Zihao Jiao

675 total citations · 1 hit paper
19 papers, 551 citations indexed

About

Zihao Jiao is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Catalysis. According to data from OpenAlex, Zihao Jiao has authored 19 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Renewable Energy, Sustainability and the Environment, 10 papers in Materials Chemistry and 4 papers in Catalysis. Recurrent topics in Zihao Jiao's work include CO2 Reduction Techniques and Catalysts (9 papers), Machine Learning in Materials Science (6 papers) and Advanced Photocatalysis Techniques (5 papers). Zihao Jiao is often cited by papers focused on CO2 Reduction Techniques and Catalysts (9 papers), Machine Learning in Materials Science (6 papers) and Advanced Photocatalysis Techniques (5 papers). Zihao Jiao collaborates with scholars based in China, New Zealand and United States. Zihao Jiao's co-authors include Xingyi Zhou, Fei Zhao, Xiao Zhao, Guihua Yu, Youhong Guo, Ya Liu, Liejin Guo, Wenhao Jing, Liejin Guo and Feng Wang and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Zihao Jiao

17 papers receiving 547 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tailoring surface wetting states for ultrafast solar-driven water evaporation

2020 360 citations Youhong Guo, Xiao Zhao et al. Energy & Environmental Science profile →

Peers

Zihao Jiao

RESE

WST

SCF

Hongyan Peng China

Manpreet Kaur India

Debesh Devadutta Mishra China

Baohua Liu China

S. Bhattacharjee India

Guanyu Wang China

Yufei Gu China

Siyu Sheng China

Çayan Demirkır Netherlands

Anna Lee South Korea

Hongyan Peng China

Zihao Jiao

375 ×0.8

RESE

182 ×1.0

WST

68 ×0.7

69 ×0.8

SCF

46 ×0.5

Citations per year, relative to Zihao Jiao Zihao Jiao (= 1×) peers Hongyan Peng

Countries citing papers authored by Zihao Jiao

Since Specialization

Citations

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

Fields of papers citing papers by Zihao Jiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihao Jiao

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

All Works

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19 of 19 papers shown

Bian, Linyan, Zihao Jiao, Xianyun Liu, et al.. (2025). Synergistically driven PdCo alloy based on cross-linked carbon dots for efficient formic acid dehydrogenation. Journal of Colloid and Interface Science. 687. 766–774. 4 indexed citations

Jiao, Zihao, Chengyi Zhang, Ya Liu, Liejin Guo, & Ziyun Wang. (2025). Graph neural network-driven prediction of high-performance CO2 reduction catalysts based on Cu-based high-entropy alloys. CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION). 71. 197–207. 2 indexed citations

Jiao, Zihao, Yu Mao, Ruihu Lu, et al.. (2025). Fine-Tuning Graph Neural Networks via Active Learning: Unlocking the Potential of Graph Neural Networks Trained on Nonaqueous Systems for Aqueous CO₂ Reduction. Journal of Chemical Theory and Computation. 21(6). 3176–3186. 2 indexed citations

Ren, Yilong, Penghui Guo, Shengjie Bai, et al.. (2025). Orderly Drawing Photo‐Thermal Synergistic Electron Flow for Efficient CO ₂ Reduction under Natural Sunlight. Advanced Materials. 38(1). e11097–e11097. 1 indexed citations

Zhang, Chengyi, Jiguang Zhang, Zihao Jiao, Yanwei Lum, & Ziyun Wang. (2025). Tuning Eley–Rideal Mechanism in Electrochemical Acetylene Semi‐Hydrogenation. Angewandte Chemie International Edition. 64(35). e202512218–e202512218. 2 indexed citations

Zhang, Chengyi, Xiaoli Ge, Zihao Jiao, et al.. (2025). Graph Neural Network Driven Exploration of Non‐Precious Metal Catalysts for Air‐to‐Ammonia Conversion. Advanced Materials. 37(42). e09915–e09915.

Jiao, Zihao, et al.. (2024). The synergy of low S-vacancy and Cu sites in Cu-In4SnS8 promotes the favorable conversion of CO2 to ethanol with full selectivity. Chemical Engineering Journal. 495. 153560–153560. 11 indexed citations

Jing, Wenhao, et al.. (2024). An active learning workflow for predicting hydrogen atom adsorption energies on binary oxides based on local electronic transfer features. Green Energy & Environment. 9(10). 1489–1496. 3 indexed citations

Jiao, Zihao, Ya Liu, & Ziyun Wang. (2024). Application of graph neural network in computational heterogeneous catalysis. The Journal of Chemical Physics. 161(17). 11 indexed citations

10.

Jiao, Zihao, et al.. (2023). Effect of model flexibility on the behavior of supercritical water in molecular dynamics simulation. Journal of Molecular Liquids. 382. 121997–121997.

11.

Jiao, Zihao, et al.. (2023). How *CO spill-over affects C–C coupling on amorphous Cu for converting CO2 to multi-carbon products. Journal of Catalysis. 428. 115170–115170. 8 indexed citations

12.

Jiao, Zihao, et al.. (2023). Unraveling the Selectivity and Synergistic Mechanism of Cu-Based Alloys for CO₂ Reduction. The Journal of Physical Chemistry Letters. 14(26). 6009–6017. 6 indexed citations

13.

Jiao, Zihao, et al.. (2022). Search for the superiority of supercritical water with ab initio molecular dynamics simulation. Journal of Molecular Liquids. 365. 120140–120140. 11 indexed citations

14.

Guo, Liejin, Zhisong Ou, Ya Liu, et al.. (2022). Technological innovations on direct carbon mitigation by ordered energy conversion and full resource utilization. PubMed Central. 1(1). 46 indexed citations

15.

Jiao, Zihao, et al.. (2022). Revealing the Nature of C–C Coupling Sites on a Cu Surface for CO₂ Reduction. The Journal of Physical Chemistry Letters. 13(20). 4434–4440. 20 indexed citations

16.

Liu, Ya, Feng Wang, Zihao Jiao, et al.. (2022). Photochemical Systems for Solar-to-Fuel Production. Electrochemical Energy Reviews. 5(3). 54 indexed citations

17.

Guo, Youhong, Xiao Zhao, Fei Zhao, et al.. (2020). Tailoring surface wetting states for ultrafast solar-driven water evaporation. Energy & Environmental Science. 13(7). 2087–2095. 360 indexed citations breakdown →

18.

He, Junbao, Guoping Ling, & Zihao Jiao. (2001). Magnetic and transport properties of cubic AuBe5-type YbCu5−xGax system. Physica B Condensed Matter. 301(3-4). 196–202. 9 indexed citations

19.

Pan, Feng, et al.. (1998). Oscillatory behaviour of the transition temperature in superlattices. Physics Letters A. 247(1-2). 187–189. 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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