Paul Weng

1.3k total citations
31 papers, 405 citations indexed

About

Paul Weng is a scholar working on Artificial Intelligence, Computer Networks and Communications and Numerical Analysis. According to data from OpenAlex, Paul Weng has authored 31 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Numerical Analysis. Recurrent topics in Paul Weng's work include Reinforcement Learning in Robotics (9 papers), Differential Equations and Numerical Methods (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Paul Weng is often cited by papers focused on Reinforcement Learning in Robotics (9 papers), Differential Equations and Numerical Methods (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Paul Weng collaborates with scholars based in China, United States and France. Paul Weng's co-authors include Qitian Wu, Guihai Chen, Xiaofeng Gao, Jian Wu, M. Hadi Amini, Róbert Busa‐Fekete, Orkun Karabaşoğlu, Balázs Szörényi, Yinliang Xu and Paul McNamara and has published in prestigious journals such as Acta Materialia, International Journal of Production Research and Machine Learning.

In The Last Decade

Paul Weng

27 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Weng China 10 128 89 67 59 48 31 405
Franca Rinaldi Italy 10 38 0.3× 22 0.2× 112 1.7× 84 1.4× 2 0.0× 24 421
Ashish R. Hota India 11 53 0.4× 58 0.7× 36 0.5× 9 0.2× 43 439
Wentao Wang China 14 14 0.1× 113 1.3× 172 2.6× 20 0.3× 6 0.1× 61 483
Hongwei Kang China 14 39 0.3× 128 1.4× 29 0.4× 40 0.7× 59 460
Xingping Sun China 13 30 0.2× 127 1.4× 28 0.4× 40 0.7× 52 429
Malek Alrashidi Saudi Arabia 11 8 0.1× 86 1.0× 54 0.8× 22 0.4× 2 0.0× 34 302
Jianbin Sun China 11 9 0.1× 137 1.5× 22 0.3× 8 0.1× 37 332
Santiago Gil Denmark 11 9 0.1× 73 0.8× 351 5.2× 85 1.4× 22 663

Countries citing papers authored by Paul Weng

Since Specialization
Citations

This map shows the geographic impact of Paul Weng'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 Paul Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Weng more than expected).

Fields of papers citing papers by Paul Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Weng. 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 Paul Weng. The network helps show where Paul Weng may publish in the future.

Co-authorship network of co-authors of Paul Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Weng. A scholar is included among the top collaborators of Paul Weng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul Weng. Paul Weng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Weng, Paul, et al.. (2025). From fair solutions to compromise solutions in multi-objective deep reinforcement learning. Neural Computing and Applications. 37(23). 18867–18897.
2.
Feng, Xuening, et al.. (2025). DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback. Proceedings of the AAAI Conference on Artificial Intelligence. 39(16). 16604–16612.
3.
Wang, Yisen, et al.. (2024). Generalization in Deep RL for TSP Problems via Equivariance and Local Search. SN Computer Science. 5(4). 1 indexed citations
4.
Weng, Paul, et al.. (2024). A survey on interpretable reinforcement learning. Machine Learning. 113(8). 5847–5890. 26 indexed citations
5.
Wang, Yaowei, Qingli Tang, Paul Weng, et al.. (2023). Accelerated discovery of magnesium intermetallic compounds with sluggish corrosion cathodic reactions through active learning and DFT calculations. Acta Materialia. 255. 119063–119063. 20 indexed citations
6.
Rojas, Juan, et al.. (2021). Hyperparameter Auto-Tuning in Self-Supervised Robotic Learning. IEEE Robotics and Automation Letters. 6(2). 3537–3544. 8 indexed citations
7.
Bai, Ruibin, Xinan Chen, Zhi‐Long Chen, et al.. (2021). Analytics and machine learning in vehicle routing research. International Journal of Production Research. 61(1). 4–30. 71 indexed citations
8.
Weng, Paul, et al.. (2020). Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards. arXiv (Cornell University). 1. 8905–8915. 3 indexed citations
9.
Weng, Paul, et al.. (2018). Optimal Threshold Policies for Robust Data Center Control. Journal of Shanghai Jiaotong University (Science). 23(1). 52–60. 1 indexed citations
10.
Busa‐Fekete, Róbert, Balázs Szörényi, Paul Weng, & Shie Mannor. (2017). Multi-objective Bandits: Optimizing the Generalized Gini Index. International Conference on Machine Learning. 625–634. 6 indexed citations
11.
Amini, M. Hadi, Paul McNamara, Paul Weng, Orkun Karabaşoğlu, & Yinliang Xu. (2017). Hierarchical Electric Vehicle Charging Aggregator Strategy Using Dantzig-Wolfe Decomposition. IEEE Design and Test. 35(6). 25–36. 28 indexed citations
12.
Weng, Paul, et al.. (2017). Optimizing Quantiles in Preference-Based Markov Decision Processes. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 1 indexed citations
13.
Weng, Paul & Olivier Spanjaard. (2017). Functional Reward Markov Decision Processes: Theory and Applications. International Journal of Artificial Intelligence Tools. 26(3). 1760014–1760014.
14.
Ogryczak, Włodzimierz, Patrice Perny, & Paul Weng. (2013). A COMPROMISE PROGRAMMING APPROACH TO MULTIOBJECTIVE MARKOV DECISION PROCESSES. International Journal of Information Technology & Decision Making. 12(5). 1021–1053. 7 indexed citations
15.
Weng, Paul, et al.. (2013). Asymptotic stability of diffusive predator-prey model with modified Leslie-Gower and Holling-type II schemes and nonlocal time delays. IMA Journal of Mathematical Control and Information. 31(1). 1–14. 2 indexed citations
16.
Ogryczak, Włodzimierz, et al.. (2011). A COMPROMISE PROGRAMMING APPROACH TO MULTIOBJECTIVE MARKOV DECISION PROCESSES. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
17.
Weng, Paul. (2006). Processus de décision markoviens et préférences non classiques. Revue d intelligence artificielle. 20(2-3). 411–432.
18.
Weng, Paul. (2003). Asymptotic speed of propagation of wave fronts in a lattice delay differential equation with global interaction. IMA Journal of Applied Mathematics. 68(4). 409–439. 104 indexed citations
19.
Weng, Paul, et al.. (1998). Existence of positive solutions for boundary value problem of second-order functional differential equation. Electronic journal of qualitative theory of differential equations. 1–13. 4 indexed citations
20.
Staats, Henk, et al.. (1992). Determinants of Environmental Preference: an Empirical, Comparative Study of Two Theories. 1 indexed citations

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.

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