Don‐Lin Yang

61 papers receiving 555 citations

Peers

Don‐Lin Yang
Comparison fields: 5 of 96
  • Computer Graphics and Computer-Aided Design 50
  • Information Systems 191
  • Computer Vision and Pattern Recognition 156
  • Signal Processing 72
  • Artificial Intelligence 203
Replace Jörg Denzinger with:
Jörg Denzinger Canada
Christos Zaroliagis Greece
Bjorn Freeman‐Benson United States
Peter Grogono Canada
Binqiang Zhao China
William I. Grosky United States
Micael Gallego Spain
Yuyu Luo China
Hugo Terashima‐Marín Mexico
Wensheng Zhang United States
Don‐Lin Yang relative to Jörg Denzinger Canada Jörg Denzinger's profile →
Citations per field
00.5×2.8×
Jörg Denzinger · 1×
Citations per year

Countries citing papers authored by Don‐Lin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Don‐Lin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002131
2 200550
3 200141
4 200625
5 201724
6 200122
7 200620
8 200719
9 200416
10 200915
11 200115
12 201812
13 200212
14 201211
15 201711
16 200310
17 201010
18
A Rotate-Tiling Image Compositing Method for Sort-Last Parallel Volume Rendering Systems on Distributed Memory Multicomputers.
20048
19 20108
20 20138

About Don‐Lin Yang

Don‐Lin Yang is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Theory and Mathematics, having authored 72 papers that have together received 623 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (21 papers), Rough Sets and Fuzzy Logic (13 papers), Data Management and Algorithms (9 papers), Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (9 papers), Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Imbalanced Data Classification Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (50 citations), Information Systems (191 citations), Computer Vision and Pattern Recognition (156 citations), Signal Processing (72 citations) and Artificial Intelligence (203 citations). Don‐Lin Yang has collaborated with scholars based in Taiwan, China and Vietnam. Frequent co-authors include Yeh‐Ching Chung, Yu‐Lung Hsieh, Nien‐Lin Hsueh, Yi‐Chung Chen, Chin‐Feng Lin, Hsi‐Min Chen, Josh Jia-Ching Ying, Cheng-Ju Kuo, Ching‐Hsien Hsu and Chyi‐Ren Dow. Their work appears in journals such as IEEE Access, Information Sciences, Scientific Reports, The International Review of Research in Open and Distributed Learning and Artificial Intelligence Review.

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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