G. Huang

2.4k total citations
139 papers, 1.8k citations indexed

About

G. Huang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, G. Huang has authored 139 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Electrical and Electronic Engineering, 27 papers in Computer Networks and Communications and 24 papers in Control and Systems Engineering. Recurrent topics in G. Huang's work include Power System Optimization and Stability (41 papers), Optimal Power Flow Distribution (34 papers) and Electric Power System Optimization (15 papers). G. Huang is often cited by papers focused on Power System Optimization and Stability (41 papers), Optimal Power Flow Distribution (34 papers) and Electric Power System Optimization (15 papers). G. Huang collaborates with scholars based in United States, China and Thailand. G. Huang's co-authors include J. Zaborszky, Jinyun Dong, Shaoshun Li, Qijing Zhang, John K. Antonio, Nirmal‐Kumar C. Nair, Bowen Zheng, Tommy Leung, Ping Yan and Qingqing Meng and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Agricultural and Food Chemistry and Automatica.

In The Last Decade

G. Huang

129 papers receiving 1.7k citations

Peers

G. Huang
Comparison fields: 5 of 113
  • Electrical and Electronic Engineering 705
  • Organic Chemistry 363
  • Control and Systems Engineering 307
  • Molecular Biology 253
  • Computer Networks and Communications 183
Replace Haichun Liu with:
Haichun Liu China
René Thomsen Denmark
Francisco J. Solís Mexico
Giovanni Russo Italy
Subhabrata Sen India
Rafael F. Schaefer Germany
Makoto Naruse Japan
H. Sachs Germany
Günter M. Ziegler Germany
W. E. Donath United States
Haichun Liu China View profile →
Citations per field, relative to G. Huang
G. Huang · 1×
Citations per year, relative to G. Huang
G. Huang · 1×

Countries citing papers authored by G. Huang

Since Specialization
Citations

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

Fields of papers citing papers by G. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of G. Huang. A scholar is included among the top collaborators of G. 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 G. Huang. G. 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
# Work Indexed citations
1 0
2 33
3 17
4 19
5 29
6 20
7 30
8 7
9 13
10 3
11 12
12 51
13 30
14 34
15 2
16 6
17 2
18 0
19 3
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026