Kehao Tao

468 total citations
21 papers, 315 citations indexed

About

Kehao Tao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Kehao Tao has authored 21 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 4 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Kehao Tao's work include Advanced Battery Materials and Technologies (12 papers), Advancements in Battery Materials (12 papers) and Machine Learning in Materials Science (8 papers). Kehao Tao is often cited by papers focused on Advanced Battery Materials and Technologies (12 papers), Advancements in Battery Materials (12 papers) and Machine Learning in Materials Science (8 papers). Kehao Tao collaborates with scholars based in China, United States and Poland. Kehao Tao's co-authors include Jinjin Li, Zhilong Wang, Yanqiang Han, An Chen, Jinyun Liu, An Chen, Lei Shi, Huiqing Lu, Lu Li and Xitian Zhang and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Kehao Tao

21 papers receiving 301 citations

Peers

Kehao Tao

EEE

RESE

Adarsh Dave United States

Jared Mitchell United States

Kihoon Bang South Korea

Guanjian Cheng China

Fabian Årén Sweden

Chenyu Liu China

Christian Wölke Germany

Adeleke Maradesa Hong Kong

Rasha Atwi United States

Yuming Chen China

Adarsh Dave United States

Kehao Tao

202 ×1.0

EEE

141 ×0.9

116 ×2.1

17 ×0.6

24 ×0.9

RESE

Citations per year, relative to Kehao Tao Kehao Tao (= 1×) peers Adarsh Dave

Countries citing papers authored by Kehao Tao

Since Specialization

Citations

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

Fields of papers citing papers by Kehao Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kehao Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Kehao Tao. A scholar is included among the top collaborators of Kehao Tao 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 Kehao Tao. Kehao Tao 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

Tao, Kehao, Wei He, An Chen, Yanqiang Han, & Jinjin Li. (2025). Harnessing lateral transfer learning for pioneering solid electrolyte interphase innovation. Energy storage materials. 75. 104034–104034. 5 indexed citations

Chen, An, Liang Song, Linlin Wang, et al.. (2025). Machine Learning for Design and Full Chain Research of High‐Entropy Na‐Ion Cathodes. Advanced Materials. 37(44). e08717–e08717. 3 indexed citations

Lao, Zhoujie, Kehao Tao, Xiao Xiao, et al.. (2025). Data-driven exploration of weak coordination microenvironment in solid-state electrolyte for safe and energy-dense batteries. Nature Communications. 16(1). 1075–1075. 13 indexed citations

Jia, Yeyang, Zhilong Wang, Zhiyuan Han, et al.. (2025). Variable and intelligent catalyst design based on local chemical environments in sulfur redox reactions. Joule. 9(5). 101878–101878. 15 indexed citations

Liu, Jinyun, Hui Zhang, Kehao Tao, et al.. (2025). Engineering iron sulfide/carbon co-coated silicon nanoparticles as a lithium-ion battery anode displaying stable capacity and rate-performance. Chemical Communications. 61(41). 7438–7441. 1 indexed citations

Wang, Zhilong, Kehao Tao, An Chen, et al.. (2024). Interpretable Surrogate Learning for Electronic Material Generation. ACS Nano. 18(49). 33587–33601. 4 indexed citations

Tao, Kehao, Zhilong Wang, An Chen, et al.. (2024). Unlocking Potential of Pyrochlore in Energy Systems via Soft Voting Ensemble Learning. Small. 20(42). e2402756–e2402756. 2 indexed citations

Han, Tianli, Yan Wang, Kehao Tao, et al.. (2024). SnS₂ quantum dots-coated VO₂@carbon nanorods for secondary battery displaying high capacity and rate-performance. Chemical Communications. 60(29). 3918–3921. 2 indexed citations

Zhang, Hui, Kehao Tao, Xiangbing Zeng, et al.. (2024). Rationally engineering a binary SnS_0.5Se_0.5/carbon nest-coated Si nanosphere for a high-performance lithium-ion battery anode. Chemical Science. 15(38). 15769–15775. 3 indexed citations

10.

Nowak, Andrzej P., Anna Rokicińska, Zhilong Wang, et al.. (2024). Experimental and computational analysis of SnSx encapsulated into carbonized chitosan as electrode material for potassium ion batteries. Scientific Reports. 14(1). 31212–31212. 1 indexed citations

11.

Han, Zhiyuan, An Chen, Zejian Li, et al.. (2024). Machine learning-based design of electrocatalytic materials towards high-energy lithium||sulfur batteries development. Nature Communications. 15(1). 8433–8433. 39 indexed citations

12.

Xu, Jing, Kehao Tao, Yajun Zhu, et al.. (2024). Graphene quantum dot-modified Co₃O₄/NiCo₂O₄ yolk–shell polyhedrons as a polysulfide-adsorptive sulfur host for lithium–sulfur batteries. Chemical Communications. 61(11). 2345–2348. 7 indexed citations

13.

Tao, Kehao, Zhilong Wang, Zhoujie Lao, et al.. (2024). Transformer enables ion transport behavior evolution and conductivity regulation for solid electrolyte. Energy storage materials. 71. 103555–103555. 6 indexed citations

14.

Tu, Hongwei, Yanqiang Han, Zhilong Wang, et al.. (2023). RotNet: A Rotationally Invariant Graph Neural Network for Quantum Mechanical Calculations. Small Methods. 8(1). e2300534–e2300534. 3 indexed citations

15.

Wang, Zhilong, et al.. (2023). IonML: A physically inspired machine learning platform to directed design superionic conductors. Energy storage materials. 59. 102781–102781. 15 indexed citations

16.

Wang, Zhilong, An Chen, Kehao Tao, Yanqiang Han, & Jinjin Li. (2023). MatGPT: A Vane of Materials Informatics from Past, Present, to Future. Advanced Materials. 36(6). e2306733–e2306733. 50 indexed citations

17.

Wang, Zhilong, An Chen, Kehao Tao, et al.. (2023). AlphaMat: a material informatics hub connecting data, features, models and applications. npj Computational Materials. 9(1). 33 indexed citations

18.

Tao, Kehao, et al.. (2023). A Pyramidal Metal–Organic Frameworks‐Derived FeP@CoP Aluminium‐Ion Battery Cathode Displaying Low‐Temperature Tolerance and Fast Electron Transfer Kinetics. Chemistry - A European Journal. 29(41). e202301127–e202301127. 3 indexed citations

19.

Huang, Xiaofei, Kehao Tao, Tianli Han, et al.. (2023). Long‐Cycling‐Life Sodium‐Ion Battery Using Binary Metal Sulfide Hybrid Nanocages as Anode. Small. 19(39). e2302706–e2302706. 33 indexed citations

20.

Tao, Kehao, Zhilong Wang, Yanqiang Han, & Jinjin Li. (2022). Rapid discovery of inorganic-organic solid composite electrolytes by unsupervised learning. Chemical Engineering Journal. 454. 140151–140151. 21 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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