Yilin Yan

1.9k total citations · 1 hit paper
23 papers, 1.3k citations indexed

About

Yilin Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yilin Yan has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Yilin Yan's work include Anomaly Detection Techniques and Applications (7 papers), Imbalanced Data Classification Techniques (5 papers) and Data Stream Mining Techniques (3 papers). Yilin Yan is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Imbalanced Data Classification Techniques (5 papers) and Data Stream Mining Techniques (3 papers). Yilin Yan collaborates with scholars based in United States, China and Taiwan. Yilin Yan's co-authors include Mei‐Ling Shyu, Shu‐Ching Chen, Saad Sadiq, Yudong Tao, Haiman Tian, Samira Pouyanfar, S. S. Iyengar, Maria Presa Reyes, Min Chen and Long Yu and has published in prestigious journals such as ACM Computing Surveys, Journal of Chemometrics and Journal of Visual Communication and Image Representation.

In The Last Decade

Yilin Yan

23 papers receiving 1.2k citations

Hit Papers

A Survey on Deep Learning 2018 2026 2020 2023 2018 250 500 750

Peers

Yilin Yan
Comparison fields: 5 of 159
  • Artificial Intelligence 635
  • Computer Vision and Pattern Recognition 352
  • Computer Networks and Communications 129
  • Information Systems 122
  • Electrical and Electronic Engineering 110
Saad Sadiq United States
Haiman Tian United States
Yun Li China
Muhammad Atif Tahir United Kingdom
Rocío Aláiz-Rodríguez Spain
Maria Presa Reyes United States
Jiejun Xu United States
Daniel Urda Spain
Samina Khalid Pakistan
Saad Sadiq United States View profile →
Citations per field, relative to Yilin Yan
Yilin Yan · 1×
Citations per year, relative to Yilin Yan
Yilin Yan · 1×

Countries citing papers authored by Yilin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yilin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yilin Yan. A scholar is included among the top collaborators of Yilin Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yilin Yan. Yilin Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Title Journal Authors Indexed citations
1 Radar Echo Spatiotemporal Sequence Prediction Using an Improved ConvGRU Deep Learning Model Atmosphere Taisong Xiong, Hao Wang et al. 12
2 Florida International University - University of Miami Trecvid 2014 Yilin Yan, Samira Pouyanfar et al. 2
3 A Survey on Deep Learning breakdown → ACM Computing Surveys Samira Pouyanfar, Saad Sadiq et al. 915
4 Drug and Nondrug Classification Based on Deep Learning with Various Feature Selection Strategies Current Bioinformatics Long Yu, Xia Sun et al. 55
5 Efficient Imbalanced Multimedia Concept Retrieval by Deep Learning on Spark Clusters RePEc: Research Papers in Economics Yilin Yan, Min Chen et al. 19
6 AAFA: Associative Affinity Factor Analysis for Bot Detection and Stance Classification in Twitter Saad Sadiq, Yilin Yan et al. 13
7 Mining Anomalies in Medicare Big Data Using Patient Rule Induction Method Saad Sadiq, Yudong Tao et al. 25
8 Enhancing Multimedia Imbalanced Concept Detection Using VIMP in Random Forests PubMed Saad Sadiq, Yilin Yan et al. 8
9 Enhancing Rare Class Mining in Multimedia Big Data by Concept Correlation Yilin Yan, Mei‐Ling Shyu 3
10 Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper) Yilin Yan, Samira Pouyanfar et al. 3
11 Supporting Semantic Concept Retrieval with Negative Correlations in a Multimedia Big Data Mining System International Journal of Semantic Computing Yilin Yan, Mei‐Ling Shyu et al. 7
12 Negative Correlation Discovery for Big Multimedia Data Semantic Concept Mining and Retrieval Yilin Yan, Mei‐Ling Shyu et al. 9
13 Modeling and recognizing action contexts in persons using sparse representation Journal of Visual Communication and Image Representation Jun-Wei Hsieh, Yilin Yan et al. 6
14 Deep Learning for Imbalanced Multimedia Data Classification Yilin Yan, Min Chen et al. 116
15 PLSA-based sparse representation for vehicle color classification Jun-Wei Hsieh, Yilin Yan et al. 1
16 Spatio-Temporal Analysis for Human Action Detection and Recognition in Uncontrolled Environments RePEc: Research Papers in Economics Yilin Yan, Mei‐Ling Shyu et al. 30
17 A dynamic taint tracking based method to detect sensitive information leaking Weiming Li, Yilin Yan et al. 1
18 Enhancing Multimedia Semantic Concept Mining and Retrieval by Incorporating Negative Correlations Tao Meng, Yang Liu et al. 9
19 Utilizing concept correlations for effective imbalanced data classification Yilin Yan, Yang Liu et al. 17
20 Sparse representation for recognizing object-to-object actions under occlusions Yilin Yan et al. 2

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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