Jingyuan Cheng

1.2k citations
41 papers · 663 indexed · h-index 15
Topics
Advanced Sensor and Energy Harvesting Materials (13 papers)Interactive and Immersive Displays (12 papers)Context-Aware Activity Recognition Systems (12 papers)
Partner nations
GermanyChinaNetherlands

In The Last Decade

Jingyuan Cheng

38 papers receiving 645 citations

Peers

Jingyuan Cheng
Comparison fields: 5 of 87
  • Biomedical Engineering 357
  • Computer Vision and Pattern Recognition 249
  • Human-Computer Interaction 191
  • Cognitive Neuroscience 136
  • Electrical and Electronic Engineering 106
Replace Bo Zhou with:
Bo Zhou Germany
Mathias Sundholm Germany
Gaoyang Pang China
John Stivoric United States
Johannes Schumm Switzerland
Holger Harms Switzerland
Andrius Dzedzickis Lithuania
Tapomayukh Bhattacharjee United States
Mario Tesconi Italy
J. Farringdon United Kingdom
Jingyuan Cheng relative to Bo Zhou Germany Bo Zhou's profile →
Citations per field
00.5×1.5×
Bo Zhou · 1×
Citations per year

Countries citing papers authored by Jingyuan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jingyuan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyuan Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyuan Cheng. A scholar is included among the top collaborators of Jingyuan 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 Jingyuan Cheng. Jingyuan Cheng 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 0
2 2
3 5
4 0
5 0
6 19
7 2
8 36
9
mBeacon: Accurate, robust proximity detection with smart phones and smart watches using low frequency modulated magnetic fields
1
10 59
11 13
12 20
13 11
14 81
15 1
16
Smart Chair: What Can Simple Pressure Sensors under the Chairs' Legs Tell Us about User Activity?
22
17 42
18 7
19 2
20 1

About Jingyuan Cheng

Jingyuan Cheng is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 41 papers that have together received 663 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (13 papers), Interactive and Immersive Displays (12 papers) and Context-Aware Activity Recognition Systems (12 papers). The work is most often cited by research in Human-Computer Interaction (191 citations), Computer Vision and Pattern Recognition (249 citations) and Biomedical Engineering (357 citations). Jingyuan Cheng has collaborated with scholars based in Germany, China and Netherlands. Frequent co-authors include Paul Lukowicz, Bo Zhou, Mathias Sundholm, Oliver Amft, Gernot Bahle, Attila Reiss, Albrecht Schmidt, Niels Henze, Carl C. Rheinländer and Kai Kunze. Their work appears in journals such as Sensors, Computer and IEEE Sensors Journal.

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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