Yanqiang Han

1.3k total citations
53 papers, 1.0k citations indexed

About

Yanqiang Han is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Physical and Theoretical Chemistry. According to data from OpenAlex, Yanqiang Han has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Materials Chemistry, 19 papers in Electrical and Electronic Engineering and 9 papers in Physical and Theoretical Chemistry. Recurrent topics in Yanqiang Han's work include Machine Learning in Materials Science (22 papers), Advanced Battery Materials and Technologies (11 papers) and Advancements in Battery Materials (10 papers). Yanqiang Han is often cited by papers focused on Machine Learning in Materials Science (22 papers), Advanced Battery Materials and Technologies (11 papers) and Advancements in Battery Materials (10 papers). Yanqiang Han collaborates with scholars based in China, United States and Poland. Yanqiang Han's co-authors include Jinjin Li, Zhilong Wang, Yanjun Dai, R.Z. Wang, Junfei Cai, An Chen, Sicheng Wu, Kehao Tao, Xiao He and Simin Ye and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yanqiang Han

53 papers receiving 1.0k citations

Peers

Countries citing papers authored by Yanqiang Han

Since Specialization

Citations

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

Fields of papers citing papers by Yanqiang Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqiang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yanqiang Han. A scholar is included among the top collaborators of Yanqiang Han 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 Yanqiang Han. Yanqiang Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Harnessing lateral transfer learning for pioneering solid electrolyte interphase innovation 2025 ·Energy storage materials ·Kehao Tao, Wei He, An Chen, Yanqiang Han, Jinjin Li	5
2	Decoding single-crystal lithium growth through solid electrolyte interphase omics 2025 ·Nature Communications ·Gongxun Lu, (unknown), Lei Shi, Zhilong Wang, Mengtian Zhang, Xinru Wu, Zhihong Piao, Xiao Xiao, Shengyu Tao, Jianwei Nai, Zhijin Ju, Xuan Zhang, Yanqiang Han, (unknown), H. Y. Fu, Jinjin Li, Xinyong Tao, Guangmin Zhou	2
3	Variable and intelligent catalyst design based on local chemical environments in sulfur redox reactions 2025 ·Joule ·Yeyang Jia, Zhilong Wang, Zhiyuan Han, Junfeng Li, Mengtian Zhang, Zhoujie Lao, Yanqiang Han, Runhua Gao, Jing Gao, Zhiyang Zheng, An Chen, Hong Li, Rui Mao, Kehao Tao, Jinjin Li, Guangmin Zhou	15
4	Interpretable Surrogate Learning for Electronic Material Generation 2024 ·ACS Nano ·Zhilong Wang, (unknown), Kehao Tao, An Chen, (unknown), Yanqiang Han, Fengqi You, Gang Liu, Jinjin Li	4
5	Unlocking Potential of Pyrochlore in Energy Systems via Soft Voting Ensemble Learning 2024 ·Small ·Kehao Tao, Zhilong Wang, An Chen, Yanqiang Han, Jinyun Liu, Xitian Zhang, Jinjin Li	2
6	Interpretable learning predicts miscarriage using pre-pregnancy serum metabolites 2024 ·(unknown), Zhilong Wang, Xianghong Xu, (unknown), Hao Fan, An Chen, (unknown), Wenxuan Li, Yanqiang Han, (unknown), (unknown), Zeying Liu, Zhiyun Wei, Jinjin Li, Liping Jin	2
7	RotNet: A Rotationally Invariant Graph Neural Network for Quantum Mechanical Calculations 2023 ·Small Methods ·Hongwei Tu, Yanqiang Han, Zhilong Wang, An Chen, Kehao Tao, Simin Ye, Shiwei Wang, Zhiyun Wei, Jinjin Li	3
8	IonML: A physically inspired machine learning platform to directed design superionic conductors 2023 ·Energy storage materials ·Zhilong Wang, (unknown), Kehao Tao, Yanqiang Han, An Chen, Jinjin Li	15
9	Machine-learning-assisted rational design of 2D doped tellurene for fin field-effect transistor devices 2023 ·Patterns ·An Chen, Simin Ye, Zhilong Wang, Yanqiang Han, Junfei Cai, Jinjin Li	9
10	MatGPT: A Vane of Materials Informatics from Past, Present, to Future 2023 ·Advanced Materials ·Zhilong Wang, An Chen, Kehao Tao, Yanqiang Han, Jinjin Li	50
11	A Data-Driven Platform for Two-Dimensional Hybrid Lead-Halide Perovskites 2023 ·ACS Nano ·An Chen, Zhilong Wang, Jing Gao, Yanqiang Han, Junfei Cai, Simin Ye, Jinjin Li	11
12	Single atom modified two-dimensional bismuthenes for toxic gas detection 2023 ·Physical Chemistry Chemical Physics ·An Chen, Yanqiang Han, Zhilong Wang, Junfei Cai, Simin Ye, Jinjin Li	14
13	AlphaMat: a material informatics hub connecting data, features, models and applications 2023 ·npj Computational Materials ·Zhilong Wang, An Chen, Kehao Tao, Junfei Cai, Yanqiang Han, Jing Gao, Simin Ye, Shiwei Wang, (unknown), Jinjin Li	33
14	Binding Affinity and Mechanisms of Potential Antidepressants Targeting Human NMDA Receptors 2023 ·Molecules ·Simin Ye, Yanqiang Han, Zhiyun Wei, Jinjin Li	4
15	Vision for energy material design: A roadmap for integrated data-driven modeling 2022 ·Journal of Energy Chemistry ·Zhilong Wang, Yanqiang Han, Junfei Cai, An Chen, Jinjin Li	20
16	Unraveling the Anchoring Effect of MXene-Supported Single Atoms as Cathodes for Aluminum–Sulfur Batteries 2022 ·ACS Materials Letters ·Zhilong Wang, Xiao Zheng, An Chen, Yanqiang Han, Liangming Wei, Jinjin Li	21
17	Accelerated Mining of 2D Van der Waals Heterojunctions by Integrating Supervised and Unsupervised Learning 2022 ·Chemistry of Materials ·An Chen, Zhilong Wang, Xu Zhang, Letian Chen, Hu Xu, Yanqiang Han, Junfei Cai, Zhen Zhou, Jinjin Li	16
18	An Ensemble Learning Platform for the Large-Scale Exploration of New Double Perovskites 2021 ·ACS Applied Materials & Interfaces ·Zhilong Wang, Yanqiang Han, Xirong Lin, Junfei Cai, Sicheng Wu, Jinjin Li	29
19	Ab initio determination of crystal stability of di-p-tolyl disulfide 2021 ·Scientific Reports ·(unknown), Jinfeng Liu, Imran Ali, Hongyuan Luo, Yanqiang Han, Wenxin Hu, Jinyun Liu, Xiao He, Jinjin Li	4
20	Ab Initio Prediction of the Phase Transition for Solid Ammonia at High Pressures 2020 ·Scientific Reports ·Lei Huang, Yanqiang Han, Jinyun Liu, Xiao He, Jinjin Li	11

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.

Explore authors with similar magnitude of impact