Gang Ou

593 citations
82 papers · 386 · h-index 12

Impact in

Papers in

Gang Ou

72 papers receiving 368 citations

Peers

Gang Ou
Comparison fields: 5 of 59
  • Aerospace Engineering 226
  • Signal Processing 62
  • Ocean Engineering 52
  • Electrical and Electronic Engineering 161
  • Atomic and Molecular Physics, and Optics 67
Replace Paul Thevenon with:
Paul Thevenon France
Vincent Calmettes France
Muhammad Dawood United States
Ali A. Abdallah United States
Matteo Sgammini Germany
Baowang Lian China
David S. De Lorenzo United States
Chao Sun China
Martti Kirkko-Jaakkola Finland
Gang Ou relative to Paul Thevenon France Paul Thevenon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gang Ou

Since Specialization
Citations

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

Fields of papers citing papers by Gang Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gang Ou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gang Ou Line = papers co-authored together Gang Ou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201842
2 201732
3 201728
4 201423
5 201520
6 201916
7 201812
8 202212
9 201611
10 201811
11 201411
12 201311
13 20179
14 20159
15 19966
16 20116
17 20146
18 20185
19 20215
20 20125

About Gang Ou

Gang Ou is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computer Networks and Communications, having authored 82 papers that have together received 386 indexed citations. Recurring topics across this work include GNSS positioning and interference (48 papers), Inertial Sensor and Navigation (29 papers), Advanced Frequency and Time Standards (16 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Indoor and Outdoor Localization Technologies (9 papers), Geophysics and Gravity Measurements (9 papers), Advanced Adaptive Filtering Techniques (6 papers) and Satellite Communication Systems (6 papers). The work is most often cited by research in Aerospace Engineering (226 citations), Signal Processing (62 citations), Ocean Engineering (52 citations), Electrical and Electronic Engineering (161 citations) and Atomic and Molecular Physics, and Optics (67 citations). Gang Ou has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ao Peng, Lingxiang Zheng, Feiqiang Chen, Jianghong Shi, Jian Chen, Zukun Lu, Xiaomei Tang, Xinming Huang, Guangfu Sun and Ying Wang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IET Radar Sonar & Navigation, Remote Sensing, Electronics Letters and Sensors.

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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