Yi Zhan

586 citations
45 papers · 388 · h-index 10

Impact in

Papers in

Yi Zhan

42 papers receiving 370 citations

Peers

Yi Zhan
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 158
  • Media Technology 59
  • Signal Processing 38
  • Artificial Intelligence 95
  • Electrical and Electronic Engineering 131
Replace Hang Shi with:
Hang Shi China
Bharath Ramesh Singapore
Chi‐Chia Sun Taiwan
Haojun Ai China
Changlin Li China
M. Moniri United Kingdom
Rin-ichiro Taniguchi Japan
Jingda Guo United States
Bor-Shenn Jeng Taiwan
Zouhair Guennoun Morocco
Yi Zhan relative to Hang Shi China Hang Shi's profile →
Citations per field
00.5×3.8×
Hang Shi · 1×
Citations per year

Countries citing papers authored by Yi Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201449
2 201245
3 202143
4 202332
5 201229
6 201022
7 202216
8 202414
9 200712
10 202210
11 20219
12 20219
13 20108
14 20067
15 20197
16 20216
17 20116
18 20245
19 20105
20 20135

About Yi Zhan

Yi Zhan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Signal Processing, having authored 45 papers that have together received 388 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Image and Signal Denoising Methods (9 papers), Advanced Image Processing Techniques (5 papers), Analog and Mixed-Signal Circuit Design (5 papers), Speech and Audio Processing (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Music and Audio Processing (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (158 citations), Media Technology (59 citations), Signal Processing (38 citations), Artificial Intelligence (95 citations) and Electrical and Electronic Engineering (131 citations). Yi Zhan has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Tadahiro Kuroda, Mingyue Ding, Xuming Zhang, Chao Wang, Zixuan Peng, Xinglong Ji, Rong Zhao, Jianmin Xu, Di Zheng and Min Luo. Their work appears in journals such as Electronics, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Access, Signal Processing and Journal of Fluids and Structures.

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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