Ping Cheng

580 citations
13 papers · 437 · 1 hit paper · h-index 5

Impact in

Papers in

Ping Cheng

11 papers receiving 427 citations

Ping Cheng's Hit Papers

A stretchable and strain-unperturbed pressure sensor for motion interference–free tactile monitoring on skins 2021 · 286 citations
2860+1+3Years since publication50100150200250

Peers

Ping Cheng
Comparison fields: 5 of 53
  • Polymers and Plastics 125
  • Cognitive Neuroscience 165
  • Biomedical Engineering 321
  • Human-Computer Interaction 25
  • Bioengineering 23
Replace Heeyong Huh with:
Heeyong Huh United States
Yizhou Jiang China
Christopher Beach United Kingdom
Lingqing Yan United States
Weihao Zheng China
Akshay Paul United States
Sung‐Woo Kim South Korea
Hyunjun Yoo South Korea
Seulgee 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 →
2021286
2 202286
3 201733
4 202213
5 20187
6 20094
7
Joint Learning from Labeled and Unlabeled Data for Information Retrieval
20182
8 20092
9 20102
10 20241
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 437 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (3 papers), Natural Language Processing Techniques (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Topic Modeling (2 papers), ECG Monitoring and Analysis (1 paper), Ferroelectric and Negative Capacitance Devices (1 paper), Digital Games and Media (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Polymers and Plastics (125 citations), Cognitive Neuroscience (165 citations), Biomedical Engineering (321 citations), Human-Computer Interaction (25 citations) and Bioengineering (23 citations). Ping Cheng has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Wei Liu, Youdi Liu, Qi Su, Sihong Wang, Yang Li, Shilei Dai, Jie Xu, Lihua Jin, Yuzhen Chen and Alex Mazursky. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, Scientific Reports, Matter, Remote Sensing and Journal of Semiconductors.

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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