Pan Xu

6.1k total citations · 2 hit papers
99 papers, 3.9k citations indexed

About

Pan Xu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Pan Xu has authored 99 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 17 papers in Artificial Intelligence and 17 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Pan Xu's work include Advanced Battery Materials and Technologies (39 papers), Advancements in Battery Materials (39 papers) and Advanced battery technologies research (25 papers). Pan Xu is often cited by papers focused on Advanced Battery Materials and Technologies (39 papers), Advancements in Battery Materials (39 papers) and Advanced battery technologies research (25 papers). Pan Xu collaborates with scholars based in China, United States and Canada. Pan Xu's co-authors include Zhongwei Chen, Quanfeng Dong, Ali Ghorbani Kashkooli, Mingsen Zheng, Zachary P. Cano, Gaopeng Jiang, Aiping Yu, Jinping Liu, Ruming Yuan and Moon Gyu Park and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Pan Xu

93 papers receiving 3.9k citations

Hit Papers

Single-dispersed polyoxometalate clusters embedded on mul... 2022 2026 2023 2024 2022 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Xu China 34 3.2k 1.3k 957 819 518 99 3.9k
Xiaoyan Liu China 32 2.7k 0.8× 802 0.6× 1.0k 1.1× 1.2k 1.5× 792 1.5× 77 3.6k
Jinqiu Zhou China 36 3.7k 1.2× 876 0.7× 826 0.9× 771 0.9× 1.3k 2.6× 92 4.5k
Xiaofei Hu China 36 4.2k 1.3× 767 0.6× 920 1.0× 1.6k 2.0× 631 1.2× 139 5.2k
Wenyue Li China 34 2.8k 0.9× 938 0.7× 1.8k 1.9× 793 1.0× 502 1.0× 97 3.9k
Chen Cheng China 36 3.1k 1.0× 798 0.6× 642 0.7× 724 0.9× 665 1.3× 80 3.9k
Soorathep Kheawhom Thailand 41 3.7k 1.2× 1.3k 1.0× 1.6k 1.6× 1.1k 1.3× 722 1.4× 261 5.1k
Yuhui Tian China 33 2.2k 0.7× 1.8k 1.4× 596 0.6× 895 1.1× 160 0.3× 52 3.1k
Liqun Sun China 35 3.2k 1.0× 794 0.6× 559 0.6× 1.5k 1.8× 1.1k 2.1× 93 4.5k
Heng Zhang China 30 2.1k 0.7× 426 0.3× 695 0.7× 683 0.8× 593 1.1× 130 2.9k
Qing Zhang China 31 2.3k 0.7× 438 0.3× 652 0.7× 686 0.8× 590 1.1× 115 3.1k

Countries citing papers authored by Pan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Pan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Xu. A scholar is included among the top collaborators of Pan Xu 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 Pan Xu. Pan Xu 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
2.
Xiao, Hong, Yijuan Li, Ruiqi Chen, et al.. (2023). Integrative design of laser-induced graphene array with lithiophilic MnOx nanoparticles enables superior lithium metal batteries. SHILAP Revista de lepidopterología. 3(5). 100134–100134. 77 indexed citations
3.
Li, Xin, Pan Xu, Xiaodong Lin, et al.. (2023). Regulating SEI Components of Sodium Anode via Capturing Organic–Molecule Intermediates in Ester‐Based Electrolyte. Small Methods. 7(10). e2300388–e2300388. 4 indexed citations
4.
Xu, Pan, et al.. (2022). PID Control of a Superheated Steam Temperature System Based on Integral Gain Scheduling. Energies. 15(23). 8978–8978. 3 indexed citations
5.
Dong, Jianing, Zhengxin Qian, Pan Xu, et al.. (2022). In situ Raman spectroscopy reveals the structure evolution and lattice oxygen reaction pathway induced by the crystalline–amorphous heterojunction for water oxidation. Chemical Science. 13(19). 5639–5649. 49 indexed citations
6.
Xu, Pan, Xinyu Hu, Xiaoyu Liu, et al.. (2021). A Lithium-Metal Anode with Ultra-High Areal Capacity (50 mAh cm−2) by Gridding Lithium Plating/Stripping. Energy storage materials. 38. 190–199. 84 indexed citations
7.
Li, Yijuan, Pan Xu, Jirong Mou, et al.. (2021). Single Cobalt Atoms Decorated N‐doped Carbon Polyhedron Enabled Dendrite‐Free Sodium Metal Anode. Small Methods. 5(11). e2100833–e2100833. 42 indexed citations
8.
Tang, Jing, et al.. (2021). Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5065–5073. 5 indexed citations
9.
Zou, Difan, Pan Xu, & Quanquan Gu. (2019). Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction. Neural Information Processing Systems. 32. 3830–3841. 2 indexed citations
10.
Zhou, Dongruo, Pan Xu, & Quanquan Gu. (2019). Stochastic Variance-Reduced Cubic Regularization Methods. Journal of Machine Learning Research. 20(134). 1–47. 5 indexed citations
11.
Yu, Yaodong, Pan Xu, & Quanquan Gu. (2018). Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima. Neural Information Processing Systems. 31. 4525–4535. 1 indexed citations
12.
Zhou, Dongruo, Pan Xu, & Quanquan Gu. (2018). Stochastic Variance-Reduced Cubic Regularized Newton Methods. International Conference on Machine Learning. 5990–5999. 7 indexed citations
13.
Zou, Difan, Pan Xu, & Quanquan Gu. (2018). Subsampled Stochastic Variance-Reduced Gradient Langevin Dynamics.. Uncertainty in Artificial Intelligence. 508–518. 4 indexed citations
14.
Xu, Pan, Tianhao Wang, & Quanquan Gu. (2018). Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions. International Conference on Machine Learning. 5492–5501. 5 indexed citations
15.
Xu, Pan, Tianhao Wang, & Quanquan Gu. (2018). Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms.. International Conference on Artificial Intelligence and Statistics. 1087–1096. 2 indexed citations
16.
Zhou, Dongruo, Pan Xu, & Quanquan Gu. (2018). Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization.. Neural Information Processing Systems. 3925–3936. 11 indexed citations
17.
Xu, Pan, Jian Ma, & Quanquan Gu. (2017). Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization. Neural Information Processing Systems. 30. 1933–1944. 4 indexed citations
18.
Xu, Pan, et al.. (2017). Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference. International Conference on Machine Learning. 684–693. 3 indexed citations
19.
Xu, Pan, Tingting Zhang, & Quanquan Gu. (2017). Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent.. International Conference on Artificial Intelligence and Statistics. 923–932. 4 indexed citations
20.
Xu, Pan & Quanquan Gu. (2016). Semiparametric Differential Graph Models. Neural Information Processing Systems. 29. 1064–1072. 12 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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