Pengming Wang
Impact in
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- Polynomial and algebraic computation
- Numerical Methods and Algorithms
Papers in
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- Topic Modeling 2
- Artificial Intelligence in Games 1
- Artificial Intelligence Applications 1
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- Advanced Graph Theory Research 3
- Complexity and Algorithms in Graphs 3
- Numerical Methods and Algorithms 2
- Polynomial and algebraic computation 2
- Formal Methods in Verification 2
- Co-authors
- Alexander Novikov (1 shared paper)Pushmeet Kohli (1 shared paper)Jordan S. Ellenberg (1 shared paper)Manish Kumar (1 shared paper)Francisco J. R. Ruiz (1 shared paper)Alhussein Fawzi (1 shared paper)Mohammadamin Barekatain (1 shared paper)Emilien Dupont (1 shared paper)
- Journals
- Applied Intelligence (1 paper)Molecular & cellular biomechanics (1 paper)Brain and Behavior (1 paper)Tsinghua Science & Technology (1 paper)Symmetry (1 paper)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Pengming Wang
15 papers receiving 204 citations
Pengming Wang's Hit Papers
Peers
Comparison fields: 5 of 75
- Computational Theory and Mathematics 43
- Health Informatics 3
- Artificial Intelligence 69
- Computational Mathematics 1
- Industrial and Manufacturing Engineering 14
Countries citing papers authored by Pengming Wang
This map shows the geographic impact of Pengming 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 Pengming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengming Wang more than expected).
Fields of papers citing papers by Pengming Wang
This network shows the impact of papers produced by Pengming 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 Pengming Wang. The network helps show where Pengming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pengming 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 | Mathematical discoveries from program search with large language models Hit paper breakdown → | 2023 | 145 |
| 2 | 2014 | 19 | |
| 3 | 2021 | 13 | |
| 4 | 2021 | 6 | |
| 5 | 2013 | 6 | |
| 6 | 2017 | 5 | |
| 7 | 2017 | 3 | |
| 8 | 2017 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 2 | |
| 11 | The digitalization of industrial design | 2002 | 1 |
| 12 | 2024 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2024 | 0 |
About Pengming Wang
Pengming Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 17 papers that have together received 209 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (3 papers), Complexity and Algorithms in Graphs (3 papers), Numerical Methods and Algorithms (2 papers), Topic Modeling (2 papers), Polynomial and algebraic computation (2 papers), Formal Methods in Verification (2 papers), Artificial Intelligence in Games (1 paper) and Artificial Intelligence Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (43 citations), Health Informatics (3 citations), Artificial Intelligence (69 citations), Computational Mathematics (1 citation) and Industrial and Manufacturing Engineering (14 citations). Pengming Wang has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Alexander Novikov, Pushmeet Kohli, Jordan S. Ellenberg, Manish Kumar, Francisco J. R. Ruiz, Alhussein Fawzi, Mohammadamin Barekatain, Emilien Dupont, Matej Balog and Omar Fawzi. Their work appears in journals such as Applied Intelligence, Molecular & cellular biomechanics, Brain and Behavior, Tsinghua Science & Technology and Symmetry.
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.