Don‐Lin Yang

64 papers receiving 628 citations

Peers

Don‐Lin Yang
Comparison fields: 5 of 92
  • Computer Graphics and Computer-Aided Design 55
  • Information Systems 217
  • Signal Processing 90
  • Computer Vision and Pattern Recognition 161
  • Computer Networks and Communications 169
Replace Mimmo Parente with:
Mimmo Parente Italy
Sushil K. Prasad United States
Andrew J. Novobilski United States
Yün Peng China
Min Zhou China
Derek Long Australia
Yuyu Luo China
Vangalur Alagar Canada
Brad Cox United States
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Don‐Lin Yang relative to Mimmo Parente Italy Mimmo Parente's profile →
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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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002145
2 200554
3 200144
4 201730
5 200627
6 200123
7 200723
8 200123
9 200621
10 200419
11 200214
12 201713
13 201813
14 201012
15 201211
16 201011
17 200310
18
A Rotate-Tiling Image Compositing Method for Sort-Last Parallel Volume Rendering Systems on Distributed Memory Multicomputers.
20048
19 20168
20
Predicting Student Performance in MOOCs Using Learning Activity Data.
20188

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 Signal Processing, having authored 78 papers that have together received 696 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (20 papers), Rough Sets and Fuzzy Logic (12 papers), Data Management and Algorithms (11 papers), Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (9 papers), Medical Image Segmentation Techniques (6 papers), Service-Oriented Architecture and Web Services (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (55 citations), Information Systems (217 citations), Signal Processing (90 citations), Computer Vision and Pattern Recognition (161 citations) and Computer Networks and Communications (169 citations). Don‐Lin Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yeh‐Ching Chung, Yi‐Chung Chen, Nien‐Lin Hsueh, Yu‐Lung Hsieh, Chin‐Feng Lin, Hsi‐Min Chen, Josh Jia-Ching Ying, Cheng-Ju Kuo, Chyi‐Ren Dow and Ching‐Hsien Hsu. Their work appears in journals such as IEEE Access, Artificial Intelligence Review, IEEE Transactions on Parallel and Distributed Systems, Journal of Systems Architecture and Information and Software Technology.

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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