Hailong Yang

2.7k citations
161 papers · 1.8k indexed · 1 hit paper · h-index 20
Topics
Parallel Computing and Optimization Techniques (57 papers)Cloud Computing and Resource Management (40 papers)Advanced Data Storage Technologies (30 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Hailong Yang

147 papers receiving 1.7k citations

Hit Papers

Bubble-flux2013202620172021201350100150200250

Peers

Hailong Yang
Comparison fields: 5 of 117
  • Computer Networks and Communications 1.0k
  • Information Systems 688
  • Hardware and Architecture 479
  • Artificial Intelligence 387
  • Computer Vision and Pattern Recognition 211
Replace Yao Chen with:
Yao Chen China
Yi Wang China
Xuejun Li China
Gianluca Palermo Italy
Andreas Gerstlauer United States
Xubin He United States
Yao Zhang China
Yihua Huang China
Chuang Liu China
Satnam Singh United States
Hailong Yang relative to Yao Chen China Yao Chen's profile →
Citations per field
00.5×3.7×
Yao Chen · 1×
Citations per year

Countries citing papers authored by Hailong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong Yang. A scholar is included among the top collaborators of Hailong Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hailong Yang. Hailong Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 0
4 0
5 2
6 2
7 1
8 2
9 2
10 1
11 15
12 4
13 1
14 4
15 2
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17 2
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20 5

About Hailong Yang

Hailong Yang is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 161 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (57 papers), Cloud Computing and Resource Management (40 papers) and Advanced Data Storage Technologies (30 papers). The work is most often cited by research in Computational Mathematics (48 citations), Hardware and Architecture (479 citations) and Computer Networks and Communications (1.0k citations). Hailong Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jason Mars, Lingjia Tang, Zhongzhi Luan, Alex D. Breslow, Depei Qian, Quan Chen, Carol Fung, Shaohan Huang, Yi Liu and Yining Zhao. Their work appears in journals such as PLoS ONE, Journal of The Electrochemical Society and Scientific Reports.

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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