Shi Dai

8.3k total citations · 1 hit paper
94 papers, 1.4k citations indexed

About

Shi Dai is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Shi Dai has authored 94 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Astronomy and Astrophysics, 21 papers in Nuclear and High Energy Physics and 16 papers in Oceanography. Recurrent topics in Shi Dai's work include Pulsars and Gravitational Waves Research (72 papers), Radio Astronomy Observations and Technology (43 papers) and Gamma-ray bursts and supernovae (22 papers). Shi Dai is often cited by papers focused on Pulsars and Gravitational Waves Research (72 papers), Radio Astronomy Observations and Technology (43 papers) and Gamma-ray bursts and supernovae (22 papers). Shi Dai collaborates with scholars based in Australia, China and United States. Shi Dai's co-authors include G. Hobbs, M. Kerr, R. M. Shannon, R. N. Manchester, S. Johnston, M. Bailes, S. Osłowski, W. van Straten, W. A. Coles and P. Weltevrede and has published in prestigious journals such as The Astrophysical Journal, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Shi Dai

81 papers receiving 1.3k citations

Hit Papers

TransNeXt: Robust Foveal Visual Perception for Vision Tra... 2024 2026 2025 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Dai Australia 20 1.1k 294 280 144 113 94 1.4k
Peng Jiang China 19 1.1k 1.0× 282 1.0× 74 0.3× 99 0.7× 37 0.3× 158 1.5k
Ziren Luo China 14 581 0.5× 94 0.3× 170 0.6× 245 1.7× 42 0.4× 76 839
Pierre Rochus Belgium 16 1.0k 0.9× 167 0.6× 37 0.1× 131 0.9× 140 1.2× 82 1.5k
Hsien‐Chi Yeh China 17 263 0.2× 74 0.3× 100 0.4× 350 2.4× 36 0.3× 69 751
E. Chassande‐Mottin France 15 309 0.3× 73 0.2× 91 0.3× 37 0.3× 146 1.3× 33 688
C. de Villedary France 11 863 0.8× 150 0.5× 45 0.2× 60 0.4× 420 3.7× 16 1.2k
Hideyuki Suzuki Japan 21 824 0.7× 884 3.0× 38 0.1× 81 0.6× 94 0.8× 101 1.5k
Bin Chen China 20 1.0k 0.9× 108 0.4× 24 0.1× 79 0.5× 26 0.2× 147 1.5k
Rendong Nan China 11 382 0.3× 99 0.3× 44 0.2× 29 0.2× 16 0.1× 42 619
David A. Garren United States 15 295 0.3× 196 0.7× 56 0.2× 39 0.3× 9 0.1× 67 863

Countries citing papers authored by Shi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Dai. A scholar is included among the top collaborators of Shi 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 Shi Dai. Shi 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.
Wang, Shuangqiang, Na Wang, Shi Dai, et al.. (2025). Polarization studies of black widows PSRs B1957+20, J2055+3829, and J1544+4937. Monthly Notices of the Royal Astronomical Society. 541(1). 85–92.
2.
Dai, Shi, Qi‐Jun Zhi, Francesca Calore, et al.. (2025). Discovery of 15 New Pulsars at High Galactic Latitudes with FAST. The Astrophysical Journal. 982(2). 117–117.
3.
Alsaberi, R. Z. E., M. D. Filipović, Hidetoshi Sano, et al.. (2025). A new radio continuum study of the large magellanic cloud supernova remnant MC SNR J0519–6902. Publications of the Astronomical Society of Australia. 42.
4.
Zhang, Songbo, Jun-Jie Wei, Shi Dai, et al.. (2025). Searching for Radio Pulsars in Old Open Clusters from the Parkes Archive. The Astrophysical Journal. 988(1). 21–21. 1 indexed citations
5.
Liu, Chenchen, Shi Dai, Shoujiang You, et al.. (2025). Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke. Frontiers in Aging Neuroscience. 16. 1492078–1492078.
6.
Liu, Ping, et al.. (2024). Students health physique information sharing in publicly collaborative services over edge-cloud networks. Journal of Cloud Computing Advances Systems and Applications. 13(1). 1 indexed citations
7.
Chen, Li, et al.. (2024). Macroscale Ultradurable Antiwear Achieved on Graphene‐Based Films via Multiphase Combination. Advanced Engineering Materials. 26(13).
8.
Lower, M. E., S. Johnston, Maxim Lyutikov, et al.. (2024). Linear to circular conversion in the polarized radio emission of a magnetar. Nature Astronomy. 8(5). 606–616. 10 indexed citations
9.
Curyło, M., Timothy T. Pennucci, M. Bailes, et al.. (2023). Wide-band Timing of the Parkes Pulsar Timing Array UWL Data. The Astrophysical Journal. 944(2). 128–128. 8 indexed citations
10.
Wang, Shuangqiang, Jingbo Wang, Jumei Yao, et al.. (2023). Change of Rotation Measure during the Eclipse of a Black Widow PSR J2051−0827. The Astrophysical Journal. 955(1). 36–36. 5 indexed citations
11.
Hobbs, G., Minh Huynh, Vivien Rolland, et al.. (2022). SPARKESX: Single-dish PARKES data sets for finding the uneXpected – a data challenge. Monthly Notices of the Royal Astronomical Society. 516(4). 5832–5848. 2 indexed citations
12.
Lower, M. E., S. Johnston, L. Dunn, et al.. (2021). The impact of glitches on young pulsar rotational evolution. Monthly Notices of the Royal Astronomical Society. 508(3). 3251–3274. 52 indexed citations
13.
Dai, Shi, J. G. Lu, Chen Wang, et al.. (2021). On the Circular Polarization of Repeating Fast Radio Bursts. The Astrophysical Journal. 920(1). 46–46. 9 indexed citations
14.
Bhat, N. D. R., M. Sokołowski, S. J. McSweeney, et al.. (2021). Discovery of a Steep-spectrum Low-luminosity Pulsar with the Murchison Widefield Array. The Astrophysical Journal Letters. 911(2). L26–L26. 13 indexed citations
15.
Reardon, Daniel J., R. M. Shannon, A D Cameron, et al.. (2021). The Parkes pulsar timing array second data release: timing analysis. Monthly Notices of the Royal Astronomical Society. 507(2). 2137–2153. 41 indexed citations
16.
Zhang, Chunfeng, Jiawei Xu, Yunpeng Men, et al.. (2021). Fast radio burst detection in the presence of coloured noise. Monthly Notices of the Royal Astronomical Society. 503(4). 5223–5231. 6 indexed citations
17.
Zhang, C., Chen Wang, G. Hobbs, et al.. (2020). Applying saliency-map analysis in searches for pulsars and fast radio bursts. Springer Link (Chiba Institute of Technology). 9 indexed citations
18.
Goncharov, B., Daniel J. Reardon, R. M. Shannon, et al.. (2020). Identifying and mitigating noise sources in precision pulsar timing data sets. Monthly Notices of the Royal Astronomical Society. 502(1). 478–493. 52 indexed citations
19.
Zhang, Songbo, G. Hobbs, Craig Russell, et al.. (2020). Parkes Transient Events. I. Database of Single Pulses, Initial Results, and Missing Fast Radio Bursts. The Astrophysical Journal Supplement Series. 249(1). 14–14. 9 indexed citations
20.
Zhang, Songbo, G. Hobbs, Shi Dai, et al.. (2019). A new fast radio burst in the data sets containing the Lorimer burst. Monthly Notices of the Royal Astronomical Society Letters. 484(1). L147–L150. 15 indexed citations

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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