Hangyu Lin

437 citations
17 papers · 247 · h-index 8

Impact in

Papers in

Hangyu Lin

15 papers receiving 242 citations

Peers

Hangyu Lin
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 91
  • Computer Graphics and Computer-Aided Design 11
  • Computer Networks and Communications 50
  • Signal Processing 23
  • Human-Computer Interaction 8
Replace Tao Lü with:
Tao Lü China
Xi Zhou China
Frank Loh Germany
R. Vijaya Kumar Reddy India
Jeongwook Seo South Korea
B. Poornima India
N. Neelima India
M. El-Sayed Wahed Egypt
T. S. Arulananth India
Hangyu Lin relative to Tao Lü China Tao Lü's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hangyu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hangyu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201567
2 201637
3 201937
4 202034
5 201614
6 202111
7 20249
8 20227
9 20166
10 20206
11 20236
12 20245
13 20244
14 20233
15 20241
16 20250
17 20210

About Hangyu Lin

Hangyu Lin is a scholar working on Computer Vision and Pattern Recognition, Health, Toxicology and Mutagenesis, Materials Chemistry, Computer Networks and Communications and Ocean Engineering, having authored 17 papers that have together received 247 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Mercury impact and mitigation studies (3 papers), Underwater Vehicles and Communication Systems (2 papers), Multimodal Machine Learning Applications (2 papers), Luminescence and Fluorescent Materials (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Image Retrieval and Classification Techniques (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (91 citations), Computer Graphics and Computer-Aided Design (11 citations), Computer Networks and Communications (50 citations), Signal Processing (23 citations) and Human-Computer Interaction (8 citations). Hangyu Lin has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yanwei Fu, Xin Huang, Paul Craig, Zheng Yan, Yu–Gang Jiang, Xiangyang Xue, Chuanpin Chen, Peng Lu, Shaogang Gong and Wenbin Liang. Their work appears in journals such as Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Ecotoxicology and Environmental Safety, The Science of The Total Environment, IEEE Access and Microsystem Technologies.

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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