Heng Guo
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods 30
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- Limits and Structures in Graph Theory 4
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- Complexity and Algorithms in Graphs 13
- Advanced Graph Theory Research 11
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics 11
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- Bayesian Modeling and Causal Inference 6
- Quantum Computing Algorithms and Architecture 3
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- Theoretical and Computational Physics 4
- Co-authors
- Mark JerrumPinyan LuLeslie Ann GoldbergJin‐Yi CaiJing‐Cheng LiuLeslie G. ValiantYitong YinSangxia Huang
- Journals
- SHILAP Revista de lepidopterología (2 papers)Sustainability (1 paper)Journal of the ACM (2 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Heng Guo
46 papers receiving 297 citations
Peers
Comparison fields: 5 of 55
- Statistics and Probability 185
- Discrete Mathematics and Combinatorics 35
- Computational Mathematics 5
- Computational Theory and Mathematics 133
- Mathematical Physics 65
Countries citing papers authored by Heng Guo
This map shows the geographic impact of Heng Guo'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 Heng Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heng Guo more than expected).
Fields of papers citing papers by Heng Guo
This network shows the impact of papers produced by Heng Guo. 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 Heng Guo. The network helps show where Heng Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heng Guo, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 5 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 6 | |
| 10 | 2018 | 2 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 10 | |
| 14 | 2017 | 5 | |
| 15 | 2017 | 29 | |
| 16 | 2016 | 2 | |
| 17 | 2016 | 6 | |
| 18 | 2015 | 13 | |
| 19 | The complexity of approximating complex-valued Ising and Tutte partition functions with applications to quantum simulation. | 2014 | 2 |
| 20 | Approximating the Partition Function of Two-Spin Systems on Bipartite Graphs. | 2013 | 1 |
About Heng Guo
Heng Guo is a scholar working on Statistics and Probability, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 49 papers that have together received 311 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (30 papers), Complexity and Algorithms in Graphs (13 papers), Stochastic processes and statistical mechanics (11 papers), Advanced Graph Theory Research (11 papers), Bayesian Modeling and Causal Inference (6 papers), Limits and Structures in Graph Theory (4 papers), Theoretical and Computational Physics (4 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Statistics and Probability (185 citations), Discrete Mathematics and Combinatorics (35 citations) and Computational Mathematics (5 citations). Heng Guo has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Mark Jerrum, Pinyan Lu, Leslie Ann Goldberg, Jin‐Yi Cai, Jing‐Cheng Liu, Leslie G. Valiant, Yitong Yin, Sangxia Huang, Andreas Galanis and Weiming Feng. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Journal of the ACM.
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.