Wangdong Yang

916 citations
53 papers · 715 · h-index 13

Impact in

Papers in

Wangdong Yang

45 papers receiving 691 citations

Peers

Wangdong Yang
Comparison fields: 5 of 81
  • Computational Mathematics 50
  • Hardware and Architecture 265
  • Computer Networks and Communications 259
  • Computer Vision and Pattern Recognition 153
  • Artificial Intelligence 223
Replace Zhihao Jia with:
Zhihao Jia United States
Guoqing Xiao China
Samyam Rajbhandari United States
Cody Hao Yu United States
Yogish Sabharwal India
Arutyun Avetisyan Russia
L. Hagen United States
Chunhua Liao United States
Depei Qian China
Jinyang Li China
Wangdong Yang relative to Zhihao Jia United States Zhihao Jia's profile →
Citations per field
00.5×3.9×
Zhihao Jia · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014195
2 2014103
3 201884
4 201746
5 201330
6 201630
7 201923
8 201218
9 201718
10 202217
11 201616
12 201915
13 202312
14 201611
15 202110
16 20209
17 20159
18 20227
19 20206
20 20195

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 53 papers that have together received 715 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (29 papers), Advanced Data Storage Technologies (12 papers), Distributed and Parallel Computing Systems (12 papers), Tensor decomposition and applications (10 papers), Matrix Theory and Algorithms (6 papers), Algorithms and Data Compression (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computational Mathematics (50 citations), Hardware and Architecture (265 citations), Computer Networks and Communications (259 citations), Computer Vision and Pattern Recognition (153 citations) and Artificial Intelligence (223 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, Yan Liu, Lin Shi and Lanjun Wan. 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 IEEE Intelligent Transportation Systems Magazine.

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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