Na Yan
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Developmental Biology top 10%
Papers in
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- Advanced Image Fusion Techniques 7
- RFID technology advancements 6
- Remote-Sensing Image Classification 2
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- IPv6, Mobility, Handover, Networks, Security 3
- Energy Harvesting in Wireless Networks 3
- IoT-based Smart Home Systems 2
- Co-authors
- Honglong Chen (8 shared papers)Kai Lin (7 shared papers)Zhibo Wang (3 shared papers)Dongkun Luo (1 shared paper)Guoxiong Zhou (3 shared papers)Aibin Chen (3 shared papers)Guoqi Ma (1 shared paper)Nan Jiang (3 shared papers)
In The Last Decade
Na Yan
24 papers receiving 357 citations
Peers
Comparison fields: 5 of 81
- Computer Science Applications 58
- Developmental Biology 19
- Media Technology 66
- Transportation 37
- Computer Vision and Pattern Recognition 87
Countries citing papers authored by Na Yan
This map shows the geographic impact of Na 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 Na Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Yan more than expected).
Fields of papers citing papers by Na Yan
This network shows the impact of papers produced by Na 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 Na Yan. The network helps show where Na Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2022 | 54 | |
| 3 | 2010 | 28 | |
| 4 | 2020 | 27 | |
| 5 | 2017 | 26 | |
| 6 | 2018 | 26 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 12 | |
| 10 | 2008 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2025 | 4 | |
| 19 | Probability and Verification of Constructing an Earthquake Predicting System | 2008 | 3 |
| 20 | 2018 | 3 |
About Na Yan
Na Yan is a scholar working on Media Technology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Atmospheric Science, having authored 30 papers that have together received 366 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (7 papers), RFID technology advancements (6 papers), Remote Sensing and Land Use (4 papers), IPv6, Mobility, Handover, Networks, Security (3 papers), Infrared Target Detection Methodologies (3 papers), Energy Harvesting in Wireless Networks (3 papers), Remote-Sensing Image Classification (2 papers) and IoT-based Smart Home Systems (2 papers). The work is most often cited by research in Computer Science Applications (58 citations), Developmental Biology (19 citations), Media Technology (66 citations), Transportation (37 citations) and Computer Vision and Pattern Recognition (87 citations). Na Yan has collaborated with scholars based in China, Germany and Bulgaria. Frequent co-authors include Honglong Chen, Kai Lin, Zhibo Wang, Dongkun Luo, Guoxiong Zhou, Aibin Chen, Guoqi Ma, Nan Jiang, Jianxin Chen and Zhe Li. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Multimedia Tools and Applications, IEEE Transactions on Intelligent Transportation Systems, Applied Sciences and IEEE Transactions on Mobile Computing.
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.