Yi Jin

931 citations
64 papers · 682 · h-index 14

Impact in

Papers in

Yi Jin

54 papers receiving 668 citations

Peers

Yi Jin
Comparison fields: 5 of 81
  • Electrical and Electronic Engineering 431
  • Computer Networks and Communications 122
  • Signal Processing 46
  • Automotive Engineering 48
  • Aerospace Engineering 89
Replace Sujata Pandey with:
Sujata Pandey India
Jianzhe Liu China
Yi Deng China
Markus Henke Germany
Zhenyong Wang China
Bang Wu China
Haojun Yang China
Cheng Luo China
C. S. Boopathi India
Long Yang China
Yi Jin relative to Sujata Pandey India Sujata Pandey's profile →
Citations per field
00.5×2×3×3.7×
Sujata Pandey · 1×
Citations per year

Countries citing papers authored by Yi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022110
2 201866
3 201261
4 202059
5 201831
6 201630
7 201926
8 202025
9 201923
10 201821
11 201719
12 202114
13 201914
14 201814
15 201813
16 202012
17 201912
18 201810
19 20259
20 20228

About Yi Jin

Yi Jin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 64 papers that have together received 682 indexed citations. Recurring topics across this work include Advanced Power Amplifier Design (17 papers), Radio Frequency Integrated Circuit Design (16 papers), PAPR reduction in OFDM (7 papers), Full-Duplex Wireless Communications (6 papers), Advanced Adaptive Filtering Techniques (4 papers), Advanced Data Storage Technologies (4 papers), Cloud Computing and Resource Management (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (431 citations), Computer Networks and Communications (122 citations), Signal Processing (46 citations), Automotive Engineering (48 citations) and Aerospace Engineering (89 citations). Yi Jin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mingyu Li, Yizhi Wang, Zhijiang Dai, Yao Yao, Wenjiang Feng, Weiheng Jiang, Yu Zhang, Fang Tang, Jinsong Wu and Tian Li. Their work appears in journals such as IEEE Access, Electronics, IEEE Transactions on Microwave Theory and Techniques, Sensors and International Journal of RF and Microwave Computer-Aided Engineering.

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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