Muhuan Huang

425 citations
17 papers · 274 indexed · h-index 12
Topics
Parallel Computing and Optimization Techniques (15 papers)Interconnection Networks and Systems (9 papers)Embedded Systems Design Techniques (9 papers)
Partner nations
United StatesChina

In The Last Decade

Muhuan Huang

16 papers receiving 271 citations

Peers

Muhuan Huang
Comparison fields: 5 of 30
  • Hardware and Architecture 217
  • Computer Networks and Communications 172
  • Electrical and Electronic Engineering 78
  • Information Systems 50
  • Artificial Intelligence 29
Replace Resit Sendag with:
Resit Sendag United States
Mateus Beck Rutzig Brazil
Carlos Villavieja Spain
Blake A. Hechtman United States
John Seng United States
Nilanjan Goswami United States
Lawrence Spracklen United States
John Goodacre United Kingdom
Naif Tarafdar Canada
Daniel Johnson United States
Muhuan Huang relative to Resit Sendag United States Resit Sendag's profile →
Citations per field
00.5×4.1×
Resit Sendag · 1×
Citations per year

Countries citing papers authored by Muhuan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Muhuan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhuan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Muhuan Huang. A scholar is included among the top collaborators of Muhuan Huang 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 Muhuan Huang. Muhuan Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 9
3 17
4 5
5 60
6 15
7 17
8 14
9 22
10 16
11 28
12 15
13 13
14 14
15 8
16 7
17 13

About Muhuan Huang

Muhuan Huang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 17 papers that have together received 274 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Interconnection Networks and Systems (9 papers) and Embedded Systems Design Techniques (9 papers). The work is most often cited by research in Hardware and Architecture (217 citations), Computer Networks and Communications (172 citations) and Information Systems (50 citations). Muhuan Huang has collaborated with scholars based in United States and China. Frequent co-authors include Jason Cong, Yi Zou, Cody Hao Yu, Zhenman Fang, Peng Zhang, Bingjun Xiao, Matteo Interlandi, Tyson Condie, Di Wu and Kevin Lim. Their work appears in journals such as Proceedings of the IEEE, IEEE Design and Test and PubMed.

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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