Yujia Jin

13 papers and 217 indexed citations i.

About

Yujia Jin is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Yujia Jin has authored 13 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 4 papers in Renewable Energy, Sustainability and the Environment and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Yujia Jin’s work include Markov Chains and Monte Carlo Methods (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Carbon dioxide utilization in catalysis (2 papers). Yujia Jin is often cited by papers focused on Markov Chains and Monte Carlo Methods (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Carbon dioxide utilization in catalysis (2 papers). Yujia Jin collaborates with scholars based in China, Japan and United States. Yujia Jin's co-authors include Fangming Jin, Guodong Yao, Heng Zhong, Jianke Liu, Xu Zeng, Zhibao Huo, Jia Duo, Guangyi Zhang, Heiji Enomoto and Atsushi Kishita and has published in prestigious journals such as Bioresource Technology, Scientific Reports and International Journal of Hydrogen Energy.

In The Last Decade

Co-authorship network of co-authors of Yujia Jin i

Fields of papers citing papers by Yujia Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yujia Jin

Since Specialization
Citations

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

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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