Wei‐Lung Mao

73 papers receiving 662 citations

Peers

Wei‐Lung Mao
Comparison fields: 5 of 84
  • Electrical and Electronic Engineering 170
  • Aerospace Engineering 162
  • Computer Vision and Pattern Recognition 155
  • Industrial and Manufacturing Engineering 130
  • Artificial Intelligence 112
Replace Siwei Zhang with:
Siwei Zhang Germany
Duy Thanh Nguyen Australia
A. S. Cerqueira Brazil
Jingli Yang China
Barış Baykant Alagöz Türkiye
Роман Кочан Ukraine
Zhen Zhao China
Wei‐Lung Mao relative to Siwei Zhang Germany Siwei Zhang's profile →
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Citations per year

Countries citing papers authored by Wei‐Lung Mao

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Lung Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Lung Mao. 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 Wei‐Lung Mao. The network helps show where Wei‐Lung Mao may publish in the future.

Co-authorship network of co-authors of Wei‐Lung Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Lung Mao. A scholar is included among the top collaborators of Wei‐Lung Mao 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 Wei‐Lung Mao. Wei‐Lung Mao 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 3
3 3
4 4
5 1
6 7
7 189
8 2
9 6
10 5
11 2
12 3
13
UNAMBIGUOUS GALILEO ACQUISITION USING BINARY PHASE-SHIFT KEYING-LIKE PARALLEL SHIFT-AND-COMBINE METHOD
0
14
Two Approaches for GPS Interference Annihilation
1
15
A Novel Low-Complexity Acquisition Method for Next Generation GNSS Signals
4
16
Narrowband interference rejection in GPS receiver using adaptive lattice predictor
1
17 17
18 24
19
Cancellation of Narrowband Interference in GPS Receivers Using NDEKF-Based Recurrent Neural Network Predictors
1
20
Anti-jamming Solution of GPS Receiver Using Nonlinear Adaptive Predictor
1

About Wei‐Lung Mao

Wei‐Lung Mao is a scholar working on Aerospace Engineering, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 85 papers that have together received 681 indexed citations. Recurring topics across this work include GNSS positioning and interference (23 papers), Iterative Learning Control Systems (11 papers) and Inertial Sensor and Navigation (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (130 citations), Computer Vision and Pattern Recognition (155 citations) and Aerospace Engineering (162 citations). Wei‐Lung Mao has collaborated with scholars based in Taiwan, China and Indonesia. Frequent co-authors include Yu‐Hao Lin, Wei‐Chun Chen, Chien‐Tsung Wang, Hen‐Wai Tsao, Haris Imam Karim Fathurrahman, Chung‐Wen Hung, Suprapto Suprapto, Jyh Sheen, F.-R. Chang and Wann‐Jiun Ma. Their work appears in journals such as Journal of Cleaner Production, Sensors and Waste Management.

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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