Bingbing Gao

2.3k citations
53 papers · 1.7k indexed · h-index 25
Topics
Target Tracking and Data Fusion in Sensor Networks (37 papers)Inertial Sensor and Navigation (28 papers)GNSS positioning and interference (13 papers)
Partner nations
ChinaAustraliaPakistan

In The Last Decade

Bingbing Gao

48 papers receiving 1.6k citations

Peers

Bingbing Gao
Comparison fields: 5 of 86
  • Artificial Intelligence 1.0k
  • Aerospace Engineering 987
  • Control and Systems Engineering 376
  • Electrical and Electronic Engineering 295
  • Ocean Engineering 246
Replace Gaoge Hu with:
Gaoge Hu China
Shesheng Gao China
Lubin Chang China
Haiyang Chao United States
Ángel F. García‐Fernández Spain
Jacques Georgy Canada
Zhemin Wu China
Конрад Рейф Germany
Chingiz Hajiyev Türkiye
Derek Kingston United States
Bingbing Gao relative to Gaoge Hu China Gaoge Hu's profile →
Citations per field
00.5×1.5×
Gaoge Hu · 1×
Citations per year

Countries citing papers authored by Bingbing Gao

Since Specialization
Citations

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

Fields of papers citing papers by Bingbing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingbing Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Bingbing Gao. A scholar is included among the top collaborators of Bingbing Gao 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 Bingbing Gao. Bingbing Gao 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 8
3 4
4 0
5 0
6 0
7 52
8 36
9 8
10 31
11 29
12 27
13 11
14 20
15 71
16 149
17 2
18
UKF-based optimal data fusion method for integrated INS/GNSS/CNS
1
19 1
20
Comprehensive Method of Regional Distribution Center Location
1

About Bingbing Gao

Bingbing Gao is a scholar working on Aerospace Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (37 papers), Inertial Sensor and Navigation (28 papers) and GNSS positioning and interference (13 papers). The work is most often cited by research in Aerospace Engineering (987 citations), Artificial Intelligence (1.0k citations) and Control and Systems Engineering (376 citations). Bingbing Gao has collaborated with scholars based in China, Australia and Pakistan. Frequent co-authors include Yongmin Zhong, Gaoge Hu, Chengfan Gu, Shesheng Gao, Xinhe Zhu, Wei Wang, Aleksandar Subic, Kup‐Sze Choi, Wenmin Li and Lubin Chang. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

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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