Zhihao Shang

662 citations
28 papers · 480 indexed · h-index 13
Topics
Energy Load and Power Forecasting (10 papers)Cloud Computing and Resource Management (9 papers)Software-Defined Networks and 5G (6 papers)
Partner nations
ChinaGermanyMacao

In The Last Decade

Zhihao Shang

27 papers receiving 459 citations

Peers

Zhihao Shang
Comparison fields: 5 of 67
  • Electrical and Electronic Engineering 279
  • Artificial Intelligence 162
  • Computer Networks and Communications 113
  • Information Systems 87
  • Aerospace Engineering 62
Replace Kianoosh G. Boroojeni with:
Kianoosh G. Boroojeni United States
Teodor Iliev Bulgaria
Mao Tan China
Dheeraj Joshi India
Ümmühan Başaran Filik Türkiye
Syed Muhammad Salman Bukhari Pakistan
Tonghe Wang China
Moez Esseghir France
Muhammad Awais Pakistan
Jiuhong Xiao China
Zhihao Shang relative to Kianoosh G. Boroojeni United States Kianoosh G. Boroojeni's profile →
Citations per field
00.5×12.4×
Kianoosh G. Boroojeni · 1×
Citations per year

Countries citing papers authored by Zhihao Shang

Since Specialization
Citations

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

Fields of papers citing papers by Zhihao Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihao Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihao Shang. A scholar is included among the top collaborators of Zhihao Shang 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 Zhihao Shang. Zhihao Shang 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 13
2 4
3 45
4 9
5 12
6 22
7 23
8 20
9 2
10 54
11 33
12 15
13 2
14 7
15 72
16 2
17 2
18 5
19 24
20 2

About Zhihao Shang

Zhihao Shang is a scholar working on Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 28 papers that have together received 480 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Cloud Computing and Resource Management (9 papers) and Software-Defined Networks and 5G (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (21 citations), Artificial Intelligence (162 citations) and Computer Networks and Communications (113 citations). Zhihao Shang has collaborated with scholars based in China, Germany and Macao. Frequent co-authors include Yanhua Chen, Zhaoshuang He, Mingliang Xu, Katinka Wolter, Caihong Li, Yi Yang, Wenbo Chen, Lian Li, Lian Li and Yao Chen. Their work appears in journals such as Expert Systems with Applications, Energy Conversion and Management and Energy.

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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