Ping Cheng

580 total citations · 1 hit paper
13 papers, 437 citations indexed

About

Ping Cheng is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ping Cheng has authored 13 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ping Cheng's work include Silicon Carbide Semiconductor Technologies (3 papers), Topic Modeling (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). Ping Cheng is often cited by papers focused on Silicon Carbide Semiconductor Technologies (3 papers), Topic Modeling (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). Ping Cheng collaborates with scholars based in China, United States and Pakistan. Ping Cheng's co-authors include Jie Xu, Wei Liu, Shilei Dai, Sihong Wang, Yang Li, Youdi Liu, Qi Su, Qiang Zou, Nan Li and Alex Mazursky and has published in prestigious journals such as Scientific Reports, Science Advances and IEEE Access.

In The Last Decade

Ping Cheng

11 papers receiving 427 citations

Hit Papers

A stretchable and strain-unperturbed pressure sensor for ... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Cheng China 5 321 165 152 125 48 13 437
Yizhou Jiang China 11 332 1.0× 122 0.7× 173 1.1× 161 1.3× 45 0.9× 28 498
Christopher Beach United Kingdom 9 357 1.1× 86 0.5× 160 1.1× 145 1.2× 40 0.8× 16 497
Xichao Tan China 6 235 0.7× 90 0.5× 114 0.8× 93 0.7× 25 0.5× 7 404
Ata Golparvar Switzerland 12 478 1.5× 145 0.9× 163 1.1× 139 1.1× 61 1.3× 36 608
Hyunjun Yoo South Korea 7 294 0.9× 82 0.5× 156 1.0× 124 1.0× 23 0.5× 9 356
Kaan Sel United States 11 375 1.2× 70 0.4× 98 0.6× 53 0.4× 42 0.9× 19 513
Xiong Li China 13 325 1.0× 116 0.7× 224 1.5× 49 0.4× 11 0.2× 39 533
Hee Young Chae South Korea 9 278 0.9× 68 0.4× 128 0.8× 115 0.9× 15 0.3× 11 333
Weihao Zheng China 11 395 1.2× 161 1.0× 170 1.1× 90 0.7× 20 0.4× 13 456

Countries citing papers authored by Ping Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ping Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Cheng. A scholar is included among the top collaborators of Ping Cheng 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 Ping Cheng. Ping Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Liu, Lifeng, et al.. (2025). YAMNet-based transfer learning for compact noise classification in urban and wireless systems. EURASIP Journal on Wireless Communications and Networking. 2025(1).
2.
Cheng, Ping, et al.. (2024). Effects of clay grains on the shear properties of unsaturated loess and microscopic mechanism. Scientific Reports. 14(1). 22666–22666. 1 indexed citations
3.
Dai, Shilei, Yahao Dai, Zixuan Zhao, et al.. (2022). Intrinsically stretchable neuromorphic devices for on-body processing of health data with artificial intelligence. Matter. 5(10). 3375–3390. 86 indexed citations
4.
Shen, Yonglin, et al.. (2022). AQE-Net: A Deep Learning Model for Estimating Air Quality of Karachi City from Mobile Images. Remote Sensing. 14(22). 5732–5732. 13 indexed citations
5.
Su, Qi, Qiang Zou, Yang Li, et al.. (2021). A stretchable and strain-unperturbed pressure sensor for motion interference–free tactile monitoring on skins. Science Advances. 7(48). eabi4563–eabi4563. 286 indexed citations breakdown →
6.
Li, Bo, et al.. (2018). Joint Learning from Labeled and Unlabeled Data for Information Retrieval. International Conference on Computational Linguistics. 293–302. 2 indexed citations
7.
Li, Bo & Ping Cheng. (2018). Learning Neural Representation for CLIR with Adversarial Framework. 1861–1870. 7 indexed citations
8.
Cheng, Ping & Xiaodai Dong. (2017). Life-Threatening Ventricular Arrhythmia Detection With Personalized Features. IEEE Access. 5. 14195–14203. 33 indexed citations
9.
Zhou, Chunliang, et al.. (2013). Research on application of Gaming learning mechanism.
10.
Wang, Lizhi, et al.. (2011). Combined feedforward-feedback servo control scheme for a radar spy azimuth follow-up system. 4717. 4196–4198. 1 indexed citations
11.
Cheng, Ping, et al.. (2010). Stability of the intrinsic defects in unintentionally doped 4H-SiC epitaxial layer. Acta Physica Sinica. 59(5). 3542–3542. 2 indexed citations
12.
Cheng, Ping, et al.. (2009). ESR characteristics of high-quality semi-insulating 4H-SiC crystal prepared by LPCVD. Acta Physica Sinica. 58(6). 4214–4214. 4 indexed citations
13.
Cheng, Ping, Yuming Zhang, Yimen Zhang, & Hui Guo. (2009). ESR characters of intrinsic defects in epitaxial semi-insulating 4H-SiC illuminated by Xe light. Journal of Semiconductors. 30(12). 123002–123002. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026