Yang Hu

1.4k citations
77 papers · 908 indexed · h-index 18
Topics
Cloud Computing and Resource Management (23 papers)Parallel Computing and Optimization Techniques (18 papers)Software-Defined Networks and 5G (15 papers)

In The Last Decade

Yang Hu

64 papers receiving 891 citations

Peers

Yang Hu
Comparison fields: 5 of 80
  • Computer Networks and Communications 406
  • Electrical and Electronic Engineering 320
  • Information Systems 256
  • Artificial Intelligence 224
  • Computer Vision and Pattern Recognition 216
Replace Sai Manoj Pudukotai Dinakarrao with:
Sai Manoj Pudukotai Dinakarrao United States
Ting Cao China
Marina Zapater Switzerland
Chang-Hong Hsu United States
Bojie Li China
Zhi-Jie Wang China
Fadi N. Sibai United Arab Emirates
Yusen Li China
Rui Fan China
Seunghwan Son South Korea
Yang Hu relative to Sai Manoj Pudukotai Dinakarrao United States Sai Manoj Pudukotai Dinakarrao's profile →
Citations per field
00.5×10.8×
Sai Manoj Pudukotai Dinakarrao · 1×
Citations per year

Countries citing papers authored by Yang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Hu. A scholar is included among the top collaborators of Yang Hu 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 Yang Hu. Yang Hu 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 0
2 2
3 2
4 0
5 2
6 0
7 0
8 0
9 2
10 0
11 1
12 10
13 1
14 1
15 4
16 1
17 50
18 12
19 15
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About Yang Hu

Yang Hu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 77 papers that have together received 908 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (23 papers), Parallel Computing and Optimization Techniques (18 papers) and Software-Defined Networks and 5G (15 papers). The work is most often cited by research in Hardware and Architecture (180 citations), Computer Networks and Communications (406 citations) and Computational Mathematics (7 citations). Yang Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mingcong Song, Tao Li, Tao Li, Chao Li, Longjun Liu, Jiaqi Zhang, Jingling Yuan, Shouyi Yin, Huixiang Chen and Shaojun Wei. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Physical Chemistry A and IEEE Journal of Solid-State Circuits.

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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