H. Wang
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Geometry and Topology top 5%
- Graph theory and applications
Papers in
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- Complex Network Analysis Techniques 9
- Opinion Dynamics and Social Influence 5
-
- Graph theory and applications 7
- Co-authors
- Piet Van Mieghem (11 shared papers)Xin Ge (2 shared papers)Siyu Tang (1 shared paper)Fernando Kuipers (1 shared paper)Cornelis J. Stam (2 shared papers)Willem de Haan (1 shared paper)Chengqian Li (1 shared paper)Gregorio D’Agostino (1 shared paper)
- Journals
- The European Physical Journal B (4 papers)Nature Communications (1 paper)Advances in Complex Systems (1 paper)Chaos Solitons & Fractals (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)
- Partner nations
- NetherlandsChinaItaly
In The Last Decade
H. Wang
19 papers receiving 360 citations
Peers
Comparison fields: 5 of 68
- Statistical and Nonlinear Physics 226
- Geometry and Topology 75
- Modeling and Simulation 15
- Cognitive Neuroscience 60
- Computational Theory and Mathematics 47
Countries citing papers authored by H. Wang
This map shows the geographic impact of H. Wang'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 H. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Wang more than expected).
Fields of papers citing papers by H. Wang
This network shows the impact of papers produced by H. Wang. 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 H. Wang. The network helps show where H. Wang may publish in the future.
Co-authors
The 21 scholars most cited alongside H. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 90 | |
| 2 | 2011 | 60 | |
| 3 | 2014 | 45 | |
| 4 | 2010 | 43 | |
| 5 | 2010 | 30 | |
| 6 | 2011 | 17 | |
| 7 | 2010 | 12 | |
| 8 | 2010 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2012 | 7 | |
| 14 | A qualitative comparison of power law generators | 2006 | 6 |
| 15 | 2011 | 5 | |
| 16 | 2020 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2025 | 1 | |
| 19 | Correlating the topology of a metabolic network with its growth capacity | 2010 | 1 |
About H. Wang
H. Wang is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Electrical and Electronic Engineering, Materials Chemistry and Computer Networks and Communications, having authored 19 papers that have together received 367 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Graph theory and applications (7 papers), Opinion Dynamics and Social Influence (5 papers), Graphene research and applications (4 papers), Advanced Memory and Neural Computing (3 papers), Neuroscience and Neural Engineering (2 papers), Advanced Graph Theory Research (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (226 citations), Geometry and Topology (75 citations), Modeling and Simulation (15 citations), Cognitive Neuroscience (60 citations) and Computational Theory and Mathematics (47 citations). H. Wang has collaborated with scholars based in Netherlands, China and Italy. Frequent co-authors include Piet Van Mieghem, Xin Ge, Siyu Tang, Fernando Kuipers, Cornelis J. Stam, Willem de Haan, Chengqian Li, Gregorio D’Agostino, Stojan Trajanovski and Phillip Schumm. Their work appears in journals such as The European Physical Journal B, Nature Communications, Advances in Complex Systems, Chaos Solitons & Fractals and Physica A Statistical Mechanics and its Applications.
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.