Yan Yang

5.7k citations
158 papers · 3.8k · 5 hit papers · h-index 27

Impact in

Papers in

Yan Yang

145 papers receiving 3.8k citations

Hit Papers

Multivariate time series forecasting via attention-based encoder–decoder framework 2020 · 327 citations
3270+2+5Years since publication200400600

Peers

Yan Yang
Comparison fields: 5 of 151
  • Computational Mathematics 90
  • Computer Vision and Pattern Recognition 1.7k
  • Urban Studies 304
  • Artificial Intelligence 1.6k
  • Media Technology 399
Replace Zhongfei Zhang with:
Zhongfei Zhang United States
Jun Guo China
Jiancheng Lv China
Sihang Zhou China
Junping Zhang China
Yong Xu China
Mohamed Cheriet Canada
Xin Ning China
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Citations per field
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Citations per year

Countries citing papers authored by Yan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GMC: Graph-Based Multi-View Clustering
Hit paper breakdown →
2019628
2
Multi-view clustering: A survey
Hit paper breakdown →
2018337
3
Multivariate time series forecasting via attention-based encoder–decoder framework
Hit paper breakdown →
2020327
4
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
Hit paper breakdown →
2019316
5
A study of graph-based system for multi-view clustering
Hit paper breakdown →
2018285
6 2019114
7 2018106
8 201683
9 202081
10 201772
11 200667
12 201663
13 201857
14 201557
15 201250
16 201144
17
Fuzzy c-means clustering algorithm with a novel penalty term for image segmentation
200542
18 201742
19 201541
20 201539

About Yan Yang

Yan Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Media Technology and Electrical and Electronic Engineering, having authored 158 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (24 papers), Face and Expression Recognition (18 papers), Medical Image Segmentation Techniques (15 papers), Text and Document Classification Technologies (14 papers), Traffic Prediction and Management Techniques (11 papers), Image Retrieval and Classification Techniques (10 papers), Advanced Image Fusion Techniques (9 papers) and Advanced Computing and Algorithms (8 papers). The work is most often cited by research in Computational Mathematics (90 citations), Computer Vision and Pattern Recognition (1.7k citations), Urban Studies (304 citations), Artificial Intelligence (1.6k citations) and Media Technology (399 citations). Yan Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tianrui Li, Bing Liu, Hao Wang, Hao Wang, Shengdong Du, Shi‐Jinn Horng, Hamido Fujita, Hao Wang, Shujun Zhang and Mohamed S. Kamel. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Knowledge and Data Engineering, Neural Computing and Applications, Tsinghua Science & Technology and Biomedical Signal Processing and Control.

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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