Gang Huang

1.8k citations
59 papers · 1.1k indexed · h-index 17
Topics
Advanced Software Engineering Methodologies (7 papers)Smart Grid Energy Management (7 papers)Optimal Power Flow Distribution (7 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Gang Huang

53 papers receiving 1.0k citations

Peers

Gang Huang
Comparison fields: 5 of 74
  • Electrical and Electronic Engineering 608
  • Control and Systems Engineering 462
  • Computer Networks and Communications 183
  • Civil and Structural Engineering 164
  • Artificial Intelligence 154
Replace Men‐Shen Tsai with:
Men‐Shen Tsai Taiwan
Matthias Stifter Austria
Noel N. Schulz United States
Weiting Zhang China
Gulnara Zhabelova Sweden
P. Venkatesh India
Yabing Zha China
Peng Zhuang Canada
Morteza Dabbaghjamanesh United States
Gang Huang relative to Men‐Shen Tsai Taiwan Men‐Shen Tsai's profile →
Citations per field
00.5×5.6×
Men‐Shen Tsai · 1×
Citations per year

Countries citing papers authored by Gang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Gang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Huang. A scholar is included among the top collaborators of Gang 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 Gang Huang. Gang Huang 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 0
3 2
4 0
5 1
6 2
7 8
8 3
9 1
10 3
11 26
12 22
13 1
14 1
15 10
16
Negotiation-Enabled Modeling and Verification of Architectural Behavior of Internetware
1
17
Data quality assessment architecture research based on metadata-driven
1
18
Application of Modern Information Technology in Physical Education Teaching
1
19
SM@RT: Applying Architecture-based Runtime Management into Internetware Systems
10
20
Science-Technology Value Chains and the Linking Models among Multiple Innovation Entities
1

About Gang Huang

Gang Huang is a scholar working on General Energy, Energy Engineering and Power Technology and Software, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (7 papers), Smart Grid Energy Management (7 papers) and Optimal Power Flow Distribution (7 papers). The work is most often cited by research in Control and Systems Engineering (462 citations), Safety, Risk, Reliability and Quality (147 citations) and Energy Engineering and Power Technology (46 citations). Gang Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chuangxin Guo, Jianhui Wang, Chen Chen, Xuan Liu, Wenyuan Li, Yunfeng Wen, Junjian Qi, Wei Hua, Hong Mei and Yongfu Li. Their work appears in journals such as Applied Energy, IEEE Transactions on Power Systems 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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