Xiaolei Dai

1.1k total citations · 1 hit paper
27 papers, 871 citations indexed

About

Xiaolei Dai is a scholar working on Aerospace Engineering, Astronomy and Astrophysics and Oceanography. According to data from OpenAlex, Xiaolei Dai has authored 27 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aerospace Engineering, 17 papers in Astronomy and Astrophysics and 17 papers in Oceanography. Recurrent topics in Xiaolei Dai's work include GNSS positioning and interference (26 papers), Geophysics and Gravity Measurements (17 papers) and Ionosphere and magnetosphere dynamics (17 papers). Xiaolei Dai is often cited by papers focused on GNSS positioning and interference (26 papers), Geophysics and Gravity Measurements (17 papers) and Ionosphere and magnetosphere dynamics (17 papers). Xiaolei Dai collaborates with scholars based in China, Germany and Switzerland. Xiaolei Dai's co-authors include Maorong Ge, Harald Schuh, Jens Wickert, Xingxing Li, M. Fritsche, Xiaodong Ren, Chuang Shi, Yidong Lou, Xiaopeng Gong and Shengfeng Gu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Measurement.

In The Last Decade

Xiaolei Dai

26 papers receiving 848 citations

Hit Papers

Accuracy and reliability of multi-GNSS real-time precise ... 2015 2026 2018 2022 2015 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo
    2015 534 citations Xingxing Li, Maorong Ge et al. Journal of Geodesy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaolei Dai China 11 786 556 400 216 74 27 871
Jiexian Wang China 17 710 0.9× 504 0.9× 370 0.9× 189 0.9× 31 0.4× 59 775
Gerhard Wübbena Germany 15 923 1.2× 632 1.1× 378 0.9× 233 1.1× 122 1.6× 36 1.0k
Weiming Tang China 14 701 0.9× 493 0.9× 373 0.9× 90 0.4× 74 1.0× 54 847
Junyi Xu China 9 763 1.0× 498 0.9× 380 0.9× 172 0.8× 78 1.1× 12 818
Lambert Wanninger Germany 17 1.0k 1.3× 701 1.3× 555 1.4× 242 1.1× 143 1.9× 38 1.1k
Weiwei Song China 17 643 0.8× 445 0.8× 379 0.9× 195 0.9× 43 0.6× 50 702
Bijiao Sun China 7 503 0.6× 306 0.6× 238 0.6× 142 0.7× 72 1.0× 8 589
Dmitry Tatarnikov Russia 6 686 0.9× 415 0.7× 279 0.7× 121 0.6× 91 1.2× 21 827
Tomasz Hadaś Poland 17 1.0k 1.3× 815 1.5× 558 1.4× 243 1.1× 36 0.5× 38 1.1k
Yulong Ge China 17 718 0.9× 382 0.7× 339 0.8× 420 1.9× 55 0.7× 56 795

Countries citing papers authored by Xiaolei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaolei Dai. 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 Xiaolei Dai. The network helps show where Xiaolei Dai may publish in the future.

Co-authorship network of co-authors of Xiaolei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Dai. A scholar is included among the top collaborators of Xiaolei Dai 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 Xiaolei Dai. Xiaolei Dai 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
1.
2.
Luo, Xiaomin, et al.. (2024). An Improved Stochastic Model for the Geodetic GNSS Receivers Under Ionospheric Scintillation at Low Latitudes. Space Weather. 22(2). 1 indexed citations
3.
Dai, Xiaolei, et al.. (2024). An improved method for LEO orbit prediction using predicted accelerometer data. GPS Solutions. 28(3). 1 indexed citations
4.
Xiong, Wenhao, et al.. (2024). Analysis of Multi-GNSS Multipath for Parameter-Unified Autocorrelation-Based Mitigation and the Impact of Constellation Shifts. Remote Sensing. 16(21). 4009–4009. 2 indexed citations
5.
Lou, Yidong, et al.. (2023). Analysis of sub-daily polar motion derived from GPS with different temporal resolutions. GPS Solutions. 28(1). 1 indexed citations
6.
7.
Song, Weiwei, et al.. (2022). BDS near real-time maneuver detection based on triple-differenced phase observations. Advances in Space Research. 69(8). 3032–3043. 4 indexed citations
8.
Dai, Xiaolei, et al.. (2022). Real-time precise orbit and clock estimation of multi-GNSS satellites with undifferenced ambiguity resolution. Journal of Geodesy. 96(10). 14 indexed citations
9.
Lou, Yidong, et al.. (2022). Impact of solar radiation pressure models on earth rotation parameters derived from BDS. GPS Solutions. 26(4). 10 indexed citations
10.
Lou, Yidong, Xiaolei Dai, Xiaopeng Gong, et al.. (2022). A review of real-time multi-GNSS precise orbit determination based on the filter method. SHILAP Revista de lepidopterología. 3(1). 33 indexed citations
11.
Dai, Xiaolei, et al.. (2022). Evaluation of strategies for the ultra-rapid orbit prediction of BDS GEO satellites. Geo-spatial Information Science. 26(1). 16–30. 2 indexed citations
12.
Dai, Xiaolei, et al.. (2021). BDS-2 and BDS-3 combined precise orbit determination with hybrid ambiguity resolution. Measurement. 188. 110593–110593. 6 indexed citations
13.
Dai, Xiaolei, et al.. (2019). Real-time precise orbit determination for BDS satellites using the square root information filter. GPS Solutions. 23(2). 21 indexed citations
14.
Liu, Yang, et al.. (2019). Impact of ECOM Solar Radiation Pressure Models on Multi-GNSS Ultra-Rapid Orbit Determination. Remote Sensing. 11(24). 3024–3024. 4 indexed citations
15.
Dai, Zhiqiang, et al.. (2018). Multi-GNSS real-time clock estimation using the dual-thread parallel method. Advances in Space Research. 62(9). 2518–2528. 7 indexed citations
16.
Lou, Yidong, et al.. (2017). Benefits of satellite clock modeling in BDS and Galileo orbit determination. Advances in Space Research. 60(12). 2550–2560. 14 indexed citations
17.
Shi, Chuang, Fu Zheng, Yidong Lou, et al.. (2017). National BDS Augmentation Service System (NBASS) of China: Progress and Assessment. Remote Sensing. 9(8). 837–837. 22 indexed citations
18.
Li, Min, Wenwen Li, Chuang Shi, et al.. (2017). Precise orbit determination of the Fengyun-3C satellite using onboard GPS and BDS observations. Journal of Geodesy. 91(11). 1313–1327. 56 indexed citations
19.
Wu, Yun, et al.. (2017). Long-term behavior and statistical characterization of BeiDou signal-in-space errors. GPS Solutions. 21(4). 1907–1922. 39 indexed citations
20.
Li, Xingxing, Maorong Ge, Xiaolei Dai, et al.. (2015). Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo. Journal of Geodesy. 89(6). 607–635. 534 indexed citations breakdown →

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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