingdom 22 487 0.4× 1.2k 1.6× 127 0.3× 566 1.4× 170 0.5× 78 3.4k
Alok Choudhary United States 18 169 0.1× 434 0.6× 544 1.1× 139 0.4× 420 1.3× 59 1.7k
Gary D. Hachtel United States 31 3.0k 2.5× 839 1.1× 385 0.8× 82 0.2× 2.6k 8.4× 97 5.1k
Richard Vuduc United States 32 452 0.4× 711 0.9× 2.0k 4.1× 426 1.1× 2.5k 7.9× 132 3.7k
Dong Li China 34 2.8k 2.3× 345 0.5× 1.9k 3.8× 177 0.4× 116 0.4× 332 4.4k
Zhijun Wu China 24 217 0.2× 755 1.0× 899 1.8× 186 0.5× 47 0.1× 161 1.9k

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
1.
Peter, Annika H. G., Xiaolong Du, Shengqi Yang, et al.. (2025). Evolution and properties of self-interacting dark matter subhalos until core collapse. Physical review. D. 111(6). 5 indexed citations
2.
Guo, Junmei, et al.. (2024). YOLOv8-CAS: An improvement of multi-class target detection algorithm based on YOLO. 717–721. 1 indexed citations
3.
Yang, Shengqi, et al.. (2024). GS-YOLOv8: An improved UAV target detection algorithm based on YOLOv8. 643–647. 2 indexed citations
4.
5.
Peter, Annika H. G., et al.. (2024). Convergence tests of self-interacting dark matter simulations. Physical review. D. 110(12). 7 indexed citations
6.
Pullen, Anthony R., Patrick C. Breysse, Eric R. Switzer, et al.. (2023). Extragalactic science with the experiment for cryogenic large-aperture intensity mapping. Monthly Notices of the Royal Astronomical Society. 521(4). 6124–6142. 5 indexed citations
7.
Zhang, Cheng, et al.. (2023). Human activity recognition based on multi-modal fusion. 5(3). 321–332. 2 indexed citations
8.
Jiang, Fangzhou, Andrew Benson, Philip F. Hopkins, et al.. (2023). A semi-analytic study of self-interacting dark-matter haloes with baryons. Monthly Notices of the Royal Astronomical Society. 521(3). 4630–4644. 28 indexed citations
9.
10.
Huang, Zhangqin, et al.. (2020). E3DinSAR: 3-D Localization of RFID-Tagged Objects Based on Interference Synthetic Apertures. IEEE Internet of Things Journal. 7(12). 11656–11666. 21 indexed citations
11.
He, Jian, et al.. (2019). A Low Power Fall Sensing Technology Based on FD-CNN. IEEE Sensors Journal. 19(13). 5110–5118. 37 indexed citations
12.
Yang, Shengqi, Anthony R. Pullen, & Eric R. Switzer. (2019). Evidence for C ii diffuse line emission at redshift z ∼ 2.6. Monthly Notices of the Royal Astronomical Society Letters. 489(1). L53–L57. 29 indexed citations
13.
Wang, Xiaoyi, Yan Yan, Jian He, et al.. (2017). Fast physics-based electromigration analysis for multi-branch interconnect trees. International Conference on Computer Aided Design. 169–176. 12 indexed citations
14.
Yang, Shengqi, et al.. (2016). Fast top-k search in knowledge graphs. 990–1001. 35 indexed citations
15.
Richter, Linda, et al.. (2012). Lunar Dust Analysis Package - LDAP. 1 indexed citations
16.
Lou, Jian–Guang, Qiang Fu, Shengqi Yang, Ye Xu, & Jiang Li. (2010). Mining invariants from console logs for system problem detection. USENIX Annual Technical Conference. 24–24. 179 indexed citations
17.
Wu, Bin, et al.. (2009). A Distributed Algorithm to Enumerate All Maximal Cliques in MapReduce. 45–51. 35 indexed citations
18.
Wang, Wenping, et al.. (2007). An efficient method to identify critical gates under circuit aging. International Conference on Computer Aided Design. 735–740. 137 indexed citations
19.
He, Jin, et al.. (2007). Analytic Carrier-Based Charge and Capacitance Model for Long-Channel Undoped Surrounding-Gate MOSFETs. IEEE Transactions on Electron Devices. 54(6). 1478–1485. 31 indexed citations
20.
Yang, Shengqi, Marilyn Wolf, & N. Vijaykrishnan. (2005). Search speed and power driven integrated software and hardware optimizations for motion estimation algorithms. 707–710. 1 indexed citations

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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