Xue Jia

96 total papers · 847 total citations
54 papers, 581 citations indexed

About

Xue Jia is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Xue Jia has authored 54 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Materials Chemistry, 17 papers in Renewable Energy, Sustainability and the Environment and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Xue Jia's work include Machine Learning in Materials Science (15 papers), Electrocatalysts for Energy Conversion (12 papers) and CO2 Reduction Techniques and Catalysts (6 papers). Xue Jia is often cited by papers focused on Machine Learning in Materials Science (15 papers), Electrocatalysts for Energy Conversion (12 papers) and CO2 Reduction Techniques and Catalysts (6 papers). Xue Jia collaborates with scholars based in China, Japan and Hong Kong. Xue Jia's co-authors include Hao Li, Changsong Wang, Guangqi Yan, Wei Li, Heng Liu, Xingjun Liu, Ang Cao, Carmine D’Agostino, Jun Mao and Qian Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Xue Jia

42 papers receiving 562 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xue Jia 255 161 140 99 89 54 581
Mingying Chen 162 0.6× 87 0.5× 80 0.6× 151 1.5× 38 0.4× 60 680
Nidhi Asthana 187 0.7× 58 0.4× 116 0.8× 60 0.6× 28 0.3× 50 598
Hikaru Abe 56 0.2× 127 0.8× 151 1.1× 152 1.5× 28 0.3× 32 537
Enhui Zhang 199 0.8× 111 0.7× 60 0.4× 167 1.7× 14 0.2× 57 667
Masahiro Fukuda 197 0.8× 59 0.4× 101 0.7× 100 1.0× 16 0.2× 33 538
Xiong Sun 199 0.8× 116 0.7× 105 0.8× 127 1.3× 17 0.2× 42 668
Qiaoqiao Liu 75 0.3× 60 0.4× 229 1.6× 171 1.7× 22 0.2× 56 597
Wen Ou 101 0.4× 59 0.4× 209 1.5× 41 0.4× 31 0.3× 61 619
Wen Lei 170 0.7× 69 0.4× 124 0.9× 105 1.1× 10 0.1× 86 651
Lantian Zhang 239 0.9× 167 1.0× 78 0.6× 75 0.8× 13 0.1× 44 585

Countries citing papers authored by Xue Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xue Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue Jia

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

All Works

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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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