Ke Yan
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Indoor and Outdoor Localization Technologies 5
-
- Speech and Audio Processing 4
- Co-authors
- William H. K. Lam (2 shared papers)Bi Yu Chen (2 shared papers)Qingquan Li (2 shared papers)Hui Yuan (1 shared paper)Shih‐Lung Shaw (1 shared paper)Mengqi Yuan (5 shared papers)Difeng Zhu (3 shared papers)Ruizhi Chen (5 shared papers)
- Journals
- IEEE Sensors Journal (3 papers)Journal of Energy Storage (2 papers)Composite Structures (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Engineering Structures (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ke Yan
20 papers receiving 442 citations
Peers
Comparison fields: 5 of 62
- Transportation 154
- Signal Processing 100
- Building and Construction 116
- Ocean Engineering 77
- Automotive Engineering 56
Countries citing papers authored by Ke Yan
This map shows the geographic impact of Ke Yan'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 Ke Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yan more than expected).
Fields of papers citing papers by Ke Yan
This network shows the impact of papers produced by Ke Yan. 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 Ke Yan. The network helps show where Ke Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 138 | |
| 2 | 2023 | 72 | |
| 3 | 2013 | 62 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 37 | |
| 6 | 2023 | 25 | |
| 7 | 2024 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2024 | 15 | |
| 10 | 2023 | 7 | |
| 11 | 2016 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2014 | 2 | |
| 18 | 2025 | 1 | |
| 19 | Algorithm for Dynamic K Shortest-Pathsin Vehicle Navigation Sytem Based on GIS | 2001 | 1 |
| 20 | 2021 | 1 |
About Ke Yan
Ke Yan is a scholar working on Electrical and Electronic Engineering, Signal Processing, Mechanical Engineering, Automotive Engineering and Aerospace Engineering, having authored 21 papers that have together received 461 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (5 papers), Cellular and Composite Structures (4 papers), Speech and Audio Processing (4 papers), Risk and Safety Analysis (3 papers), Advanced Battery Technologies Research (3 papers), Reliability and Maintenance Optimization (2 papers), Structural Response to Dynamic Loads (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Transportation (154 citations), Signal Processing (100 citations), Building and Construction (116 citations), Ocean Engineering (77 citations) and Automotive Engineering (56 citations). Ke Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include William H. K. Lam, Bi Yu Chen, Qingquan Li, Hui Yuan, Shih‐Lung Shaw, Mengqi Yuan, Difeng Zhu, Ruizhi Chen, Shaobo Qi and Agachai Sumalee. Their work appears in journals such as IEEE Sensors Journal, Journal of Energy Storage, Composite Structures, IEEE Transactions on Intelligent Transportation Systems and Engineering Structures.
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.