Kanghua Tang

491 citations
30 papers · 385 indexed · h-index 11
Topics
Inertial Sensor and Navigation (20 papers)GNSS positioning and interference (13 papers)Target Tracking and Data Fusion in Sensor Networks (12 papers)
Partner nations
ChinaIndiaAustralia

In The Last Decade

Kanghua Tang

28 papers receiving 376 citations

Peers

Kanghua Tang
Comparison fields: 5 of 34
  • Aerospace Engineering 323
  • Artificial Intelligence 169
  • Electrical and Electronic Engineering 116
  • Ocean Engineering 103
  • Computer Vision and Pattern Recognition 53
Replace Qiangwen Fu with:
Qiangwen Fu China
Torleiv H. Bryne Norway
Songlai Han China
Xianfei Pan China
Qin Yong-yuan China
Myeong‐Jong Yu South Korea
Feng Zha China
An Li China
Moon-Beom Heo South Korea
Chunyang Yu Canada
Kanghua Tang relative to Qiangwen Fu China Qiangwen Fu's profile →
Citations per field
00.5×9.5×
Qiangwen Fu · 1×
Citations per year

Countries citing papers authored by Kanghua Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kanghua Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanghua Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Kanghua Tang. A scholar is included among the top collaborators of Kanghua Tang 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 Kanghua Tang. Kanghua Tang 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 4
4 2
5 1
6 12
7 11
8 5
9 9
10 2
11 105
12 5
13 18
14 52
15 2
16 10
17
Acceleration aided EKF-PLL and analysis of time delay effect
1
18 4
19
Acquisition Issues of the High Dynamic GPS Receivers Aided by Inertial Information
1
20
Design and Evaluation of a Seamless GPS/INS Integrated Navigation System
1

About Kanghua Tang

Kanghua Tang is a scholar working on Aerospace Engineering, Artificial Intelligence and Ocean Engineering, having authored 30 papers that have together received 385 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (20 papers), GNSS positioning and interference (13 papers) and Target Tracking and Data Fusion in Sensor Networks (12 papers). The work is most often cited by research in Aerospace Engineering (323 citations), Ocean Engineering (103 citations) and Artificial Intelligence (169 citations). Kanghua Tang has collaborated with scholars based in China, India and Australia. Frequent co-authors include Meiping Wu, Wanli Li, Wenqi Wu, Jinling Wang, Youlong Wu, Xiao Hu, Xiaofeng He, Bing Luo, Lei He and Chen Fan. 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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