Chaoming Song
- Statistical and Nonlinear Physics top 0.1%
- Transportation top 0.05%
- Computer Networks and Communications top 1%
- Molecular Biology top 10%
- Economics and Econometrics top 1%
- Co-authors
- Albert-Ĺaszló BarabásiHernán A. MakseShlomo HavlinNicholas BlummDashun WangPing WangPu WangTal Koren
- Topics
- Complex Network Analysis Techniques (33 papers)Opinion Dynamics and Social Influence (25 papers)Material Dynamics and Properties (17 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Chaoming Song
71 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Statistical and Nonlinear Physics 3.2k
- Transportation 3.0k
- Computer Networks and Communications 1.1k
- Molecular Biology 802
- Economics and Econometrics 771
Countries citing papers authored by Chaoming Song
This map shows the geographic impact of Chaoming Song'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 Chaoming Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoming Song more than expected).
Fields of papers citing papers by Chaoming Song
This network shows the impact of papers produced by Chaoming Song. 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 Chaoming Song. The network helps show where Chaoming Song may publish in the future.
Co-authorship network of co-authors of Chaoming Song
This figure shows the co-authorship network connecting the top 25 collaborators of Chaoming Song. A scholar is included among the top collaborators of Chaoming Song 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 Chaoming Song. Chaoming Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 49 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 49 | |
| 11 | Information Spreading in Context | 4 |
| 12 | 25 | |
| 13 | Limits of predictability in human mobility | 12 |
| 14 | Modelling the scaling properties of human mobilitybreakdown → | 912 |
| 15 | 16 | |
| 16 | Precise transformation of Feistel to SP fuse into LFSR | 0 |
| 17 | A phase diagram for jammed matter reveals the nature of the random loose and random close packing of spheres | 1 |
| 18 | Jamming IV: Distribution of volumes and coordination number in jammed matter: mesoscopic ensemble | 1 |
| 19 | 36 | |
| 20 | Fractal growth of complex networks: repulsion between hubs | 2 |
About Chaoming Song
Chaoming Song is a scholar working on Statistical and Nonlinear Physics, Transportation and Acoustics and Ultrasonics, having authored 74 papers that have together received 9.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (33 papers), Opinion Dynamics and Social Influence (25 papers) and Material Dynamics and Properties (17 papers). The work is most often cited by research in Transportation (3.0k citations), Statistical and Nonlinear Physics (3.2k citations) and Statistics, Probability and Uncertainty (630 citations). Chaoming Song has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Albert-Ĺaszló Barabási, Hernán A. Makse, Shlomo Havlin, Nicholas Blumm, Dashun Wang, Ping Wang, Pu Wang, Tal Koren, Lazaros K. Gallos and Roberta Sinatra. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.