Fang‐Cheng Chan

514 citations
18 papers · 389 indexed · h-index 10

Impact in

Papers in

Fang‐Cheng Chan

18 papers receiving 349 citations

Peers

Fang‐Cheng Chan
Comparison fields: 5 of 40
  • Aerospace Engineering 322
  • Astronomy and Astrophysics 68
  • Artificial Intelligence 117
  • Oceanography 41
  • Statistics, Probability and Uncertainty 19
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Citations per year

Countries citing papers authored by Fang‐Cheng Chan

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Cheng Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang‐Cheng Chan. 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 Fang‐Cheng Chan. The network helps show where Fang‐Cheng Chan may publish in the future.

Co-authors

The 13 scholars most cited alongside Fang‐Cheng Chan, 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 Fang‐Cheng Chan Line = papers co-authored together Fang‐Cheng Chan links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20151
2 20152
3 201411
4 201495
5 201418
6 20146
7 2014120
8
Multi-dimensional Ionospheric Gradient Detection for GBAS
20131
9 201210
10 20111
11 201010
12 20108
13
Cycle Ambiguity Reacquisition in UAV Applications using a Novel GPS/INS Integration Algorithm
20099
14
A state dynamics method for integrated GPS /INS navigation and its application to aircraft precision approach
20084
15 200620
16 200333
17 200320
18
Ephemeris Protection Level Equations and Monitor Algorithms for GBAS
200120

About Fang‐Cheng Chan

Fang‐Cheng Chan is a scholar working on Aerospace Engineering, Statistics, Probability and Uncertainty, Astronomy and Astrophysics, Oceanography and Atomic and Molecular Physics, and Optics, having authored 18 papers that have together received 389 indexed citations. Recurring topics across this work include GNSS positioning and interference (16 papers), Inertial Sensor and Navigation (7 papers), Advanced Frequency and Time Standards (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Ionosphere and magnetosphere dynamics (4 papers), Atomic and Subatomic Physics Research (2 papers), Geophysics and Gravity Measurements (2 papers) and Wireless Communication Networks Research (2 papers). The work is most often cited by research in Aerospace Engineering (322 citations), Astronomy and Astrophysics (68 citations), Artificial Intelligence (117 citations), Oceanography (41 citations) and Statistics, Probability and Uncertainty (19 citations). Fang‐Cheng Chan has collaborated with scholars based in United States and Canada. Frequent co-authors include Boris Pervan, Mathieu Joerger, Samer Khanafseh, Steven Langel, Sam Pullen, Demoz Gebre‐Egziabher, Per Enge, Donghyun Kim, Richard B. Langley and Ming Luo. Their work appears in journals such as Journal of Navigation, Journal of Guidance Control and Dynamics, NAVIGATION Journal of the Institute of Navigation, IEEE Transactions on Aerospace and Electronic Systems and Radio Science.

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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