Yang Yan

833 citations
56 papers · 523 · 1 hit paper · h-index 10

Impact in

Papers in

Yang Yan

44 papers receiving 505 citations

Hit Papers

Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances 2023 · 152 citations
1520+1+2Years since publication50100150

Peers

Yang Yan
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 252
  • Media Technology 86
  • Computational Theory and Mathematics 114
  • Instrumentation 15
  • Pharmacology 37
Replace Li Fang with:
Li Fang China
Hua Zou China
Yen-Ching Chang Taiwan
Haoming Zhang China
M.K. Ibrahim United Kingdom
Lulu Zhang China
Jiajia Chen China
Carlos Morell Cuba
Ligang Hou China
Minghu Song United States
Yang Yan relative to Li Fang China Li Fang's profile →
Citations per field
00.5×10×15×
Li Fang · 1×
Citations per year

Countries citing papers authored by Yang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances
Hit paper breakdown →
2023152
2 202280
3 201972
4 201243
5 201929
6 200917
7 202016
8 200712
9 201911
10 201910
11 20237
12 20197
13 20207
14 20146
15 20206
16 20135
17 20103
18
On the Change of Teachers' teaching Attitude in the New Curriculum Reform
20062
19 20142
20 20072

About Yang Yan

Yang Yan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 56 papers that have together received 523 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Advanced Computational Techniques and Applications (5 papers), Coding theory and cryptography (5 papers), Radar Systems and Signal Processing (4 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers), graph theory and CDMA systems (3 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (252 citations), Media Technology (86 citations), Computational Theory and Mathematics (114 citations), Instrumentation (15 citations) and Pharmacology (37 citations). Yang Yan has collaborated with scholars based in China, Singapore and Macao. Frequent co-authors include Zhenqi Fu, Xinghao Ding, Kai‐Kuang Ma, Xiaotong Tu, Yue Huang, Yadong Chen, Jianwei Huang, Xingye Chen, Yanmin Zhang and Haichun Liu. Their work appears in journals such as IEEE Access, Journal of Chemical Information and Modeling, Sensors, Molecular Pharmaceutics and IEEE Journal on Selected Areas in Communications.

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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