Gee Wah Ng

61 total papers · 583 total citations
45 papers, 395 citations indexed

About

Gee Wah Ng is a scholar working on Artificial Intelligence, Aerospace Engineering and Signal Processing. According to data from OpenAlex, Gee Wah Ng has authored 45 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 12 papers in Aerospace Engineering and 8 papers in Signal Processing. Recurrent topics in Gee Wah Ng's work include Target Tracking and Data Fusion in Sensor Networks (24 papers), Inertial Sensor and Navigation (6 papers) and Indoor and Outdoor Localization Technologies (6 papers). Gee Wah Ng is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (24 papers), Inertial Sensor and Navigation (6 papers) and Indoor and Outdoor Localization Technologies (6 papers). Gee Wah Ng collaborates with scholars based in Singapore, United States and China. Gee Wah Ng's co-authors include Yaakov Bar‐Shalom, Gangqiang Zhao, Junsong Yuan, Kezhi Mao, Eng‐Poh Ng, Kang Tai, Mieczyslaw M. Kokar, Rakesh Nagi, Felix Govaers and Erik Blasch and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, Information Fusion and IEEE Signal Processing Letters.

In The Last Decade

Gee Wah Ng

44 papers receiving 361 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gee Wah Ng 215 81 80 78 47 45 395
Jan Matuszewski 201 0.9× 181 2.2× 111 1.4× 51 0.7× 52 1.1× 41 418
Lingjie Li 243 1.1× 44 0.5× 41 0.5× 44 0.6× 39 0.8× 33 406
Qian Xiang 103 0.5× 55 0.7× 38 0.5× 57 0.7× 75 1.6× 58 404
Zhaoyue Zhang 211 1.0× 115 1.4× 80 1.0× 44 0.6× 65 1.4× 25 395
Roland Hostettler 162 0.8× 97 1.2× 156 1.9× 74 0.9× 56 1.2× 45 430
Yan Liang 264 1.2× 62 0.8× 34 0.4× 130 1.7× 26 0.6× 39 415
Rui Gao 91 0.4× 53 0.7× 75 0.9× 54 0.7× 73 1.6× 38 348
Hamid Esmaeili Najafabadi 97 0.5× 147 1.8× 111 1.4× 102 1.3× 35 0.7× 28 415
Leonardo Bobadilla 88 0.4× 62 0.8× 29 0.4× 90 1.2× 110 2.3× 68 409
Quanbo Ge 138 0.6× 34 0.4× 154 1.9× 39 0.5× 73 1.6× 57 405

Countries citing papers authored by Gee Wah Ng

Since Specialization
Citations

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

Fields of papers citing papers by Gee Wah Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gee Wah Ng. 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 Gee Wah Ng. The network helps show where Gee Wah Ng may publish in the future.

Co-authorship network of co-authors of Gee Wah Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Gee Wah Ng. A scholar is included among the top collaborators of Gee Wah Ng 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 Gee Wah Ng. Gee Wah Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026