E. J. Ding

2.1k total citations · 1 hit paper
72 papers, 1.7k citations indexed

About

E. J. Ding is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, E. J. Ding has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistical and Nonlinear Physics, 23 papers in Condensed Matter Physics and 19 papers in Computer Networks and Communications. Recurrent topics in E. J. Ding's work include Theoretical and Computational Physics (23 papers), Nonlinear Dynamics and Pattern Formation (19 papers) and Quantum chaos and dynamical systems (19 papers). E. J. Ding is often cited by papers focused on Theoretical and Computational Physics (23 papers), Nonlinear Dynamics and Pattern Formation (19 papers) and Quantum chaos and dynamical systems (19 papers). E. J. Ding collaborates with scholars based in China, United States and Australia. E. J. Ding's co-authors include Cyrus K. Aidun, Yannan Lu, Mingzhou Ding, Weiming Yang, Peng Jian-hua, Hongliu Yang, Shudong Zhang, Yu Lu, P. C. Hemmer and Weiming Yang and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of Fluid Mechanics.

In The Last Decade

E. J. Ding

68 papers receiving 1.5k citations

Hit Papers

Direct analysis of particulate suspensions with inertia u... 1998 2026 2007 2016 1998 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. J. Ding China 17 830 598 457 351 225 72 1.7k
B. Hasslacher United States 9 1.4k 1.7× 158 0.3× 156 0.3× 538 1.5× 110 0.5× 10 2.3k
Iliya V. Karlin Switzerland 29 2.2k 2.6× 522 0.9× 123 0.3× 757 2.2× 87 0.4× 72 2.8k
Olof Runborg Sweden 16 586 0.7× 343 0.6× 73 0.2× 230 0.7× 45 0.2× 51 1.5k
Alexei A. Mailybaev Brazil 19 266 0.3× 1.2k 1.9× 85 0.2× 118 0.3× 137 0.6× 94 2.4k
Roman O. Grigoriev United States 19 492 0.6× 391 0.7× 413 0.9× 176 0.5× 21 0.1× 62 1.3k
Lawrence E. Levine United States 5 357 0.4× 266 0.4× 111 0.2× 124 0.4× 60 0.3× 15 1.4k
Edward L. Reiss United States 23 311 0.4× 184 0.3× 219 0.5× 105 0.3× 145 0.6× 99 1.8k
Darren Crowdy United Kingdom 28 1.4k 1.7× 382 0.6× 51 0.1× 211 0.6× 133 0.6× 179 2.8k
Stefan J. Linz Germany 17 285 0.3× 513 0.9× 321 0.7× 117 0.3× 9 0.0× 41 955
Reinhard Illner Canada 20 726 0.9× 468 0.8× 40 0.1× 61 0.2× 196 0.9× 87 2.1k

Countries citing papers authored by E. J. Ding

Since Specialization
Citations

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

Fields of papers citing papers by E. J. Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. J. Ding

This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Ding. A scholar is included among the top collaborators of E. J. Ding 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 E. J. Ding. E. J. Ding 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
2.
Ding, E. J.. (2015). Time-independent lattice Boltzmann method calculation of hydrodynamic interactions between two particles. Physical Review E. 91(6). 63308–63308. 3 indexed citations
3.
Ding, E. J.. (2014). Calculation of drag and torque coefficients by time-independent lattice-Boltzmann method. Physical Review E. 90(3). 33313–33313. 3 indexed citations
4.
Ding, E. J. & Cyrus K. Aidun. (2006). Cluster Size Distribution and Scaling for Spherical Particles and Red Blood Cells in Pressure-Driven Flows at Small Reynolds Number. Physical Review Letters. 96(20). 204502–204502. 21 indexed citations
5.
Ding, E. J. & Cyrus K. Aidun. (2003). Direct numerical simulation of flow of red blood cells with a rigid membrane. APS. 56. 1 indexed citations
6.
Aidun, Cyrus K. & E. J. Ding. (2003). Dynamics of particle sedimentation in a vertical channel: Period-doubling bifurcation and chaotic state. Physics of Fluids. 15(6). 1612–1621. 41 indexed citations
7.
Ding, E. J. & Cyrus K. Aidun. (2003). Extension of the Lattice-Boltzmann Method for Direct Simulation of Suspended Particles Near Contact. Journal of Statistical Physics. 112(3-4). 685–708. 98 indexed citations
8.
Ding, E. J. & Cyrus K. Aidun. (2000). The dynamics and scaling law for particles suspended in shear flow with inertia. Journal of Fluid Mechanics. 423. 317–344. 138 indexed citations
9.
Zhang, Shudong, Huang Zu-Qia, & E. J. Ding. (1996). Predictions of large events on a spring-block model. Journal of Physics A Mathematical and General. 29(15). 4445–4455. 1 indexed citations
10.
Yang, Hongliu, et al.. (1996). Stabilization of the less stable orbit by a tiny near-resonance periodic signal. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 54(6). R5889–R5892. 6 indexed citations
11.
Zhang, Shudong & E. J. Ding. (1995). Numerical simulations of burst processes in fibre bundles. Journal of Physics A Mathematical and General. 28(15). 4323–4338. 7 indexed citations
12.
Ding, E. J., et al.. (1993). Two-dimensional sandpile model with stochastic slide. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 48(4). 2413–2417. 4 indexed citations
13.
Lu, Yu & E. J. Ding. (1992). Scaling relation in the burst process of fibre bundles. Journal of Physics A Mathematical and General. 25(5). L241–L244. 6 indexed citations
14.
Ding, E. J.. (1991). Does the longer-range wall potential in generalized Sullivan models favour a first-order wetting transition?. Journal of Physics Condensed Matter. 3(9). 1197–1205. 3 indexed citations
15.
Ding, E. J. & E. H. Hauge. (1987). The dynamics approach to the wetting transition with short range forces. Physica A Statistical Mechanics and its Applications. 143(1-2). 54–86. 6 indexed citations
16.
Ding, E. J., et al.. (1986). Theory and applications of the Boltzmann equation. Progress in physics. 6(3). 300–352. 103 indexed citations
17.
Ding, E. J., et al.. (1986). On the normal solutions of the Boltzmann equation with small Knudsen number. Journal of Statistical Physics. 45(3-4). 561–588. 1 indexed citations
18.
Ding, E. J.. (1986). Analytic treatment of periodic orbit systematics for a nonlinear driven oscillator. Physical review. A, General physics. 34(4). 3547–3550. 16 indexed citations
19.
Ding, E. J., et al.. (1985). ON THE SINGULAR PERTURBATION SOLUTION OF BOLTZMANN EQUATION (Ⅱ) "INITIAL LAYER" SOLUTION. Acta Physica Sinica. 34(1). 77–77. 1 indexed citations
20.
Ding, E. J., et al.. (1984). A KIND OF SINGULAR PERTURBATION METHOD FOR SOLVING THE BOLTZMANN EQUATION WITH SMALL KNUDSEN NUMBER. Acta Physica Sinica. 33(5). 722–722. 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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