Yi Pan

4.2k total citations · 2 hit papers
33 papers, 2.6k citations indexed

About

Yi Pan is a scholar working on Astronomy and Astrophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Yi Pan has authored 33 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Astronomy and Astrophysics, 8 papers in Ocean Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Yi Pan's work include Pulsars and Gravitational Waves Research (23 papers), Astrophysical Phenomena and Observations (17 papers) and Gamma-ray bursts and supernovae (9 papers). Yi Pan is often cited by papers focused on Pulsars and Gravitational Waves Research (23 papers), Astrophysical Phenomena and Observations (17 papers) and Gamma-ray bursts and supernovae (9 papers). Yi Pan collaborates with scholars based in United States, Germany and Canada. Yi Pan's co-authors include Alessandra Buonanno, Harald Pfeiffer, Mark Scheel, Larry Kidder, Alessandra Buonanno, Michael Boyle, E. Ochsner, B. S. Sathyaprakash, B. R. Iyer and Andrea Taracchini and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yi Pan

32 papers receiving 2.6k citations

Hit Papers

align trajectories

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.

Comparison of post-Newtonian templates for compact binary inspiral signals in gravitational-wave detectors

2009 403 citations Alessandra Buonanno, B. R. Iyer et al. Physical review. D. Particles, fields, gravitation, and cosmology profile →
Effective-one-body model for black-hole binaries with generic mass ratios and spins

2014 300 citations Andrea Taracchini, Alessandra Buonanno et al. Physical review. D. Particles, fields, gravitation, and cosmology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi Pan United States	21	2.5k	565	418	326	279	33	2.6k
Andrea Taracchini United States	15	2.2k 0.9×	484 0.9×	460 1.1×	303 0.9×	202 0.7×	19	2.2k
G. Pratten United Kingdom	23	2.1k 0.8×	421 0.7×	392 0.9×	292 0.9×	142 0.5×	52	2.2k
Theocharis A. Apostolatos Greece	18	1.9k 0.7×	493 0.9×	335 0.8×	278 0.9×	185 0.7×	31	1.9k
M. D. Hannam Germany	28	3.3k 1.3×	958 1.7×	422 1.0×	273 0.8×	308 1.1×	31	3.3k
Geoffrey Lovelace United States	23	2.2k 0.9×	759 1.3×	316 0.8×	195 0.6×	183 0.7×	39	2.3k
P. Ajith India	23	2.1k 0.8×	419 0.7×	345 0.8×	254 0.8×	191 0.7×	48	2.1k
D. Keitel Spain	19	1.8k 0.7×	396 0.7×	357 0.9×	242 0.7×	117 0.4×	41	1.9k
S. Babak France	20	1.9k 0.8×	482 0.9×	221 0.5×	220 0.7×	94 0.3×	37	2.0k
Daniel A. Hemberger United States	16	1.7k 0.7×	454 0.8×	320 0.8×	171 0.5×	144 0.5×	21	1.8k
Davide Gerosa United Kingdom	33	2.8k 1.1×	597 1.1×	270 0.6×	153 0.5×	135 0.5×	98	2.9k

Countries citing papers authored by Yi Pan

Since Specialization

Citations

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

Fields of papers citing papers by Yi Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Pan. A scholar is included among the top collaborators of Yi Pan 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 Yi Pan. Yi Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ansari, Ubedullah, et al.. (2025). Experimental assessment of the stability and impact of water-based fracturing fluid with and without Triethanolamine (TEA). SHILAP Revista de lepidopterología. 23. 100137–100137. 2 indexed citations

Dennis, C., Yi Pan, C. David Mazer, et al.. (2025). Semaglutide promotes bone marrow–derived progenitor cell flux towards an anti-inflammatory and pro-regenerative profile in high-risk patients: the SEMA-VR CardioLink-15 trial. European Heart Journal. 47(10). 1171–1182. 2 indexed citations

Ansari, Ubedullah, et al.. (2025). Optimizing gas well deliquification: Experimental analysis of surfactant-based strategies for liquid unloading in gas wells for enhanced recovery. SHILAP Revista de lepidopterología. 7. 100200–100200. 1 indexed citations

Pan, Yi, et al.. (2025). Effect of nine different exercise interventions on insulin sensitivity in diabetic patients: a systematic review and mesh meta-analysis. Frontiers in Endocrinology. 16. 1409474–1409474. 1 indexed citations

Pan, Yi, Sam Norton, James M. Gwinnutt, et al.. (2019). Not all moderate disease is the same – Identification of disability trajectories among patients with rheumatoid arthritis and moderate disease activity. PLoS ONE. 14(5). e0215999–e0215999. 11 indexed citations

