Zhilong Wang

3.7k total citations
155 papers, 2.8k citations indexed

About

Zhilong Wang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Zhilong Wang has authored 155 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Materials Chemistry, 48 papers in Electrical and Electronic Engineering and 29 papers in Molecular Biology. Recurrent topics in Zhilong Wang's work include Machine Learning in Materials Science (33 papers), Advanced Battery Materials and Technologies (20 papers) and Advancements in Battery Materials (19 papers). Zhilong Wang is often cited by papers focused on Machine Learning in Materials Science (33 papers), Advanced Battery Materials and Technologies (20 papers) and Advancements in Battery Materials (19 papers). Zhilong Wang collaborates with scholars based in China, United States and United Kingdom. Zhilong Wang's co-authors include Jinjin Li, Yanqiang Han, Junfei Cai, Haikuo Zhang, Sicheng Wu, Yiping Chen, Jiahao Ren, An Chen, Jinyun Liu and Kehao Tao and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Zhilong Wang

147 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhilong Wang China 34 908 891 578 299 217 155 2.8k
Tao Tao China 29 256 0.3× 814 0.9× 430 0.7× 240 0.8× 363 1.7× 194 3.1k
Jinming Shi China 23 381 0.4× 404 0.5× 375 0.6× 197 0.7× 137 0.6× 60 2.4k
Xinglin Li China 33 567 0.6× 413 0.5× 497 0.9× 450 1.5× 176 0.8× 178 3.6k
Saisai Wang China 31 725 0.8× 551 0.6× 538 0.9× 260 0.9× 65 0.3× 139 2.7k
Lan Yan China 33 454 0.5× 764 0.9× 349 0.6× 259 0.9× 79 0.4× 182 3.3k
Feng Liu China 35 1.3k 1.4× 1.2k 1.4× 702 1.2× 1.5k 5.1× 98 0.5× 208 4.4k
Huawei Liu China 29 676 0.7× 410 0.5× 582 1.0× 311 1.0× 99 0.5× 101 2.2k
Yuwei Wang China 32 237 0.3× 866 1.0× 219 0.4× 593 2.0× 400 1.8× 220 3.4k
Yibing Wang China 31 902 1.0× 482 0.5× 894 1.5× 626 2.1× 183 0.8× 149 4.0k
Kun Liu China 33 792 0.9× 668 0.7× 1.2k 2.2× 1.1k 3.7× 321 1.5× 248 4.6k

Countries citing papers authored by Zhilong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhilong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhilong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhilong Wang. A scholar is included among the top collaborators of Zhilong Wang 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 Zhilong Wang. Zhilong Wang 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.
Wang, Zhilong, Nahed H. Teleb, Mahmoud A.S. Sakr, et al.. (2025). Enhanced CO2 reduction on transition metal-doped AlN and GaN quantum dots: A DFT study. Chemical Physics. 595. 112723–112723. 1 indexed citations
2.
Lu, Gongxun, Lei Shi, Zhilong Wang, et al.. (2025). Decoding single-crystal lithium growth through solid electrolyte interphase omics. Nature Communications. 16(1). 9323–9323. 2 indexed citations
3.
Zhao, Liangliang, et al.. (2024). Long-term safety evaluation of soft rock tunnel structure based on knowledge decision-making and data-driven models. Computers and Geotechnics. 169. 106244–106244. 18 indexed citations
4.
Wang, Mingnian, et al.. (2024). MPM analysis for the stability mode and failure characteristics of tunnel face considering unsupported length. Computers and Geotechnics. 172. 106417–106417. 5 indexed citations
5.
6.
Wang, Zhilong, et al.. (2024). Synergistic Effect of Anodic Hydrophilic and Hydrophobic Interfaces for Long Cycle Life Aqueous Aluminum–Zinc Hybrid Ion Batteries. Advanced Energy Materials. 14(16). 18 indexed citations
7.
Zhao, Fangfang, Bowen Tao, Zhilong Wang, et al.. (2024). Anode‐Free Aqueous Aluminum Ion Batteries. Small. 20(38). e2402025–e2402025. 9 indexed citations
8.
Wang, Zhilong, Hazem Abdelsalam, Nahed H. Teleb, et al.. (2024). Single-Atom catalysts supported by nanographene networks for efficient CO2 electroreduction: A first-principles study. Surfaces and Interfaces. 55. 105462–105462. 3 indexed citations
9.
Chen, An, et al.. (2024). Knowledge-reused transfer learning for molecular and materials science. Journal of Energy Chemistry. 98. 149–168. 11 indexed citations
10.
Abdelsalam, Hazem, Mahmoud A.S. Sakr, Nahed H. Teleb, et al.. (2024). Highly efficient spin field-effect transistor based on nanographene and hBN heterostructures: spintronic and quantum transport properties. Chinese Journal of Physics. 90. 237–251. 5 indexed citations
11.
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
12.
Wang, Zihe, et al.. (2023). Dynamic modeling and analysis of traction operation process for the shipboard helicopter. Aerospace Science and Technology. 142. 108661–108661. 4 indexed citations
13.
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
14.
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
15.
Chen, An, Simin Ye, Zhilong Wang, et al.. (2023). Machine-learning-assisted rational design of 2D doped tellurene for fin field-effect transistor devices. Patterns. 4(4). 100722–100722. 9 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, Yanqiang Han, Junfei Cai, An Chen, & Jinjin Li. (2022). Vision for energy material design: A roadmap for integrated data-driven modeling. Journal of Energy Chemistry. 71. 56–62. 20 indexed citations
18.
Zhang, Haikuo, Zhilong Wang, Junfei Cai, Sicheng Wu, & Jinjin Li. (2021). Machine-Learning-Enabled Tricks of the Trade for Rapid Host Material Discovery in Li–S Battery. ACS Applied Materials & Interfaces. 13(45). 53388–53397. 36 indexed citations
19.
Wu, Sicheng, Zhilong Wang, Haikuo Zhang, Junfei Cai, & Jinjin Li. (2021). Deep Learning Accelerates the Discovery of Two‐Dimensional Catalysts for Hydrogen Evolution Reaction. Energy & environment materials. 6(1). 46 indexed citations
20.
Wang, Zhilong, Min Zhang, Danshi Wang, et al.. (2017). Failure prediction using machine learning and time series in optical network. Optics Express. 25(16). 18553–18553. 141 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tao Tao Breakdown of academic impact, for papers by Jinming Shi Breakdown of academic impact, for papers by Xinglin Li Breakdown of academic impact, for papers by Saisai Wang Breakdown of academic impact, for papers by Lan Yan Breakdown of academic impact, for papers by Feng Liu Breakdown of academic impact, for papers by Huawei Liu Breakdown of academic impact, for papers by Yuwei Wang Breakdown of academic impact, for papers by Yibing Wang Breakdown of academic impact, for papers by Kun Liu
Rankless by CCL
2026