Cong Wang
Impact in
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- High-pressure geophysics and materials
- Marketing top 10%
Papers in
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- Recommender Systems and Techniques 5
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- Sentiment Analysis and Opinion Mining 4
- Co-authors
- Dafang Li (4 shared papers)Jun Yan (2 shared papers)Zhen‐Guo Fu (1 shared paper)Ping Zhang (1 shared paper)Guoqing Chen (6 shared papers)Yuanyuan Hao (3 shared papers)X. T. He (5 shared papers)Qiang Wei (4 shared papers)
- Journals
- Physics of Plasmas (4 papers)INFORMS journal on computing (3 papers)Scientific Reports (3 papers)PLoS ONE (3 papers)ACS Medicinal Chemistry Letters (2 papers)
- Partner nations
- ChinaUnited StatesUkraine
In The Last Decade
Cong Wang
75 papers receiving 1.3k citations
Cong Wang's Hit Papers
Peers
Comparison fields: 5 of 191
- Geophysics 75
- Marketing 44
- Electronic, Optical and Magnetic Materials 80
- Materials Chemistry 197
- Renewable Energy, Sustainability and the Environment 68
Countries citing papers authored by Cong Wang
This map shows the geographic impact of Cong 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 Cong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Wang more than expected).
Fields of papers citing papers by Cong Wang
This network shows the impact of papers produced by Cong 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 Cong Wang. The network helps show where Cong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural and transport properties of ammonia along the principal Hugoniot Hit paper breakdown → | 2017 | 694 |
| 2 | 2020 | 46 | |
| 3 | 2015 | 40 | |
| 4 | 2022 | 37 | |
| 5 | 2015 | 35 | |
| 6 | 2021 | 30 | |
| 7 | 2021 | 28 | |
| 8 | 2020 | 24 | |
| 9 | 2014 | 23 | |
| 10 | 2018 | 23 | |
| 11 | 2019 | 21 | |
| 12 | 2013 | 19 | |
| 13 | 2016 | 19 | |
| 14 | 2017 | 19 | |
| 15 | 2020 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2017 | 13 |
About Cong Wang
Cong Wang is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Geophysics and Economics and Econometrics, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include High-pressure geophysics and materials (12 papers), Recommender Systems and Techniques (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Consumer Market Behavior and Pricing (4 papers), Advanced Chemical Physics Studies (4 papers), Multi-Criteria Decision Making (3 papers), Energy, Environment, Economic Growth (3 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). The work is most often cited by research in Geophysics (75 citations), Marketing (44 citations), Electronic, Optical and Magnetic Materials (80 citations), Materials Chemistry (197 citations) and Renewable Energy, Sustainability and the Environment (68 citations). Cong Wang has collaborated with scholars based in China, United States and Ukraine. Frequent co-authors include Dafang Li, Jun Yan, Zhen‐Guo Fu, Ping Zhang, Guoqing Chen, Yuanyuan Hao, X. T. He, Qiang Wei, Ping Zhang and Nan Zhang. Their work appears in journals such as Physics of Plasmas, INFORMS journal on computing, Scientific Reports, PLoS ONE and ACS Medicinal Chemistry Letters.
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.