Ding Pan

3.1k total citations
78 papers, 2.4k citations indexed

About

Ding Pan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ding Pan has authored 78 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 22 papers in Electrical and Electronic Engineering and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ding Pan's work include Fiber-reinforced polymer composites (11 papers), High-pressure geophysics and materials (11 papers) and Graphene research and applications (11 papers). Ding Pan is often cited by papers focused on Fiber-reinforced polymer composites (11 papers), High-pressure geophysics and materials (11 papers) and Graphene research and applications (11 papers). Ding Pan collaborates with scholars based in China, Hong Kong and United States. Ding Pan's co-authors include Giulia Galli, Chi‐Ming Che, Angelos Michaelides, Jie‐Sheng Huang, Xin‐Yuan Liu, Ben Slater, Ning Pan, Lianjiang Tan, He Yan and Yuandong Niu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ding Pan

76 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding Pan China 30 741 638 568 377 324 78 2.4k
Kimberly Chenoweth United States 13 2.0k 2.7× 436 0.7× 287 0.5× 485 1.3× 336 1.0× 20 3.4k
Chihiro Kaito Japan 25 1.4k 1.9× 835 1.3× 208 0.4× 260 0.7× 129 0.4× 190 2.5k
Santanu Bhattacharyya India 31 2.4k 3.2× 802 1.3× 205 0.4× 314 0.8× 219 0.7× 155 3.9k
Steven F. Dec United States 35 785 1.1× 320 0.5× 137 0.2× 406 1.1× 361 1.1× 61 3.7k
Christophe Bichara France 29 2.4k 3.3× 811 1.3× 172 0.3× 272 0.7× 303 0.9× 83 2.9k
Takashi Ikeda Japan 32 1.5k 2.0× 2.0k 3.2× 219 0.4× 573 1.5× 284 0.9× 133 4.2k
Markus Mezger Germany 34 1.1k 1.5× 795 1.2× 469 0.8× 507 1.3× 620 1.9× 69 3.5k
David F. Cox United States 35 2.1k 2.8× 1.1k 1.7× 324 0.6× 273 0.7× 292 0.9× 97 3.3k
Stephen G. Urquhart Canada 28 745 1.0× 633 1.0× 327 0.6× 584 1.5× 267 0.8× 79 2.6k
Xin Ju China 30 2.0k 2.7× 731 1.1× 206 0.4× 554 1.5× 138 0.4× 236 3.3k

Countries citing papers authored by Ding Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ding Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Pan. A scholar is included among the top collaborators of Ding 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 Ding Pan. Ding Pan 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.
Liu, G.K., et al.. (2025). First-principles machine-learning study of infrared spectra of methane under extreme pressure and temperature conditions. Chemical Physics Letters. 869. 142036–142036. 1 indexed citations
2.
Wu, Juntao, et al.. (2025). High-strain dynamic analysis model of open-ended pipe piles that considers effective soil plug. Soil Dynamics and Earthquake Engineering. 196. 109446–109446.
3.
Li, Taiwen, Ding Pan, Huiqin Li, et al.. (2024). Highly tri-heteroatom doped porous carbon for aqueous and flexible quasi-solid-state zinc-ion hybrid supercapacitors. Journal of Energy Storage. 89. 111789–111789. 6 indexed citations
4.
Tian, Ye, Yizhi Song, Zixiang Yan, et al.. (2024). Imaging surface structure and premelting of ice Ih with atomic resolution. Nature. 630(8016). 375–380. 41 indexed citations
5.
Liu, Bin, Philip C. Y. Chow, Junzhi Liu, & Ding Pan. (2024). Polarized local excitons assist charge dissociation in Y6-based nonfullerene organic solar cells: a nonadiabatic molecular dynamics study. Journal of Materials Chemistry A. 12(26). 15974–15983. 1 indexed citations
6.
Wen, Minjie, Yi Tian, Xingyi Zhu, et al.. (2024). A Multi‐Zone Axisymmetric Model for Consolidation of Saturated Soils Improved by PVTD With Interfacial Thermal Resistance. International Journal for Numerical and Analytical Methods in Geomechanics. 49(4). 1158–1178. 3 indexed citations
7.
Kang, Ting, Xu Han, Yong Liu, et al.. (2022). Band Alignment Engineering by Twist Angle and Composition Modulation for Heterobilayer. Small. 18(29). e2202229–e2202229. 4 indexed citations
8.
Pan, Ding, et al.. (2022). Nanoconfinement facilitates reactions of carbon dioxide in supercritical water. Nature Communications. 13(1). 5932–5932. 30 indexed citations
9.
Cai, Xiangbin, Zefei Wu, Xu Han, et al.. (2022). Bridging the gap between atomically thin semiconductors and metal leads. Nature Communications. 13(1). 1777–1777. 33 indexed citations
10.
Pan, Ding & Giulia Galli. (2020). A first principles method to determine speciation of carbonates in supercritical water. Nature Communications. 11(1). 421–421. 30 indexed citations
11.
Li, Yang, Baikui Li, Hui Li, et al.. (2019). Interface charge-transfer induced intralayer excited-state biexcitons in graphene/WS2 van der Waals heterostructures. Nanoscale. 11(28). 13552–13557. 18 indexed citations
12.
Shi, Le, Ao Xu, Ding Pan, & Tianshou Zhao. (2019). Aqueous proton-selective conduction across two-dimensional graphyne. Nature Communications. 10(1). 1165–1165. 68 indexed citations
13.
Li, Hui, Xu Han, Ding Pan, et al.. (2018). Bandgap Engineering of InSe Single Crystals through S Substitution. Crystal Growth & Design. 18(5). 2899–2904. 19 indexed citations
14.
Pan, Ding & Xue‐Qing Gong. (2016). Locating structures and evolution pathways of reconstructed rutile TiO2(011) using genetic algorithm aided density functional theory calculations. Journal of Molecular Modeling. 22(5). 114–114. 2 indexed citations
15.
Boulard, E., Ding Pan, Giulia Galli, Zhenxian Liu, & Wendy L. Mao. (2015). Tetrahedrally coordinated carbonates in Earth’s lower mantle. Nature Communications. 6(1). 6311–6311. 53 indexed citations
16.
Barman, Soumendra, Ding Pan, Michael Vosgueritchian, et al.. (2012). Dispersion of single walled carbon nanotubes in amidine solvents. Nanotechnology. 23(34). 344011–344011. 5 indexed citations
17.
Watkins, Matthew B., Ding Pan, E. G. Wang, et al.. (2011). Large variation of vacancy formation energies in the surface of crystalline ice. Nature Materials. 10(10). 794–798. 56 indexed citations
18.
Starr, David E., Ding Pan, John T. Newberg, et al.. (2011). Acetone adsorption on ice investigated by X-ray spectroscopy and density functional theory. Physical Chemistry Chemical Physics. 13(44). 19988–19988. 30 indexed citations
19.
Pan, Ding, Yuandong Niu, Gareth A. Tribello, et al.. (2008). Surface Energy and Surface Proton Order of IceIh. Physical Review Letters. 101(15). 155703–155703. 66 indexed citations
20.
Wu, Qilin, et al.. (2006). Fractal Aperture Distribution of Activated Carbon Fiber and Adsorption Behavior to Low‐Density Benzene Steam. Journal of Dispersion Science and Technology. 27(8). 1157–1160. 2 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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