Wangdong Yang

906 citations
52 papers · 670 · h-index 12

Impact in

Papers in

Wangdong Yang

41 papers receiving 648 citations

Peers

Wangdong Yang
Comparison fields: 5 of 80
  • Computational Mathematics 45
  • Hardware and Architecture 240
  • Computer Networks and Communications 236
  • Computer Vision and Pattern Recognition 145
  • Artificial Intelligence 209
Replace Guoqing Xiao with:
Guoqing Xiao China
Samyam Rajbhandari United States
Zhihao Jia United States
Cody Hao Yu United States
Weifeng Liu China
Depei Qian China
L. Hagen United States
Mahantesh Halappanavar United States
Jeff Rasley United States
Jinyang Li United States
Wangdong Yang relative to Guoqing Xiao China Guoqing Xiao's profile →
Citations per field
00.5×1.5×2.1×
Guoqing Xiao · 1×
Citations per year

Countries citing papers authored by Wangdong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wangdong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014190
2 201497
3 201882
4 201743
5 201630
6 201325
7 201924
8 201717
9 201616
10 202215
11 201915
12 201213
13 201610
14 20159
15 20239
16 20209
17 20218
18 20226
19 20206
20 20175

About Wangdong Yang

Wangdong Yang is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 670 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (28 papers), Distributed and Parallel Computing Systems (12 papers), Advanced Data Storage Technologies (11 papers), Tensor decomposition and applications (10 papers), Matrix Theory and Algorithms (6 papers), Advanced Neural Network Applications (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Computational Mathematics (45 citations), Hardware and Architecture (240 citations), Computer Networks and Communications (236 citations), Computer Vision and Pattern Recognition (145 citations) and Artificial Intelligence (209 citations). Wangdong Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kenli Li, Keqin Li, Zeyao Mo, Guoqing Xiao, Yuedan Chen, Tao Li, Tao Wang, Lanjun Wan, Yan Liu and Lin Shi. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, IEEE Transactions on Computers, Parallel Computing and Journal of Intelligent Information Systems.

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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