Yun Cheng

985 citations
49 papers · 760 indexed · h-index 11
Topics
Advanced Battery Technologies Research (10 papers)Advanced Battery Materials and Technologies (9 papers)Advancements in Battery Materials (9 papers)

In The Last Decade

Yun Cheng

44 papers receiving 711 citations

Peers

Yun Cheng
Comparison fields: 5 of 72
  • Electrical and Electronic Engineering 537
  • Automotive Engineering 432
  • Computer Vision and Pattern Recognition 75
  • Signal Processing 44
  • Aerospace Engineering 44
Replace Jie Lian with:
Jie Lian China
Subhadeep Chakraborty United States
Mingli Wu China
Jingqi Zhang China
Jing Yao China
Tianyi Lu China
Yun Cheng relative to Jie Lian China Jie Lian's profile →
Citations per field
00.5×10.2×
Jie Lian · 1×
Citations per year

Countries citing papers authored by Yun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Cheng. A scholar is included among the top collaborators of Yun 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 Yun Cheng. Yun 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 1
2 0
3 0
4 5
5 9
6 0
7 1
8 40
9 6
10 3
11 1
12 6
13 12
14 120
15 180
16 8
17
Simulation of diffusion polarization in LiMn2O4/graphite Li-ion battery during discharge process
5
18
Automatic Identification Method for the First and Second Heart Sound Based on Double-threshold
3
19 2
20
The Designing Methods of Fish-eye Distortion Correction Using Latitude-longitude Projection
7

About Yun Cheng

Yun Cheng is a scholar working on Automotive Engineering, Signal Processing and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 760 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (10 papers), Advanced Battery Materials and Technologies (9 papers) and Advancements in Battery Materials (9 papers). The work is most often cited by research in Automotive Engineering (432 citations), Electrical and Electronic Engineering (537 citations) and Industrial and Manufacturing Engineering (39 citations). Yun Cheng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ming Jia, Jie Li, Yiwei Tang, Yexiang Liu, Shuanglong Du, Zhian Zhang, Yue Lin, Yanqing Lai, Xiaoping Lai and Kai Zhang. Their work appears in journals such as Angewandte Chemie International Edition, Nano Letters and Journal of The Electrochemical Society.

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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