Ping Cheng

605 citations
13 papers · 461 · 1 hit paper · h-index 5

Impact in

Papers in

Ping Cheng

11 papers receiving 453 citations

Ping Cheng's Hit Papers

A stretchable and strain-unperturbed pressure sensor for motion interference–free tactile monitoring on skins 2021 · 302 citations
3020+1+3Years since publication100200300

Peers

Ping Cheng
Comparison fields: 5 of 55
  • Cognitive Neuroscience 167
  • Polymers and Plastics 126
  • Biomedical Engineering 338
  • Human-Computer Interaction 25
  • Bioengineering 24
Replace Heeyong Huh with:
Heeyong Huh United States
Yizhou Jiang China
Christopher Beach United Kingdom
Akshay Paul United States
Weihao Zheng China
Lingqing Yan United States
Jin Shang China
Seulgee Kim South Korea
Sung‐Woo Kim South Korea
Ping Cheng relative to Heeyong Huh United States Heeyong Huh's profile →
Citations per field
00.5×1.5×2.3×
Heeyong Huh · 1×
Citations per year

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-authors

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

All Works

13 of 13 papers shown
#Work
1
A stretchable and strain-unperturbed pressure sensor for motion interference–free tactile monitoring on skins
Hit paper breakdown →
2021302
2 202293
3 201733
4 202213
5 20187
6 20094
7 20242
8
Joint Learning from Labeled and Unlabeled Data for Information Retrieval
20182
9 20092
10 20102
11 20111
12 20250
13 20130

About Ping Cheng

Ping Cheng is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Biomedical Engineering, having authored 13 papers that have together received 461 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Geotechnical Engineering and Soil Mechanics (1 paper), Ferroelectric and Negative Capacitance Devices (1 paper) and Semiconductor materials and interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (167 citations), Polymers and Plastics (126 citations), Biomedical Engineering (338 citations), Human-Computer Interaction (25 citations) and Bioengineering (24 citations). Ping Cheng has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Jie Xu, Wei Liu, Qi Su, Youdi Liu, Shilei Dai, Sihong Wang, Yang Li, Nan Li, Lihua Jin and Romain Nith. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, Remote Sensing, Journal of Semiconductors, IEEE Access and Matter.

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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