Junying Zeng

814 citations
48 papers · 529 · h-index 12

Impact in

Papers in

Junying Zeng

43 papers receiving 507 citations

Peers

Junying Zeng
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 167
  • Signal Processing 64
  • Neurology 28
  • Electrical and Electronic Engineering 202
  • Atomic and Molecular Physics, and Optics 107
Replace Gulistan Raja with:
Gulistan Raja Pakistan
Xiaoli Dong China
Toru Kurihara Japan
Rik Das India
Andrea Polesel Italy
ByungIn Yoo South Korea
Barbara Zitová Czechia
Lingzhi Hu China
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Citations per field
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Citations per year

Countries citing papers authored by Junying Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Junying Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007185
2 201830
3 202230
4 202028
5 202028
6 201923
7 201820
8 202218
9 202418
10 202316
11 201913
12 201712
13 201611
14 20198
15 20208
16 20217
17 20196
18 20245
19 20185
20 20185

About Junying Zeng

Junying Zeng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 529 indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Biometric Identification and Security (10 papers), Face recognition and analysis (9 papers), Advanced Photonic Communication Systems (4 papers), Photonic and Optical Devices (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Remote-Sensing Image Classification (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Signal Processing (64 citations), Neurology (28 citations), Electrical and Electronic Engineering (202 citations) and Atomic and Molecular Physics, and Optics (107 citations). Junying Zeng has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Yikui Zhai, Jianxin Ma, Xiangjun Xin, Chongxiu Yu, Jianjun Yu, Lingling Chen, Junying Gan, Vincenzo Piuri, Fabio Scotti and Xiaozhi Zhang. Their work appears in journals such as IEEE Access, Computational Intelligence and Neuroscience, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Instrumentation and Measurement and Soft Computing.

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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