Jiankai Ge

771 total citations
13 papers, 641 citations indexed

About

Jiankai Ge is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jiankai Ge has authored 13 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 6 papers in Electrical and Electronic Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jiankai Ge's work include Machine Learning in Materials Science (4 papers), Electrocatalysts for Energy Conversion (4 papers) and Fuel Cells and Related Materials (4 papers). Jiankai Ge is often cited by papers focused on Machine Learning in Materials Science (4 papers), Electrocatalysts for Energy Conversion (4 papers) and Fuel Cells and Related Materials (4 papers). Jiankai Ge collaborates with scholars based in United States, China and Singapore. Jiankai Ge's co-authors include Changzheng Wu, Tianpei Zhou, Cheng’an Zhong, Wangsheng Chu, Nan Zhang, Yi Xie, Xinxin Yu, Qiyang Jiao, Wenjie Wang and Yangchao Tian and has published in prestigious journals such as Advanced Materials, Accounts of Chemical Research and Chemical Engineering Journal.

In The Last Decade

Jiankai Ge

13 papers receiving 636 citations

Peers

Jiankai Ge
Chong Guo China
Cheol-Hwan Shin South Korea
Myounghoon Choun South Korea
Jiankai Ge
Citations per year, relative to Jiankai Ge Jiankai Ge (= 1×) peers Yuehong Xie

Countries citing papers authored by Jiankai Ge

Since Specialization
Citations

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

Fields of papers citing papers by Jiankai Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiankai Ge

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

All Works

13 of 13 papers shown
1.
Ge, Jiankai, et al.. (2025). Population Balance Models for Catalytic Depolymerization: From Elementary Steps to Multiphase Reactors. Accounts of Chemical Research. 58(12). 1847–1855. 1 indexed citations
2.
Xu, Yuzhi, Bo Li, Jinyu Zhang, et al.. (2025). Exploring Optimized Organic Fluorophore Search through Experimental Data-Driven Adaptive β-VAE. JACS Au. 5(7). 3082–3091. 1 indexed citations
3.
Ge, Jiankai, et al.. (2025). Multisite Microkinetic Models in Catalysis: Automatic Formulation and Direct Solutions of the Master Equation. The Journal of Physical Chemistry C. 129(15). 7285–7294. 1 indexed citations
4.
Xu, Yuzhi, Xinxin Liu, Wei Xia, et al.. (2024). ChemXTree: A Feature-Enhanced Graph Neural Network-Neural Decision Tree Framework for ADMET Prediction. Journal of Chemical Information and Modeling. 64(22). 8440–8452. 9 indexed citations
5.
Ge, Jiankai, et al.. (2024). Recent advances in artificial intelligence boosting materials design for electrochemical energy storage. Chemical Engineering Journal. 490. 151625–151625. 65 indexed citations
6.
Zhong, Cheng’an, Tianpei Zhou, Nan Zhang, et al.. (2023). Central electron-enriched NO-FeN<sub>4</sub> sites as superior acidic oxygen reduction reaction electrocatalysts for proton exchange membrane fuel cells. JUSTC. 53(3). 304–304. 2 indexed citations
7.
Xu, Yuzhi, Jiankai Ge, & Cheng‐Wei Ju. (2023). Machine learning in energy chemistry: introduction, challenges and perspectives. Energy Advances. 2(7). 896–921. 18 indexed citations
8.
Yu, Sheng, et al.. (2023). Computational modeling guided design of metal–organic frameworks for photocatalysis – a mini review. Catalysis Science & Technology. 13(23). 6583–6603. 7 indexed citations
9.
Ge, Jiankai, et al.. (2023). Microkinetic Models with Interacting Adsorbates and Langmuir–Hinshelwood Steps: Solving the Master Equation on Small Periodic Tiles. The Journal of Physical Chemistry C. 127(49). 23687–23695. 7 indexed citations
10.
Ge, Jiankai & Baron Peters. (2023). Mass transfer in catalytic depolymerization: External effectiveness factors and serendipitous processivity in stagnant and stirred melts. Chemical Engineering Journal. 466. 143251–143251. 19 indexed citations
11.
Zhang, Nan, Tianpei Zhou, Jiankai Ge, et al.. (2020). High-Density Planar-like Fe2N6 Structure Catalyzes Efficient Oxygen Reduction. Matter. 3(2). 509–521. 252 indexed citations
12.
Zhou, Tianpei, Huan Shan, Hao Yu, et al.. (2020). Nanopore Confinement of Electrocatalysts Optimizing Triple Transport for an Ultrahigh‐Power‐Density Zinc–Air Fuel Cell with Robust Stability. Advanced Materials. 32(47). e2003251–e2003251. 139 indexed citations
13.
Yu, Xinxin, Tianpei Zhou, Jiankai Ge, & Changzheng Wu. (2020). Recent Advances on the Modulation of Electrocatalysts Based on Transition Metal Nitrides for the Rechargeable Zn-Air Battery. ACS Materials Letters. 2(11). 1423–1434. 120 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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