Yang Yan

882 citations
60 papers · 585 · 1 hit paper · h-index 10

Impact in

Papers in

Yang Yan

46 papers receiving 563 citations

Yang Yan's Hit Papers

Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances 2023 · 183 citations
1830+1+2Years since publication50100150

Peers

Yang Yan
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 286
  • Media Technology 105
  • Computational Theory and Mathematics 114
  • Instrumentation 16
  • Pharmacology 34
Replace Li Fang with:
Li Fang China
Haoming Zhang China
Avishek Saha India
Lulu Zhang China
M.K. Ibrahim United Kingdom
Jiajia Chen China
Carlos Morell Cuba
Minghu Song United States
Hu Li China
Yang Yan relative to Li Fang China Li Fang's profile →
Citations per field
00.5×5×10×16×
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 60 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 →
2023183
2 202289
3 201976
4 201250
5 201931
6 200920
7 202016
8 200712
9 201912
10 201910
11 20197
12 20237
13 20207
14 20207
15 20146
16 20135
17 20104
18
On the Change of Teachers' teaching Attitude in the New Curriculum Reform
20062
19 20212
20 20122

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 60 papers that have together received 585 indexed citations. Recurring topics across this work include Coding theory and cryptography (7 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Computational Drug Discovery Methods (6 papers), graph theory and CDMA systems (5 papers), Advanced Computational Techniques and Applications (5 papers), Radar Systems and Signal Processing (4 papers), Cooperative Communication and Network Coding (3 papers) and Cognitive Radio Networks and Spectrum Sensing (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (286 citations), Media Technology (105 citations), Computational Theory and Mathematics (114 citations), Instrumentation (16 citations) and Pharmacology (34 citations). Yang Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhenqi Fu, Xinghao Ding, Kai‐Kuang Ma, Xiaotong Tu, Yue Huang, Jianwei Huang, Yanmin Zhang, Xingye Chen, Yadong Chen and Haichun Liu. Their work appears in journals such as IEEE Access, Sensors, Journal of Chemical Information and Modeling, Complexity 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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