Jian Peng
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 10
- Ecology top 2%
- Remote Sensing in Agriculture 7
- Environmental Engineering top 2%
- Artificial Intelligence top 1%
- Reinforcement Learning in Robotics 11
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- Bioinformatics and Genomic Networks 15
- Protein Structure and Dynamics 9
- Machine Learning in Bioinformatics 8
- Gene expression and cancer classification 7
- Genomics and Phylogenetic Studies 6
- Co-authors
- Yunan LuoKaiyu GuanBonnie BergerYaping CaiHyunghoon ChoShaowen WangJianyang ZengWenhua Kuang
- Partner nations
- United StatesChinaBulgaria
In The Last Decade
Jian Peng
88 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Computational Theory and Mathematics 833
- Ecology 929
- Environmental Engineering 459
- Computer Science Applications 166
- Artificial Intelligence 876
Countries citing papers authored by Jian Peng
This map shows the geographic impact of Jian Peng'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 Jian Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Peng more than expected).
Fields of papers citing papers by Jian Peng
This network shows the impact of papers produced by Jian Peng. 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 Jian Peng. The network helps show where Jian Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jian Peng, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 35 | |
| 7 | 2021 | 81 | |
| 8 | Learning Belief Representations for Imitation Learning in POMDPs | 2019 | 2 |
| 9 | Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization | 2019 | 6 |
| 10 | 2018 | 18 | |
| 11 | 2018 | 21 | |
| 12 | Learning to Explore via Meta-Policy Gradient | 2018 | 10 |
| 13 | Action-dependent Control Variates for Policy Optimization via Stein Identity | 2018 | 10 |
| 14 | Stein variational policy gradient | 2017 | 4 |
| 15 | A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information. | 2017 | 1 |
| 16 | Genetic Policy Optimization. | 2017 | 4 |
| 17 | 2013 | 31 | |
| 18 | Estimating the partition function of graphical models using Langevin importance sampling | 2013 | 6 |
| 19 | Tightening fractional covering upper bounds on the partition function for high-order region graphs | 2012 | 2 |
| 20 | Approximate inference by intersecting semidefinite bound and local polytope | 2012 | 4 |
About Jian Peng
Jian Peng is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Biophysics, having authored 97 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Reinforcement Learning in Robotics (11 papers), Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (9 papers), Machine Learning in Bioinformatics (8 papers), Remote Sensing in Agriculture (7 papers), Gene expression and cancer classification (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Computational Theory and Mathematics (833 citations), Ecology (929 citations) and Environmental Engineering (459 citations). Jian Peng has collaborated with scholars based in United States, China and Bulgaria. Frequent co-authors include Yunan Luo, Kaiyu Guan, Bonnie Berger, Yaping Cai, Hyunghoon Cho, Shaowen Wang, Jianyang Zeng, Wenhua Kuang, Xinbin Zhao and Yanqing Zhang. Their work appears in journals such as Nature, Cell 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.