Scheel, Mark, Béla Szilágyi, Jonathan Blackman, et al.. (2015). Numerical relativity reaching into post-Newtonian territory: a compact-object binary simulation spanning 350 gravitational-wave cycles. Bulletin of the American Physical Society. 2015. 1 indexed citations

Szilágyi, Béla, Jonathan Blackman, Alessandra Buonanno, et al.. (2015). Approaching the Post-Newtonian Regime with Numerical Relativity: A Compact-Object Binary Simulation Spanning 350 Gravitational-Wave Cycles. Physical Review Letters. 115(3). 31102–31102. 50 indexed citations

Taracchini, Andrea, Yi Pan, Alessandra Buonanno, et al.. (2013). Accurate modeling of inspiral-merger-ringdown waveforms from non-precessing, spinning black-hole binaries. Bulletin of the American Physical Society. 2013.

Taracchini, Andrea, Yi Pan, Alessandra Buonanno, et al.. (2012). Prototype effective-one-body model for nonprecessing spinning inspiral-merger-ringdown waveforms. Physical review. D. Particles, fields, gravitation, and cosmology. 86(2). 173 indexed citations

10.

Yunes, Nicolás, Alessandra Buonanno, Scott A. Hughes, et al.. (2011). Extreme mass-ratio inspirals in the effective-one-body approach: Quasicircular, equatorial orbits around a spinning black hole. Physical review. D. Particles, fields, gravitation, and cosmology. 83(4). 71 indexed citations

11.

Yunes, Nicolás, Alessandra Buonanno, Scott A. Hughes, M. Coleman Miller, & Yi Pan. (2010). Modeling Extreme Mass Ratio Inspirals within the Effective-One-Body Approach. Physical Review Letters. 104(9). 91102–91102. 77 indexed citations

12.

Pan, Yi, et al.. (2010). Research Progress of Modelling on Cold Heavy Oil Production with Sand. SPE Western Regional Meeting. 12 indexed citations

13.

Buonanno, Alessandra, Yi Pan, Harald Pfeiffer, et al.. (2009). Effective-one-body waveforms calibrated to numerical relativity simulations: Coalescence of nonspinning, equal-mass black holes. Physical review. D. Particles, fields, gravitation, and cosmology. 79(12). 150 indexed citations

14.

Buonanno, Alessandra, B. R. Iyer, E. Ochsner, Yi Pan, & B. S. Sathyaprakash. (2009). Comparison of post-Newtonian templates for compact binary inspiral signals in gravitational-wave detectors. Physical review. D. Particles, fields, gravitation, and cosmology. 80(8). 403 indexed citations breakdown →

15.

Pan, Yi, Alessandra Buonanno, John G. Baker, et al.. (2008). Data-analysis driven comparison of analytic and numerical coalescing binary waveforms: Nonspinning case. Physical review. D. Particles, fields, gravitation, and cosmology. 77(2). 99 indexed citations

16.

Buonanno, Alessandra, Yi Pan, John G. Baker, et al.. (2007). Approaching faithful templates for nonspinning binary black holes using the effective-one-body approach. Physical review. D. Particles, fields, gravitation, and cosmology. 76(10). 192 indexed citations

17.

Buonanno, Alessandra, Yanbei Chen, Yi Pan, Hideyuki Tagoshi, & Michele Vallisneri. (2005). Detecting gravitational waves from precessing binaries of spinning compact objects. II. Search implementation for low-mass binaries. Physical review. D. Particles, fields, gravitation, and cosmology. 72(8). 29 indexed citations

18.

Vandeghinste, Vincent & Yi Pan. (2004). Sentence Compression for Automated Subtitling: A Hybrid Approach. Meeting of the Association for Computational Linguistics. 89–95. 29 indexed citations

19.

Jin, Hai, Yi Pan, Nong Xiao, & Jianhua Sun. (2004). Grid and Cooperative Computing - GCC 2004 Workshops: GCC 2004 International Workshops, IGKG, SGT, GISS, AAC-GEVO, and VVS, Wuhan, China, October 21-24, 2004 (Lecture Notes in Computer Science). Springer eBooks. 1 indexed citations

20.

Pan, Yi, Alessandra Buonanno, Yanbei Chen, & Michele Vallisneri. (2004). Physical template family for gravitational waves from precessing binaries of spinning compact objects: Application to single-spin binaries. Physical review. D. Particles, fields, gravitation, and cosmology. 69(10). 72 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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