J. Gao

4.9k total citations
2 papers, 15 citations indexed

About

J. Gao is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, J. Gao has authored 2 papers receiving a total of 15 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Cognitive Neuroscience, 1 paper in Electrical and Electronic Engineering and 1 paper in Biomedical Engineering. Recurrent topics in J. Gao's work include Advanced Sensor and Energy Harvesting Materials (1 paper), Tactile and Sensory Interactions (1 paper) and Green IT and Sustainability (1 paper). J. Gao is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (1 paper), Tactile and Sensory Interactions (1 paper) and Green IT and Sustainability (1 paper). J. Gao collaborates with scholars based in China. J. Gao's co-authors include Xiao Lu, Lijia Pan, Yi Shi, Xidi Sun, Fuhua Huang, Jia‐Han Zhang, Fengchang Huang, Jing Wu, Liya Wang and Shuo Li and has published in prestigious journals such as Biomedicines.

In The Last Decade

J. Gao

1 paper receiving 15 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Gao China 1 11 7 3 2 2 2 15
G. M. Xiang China 3 9 0.8× 7 1.0× 3 1.0× 3 1.5× 1 0.5× 8 15
Carlos Solans Sánchez Switzerland 3 7 0.6× 8 1.1× 3 1.0× 3 1.5× 7 20
Y. M. Ye China 3 12 1.1× 5 0.7× 3 1.0× 1 0.5× 4 18
X. D. Ruan China 3 14 1.3× 7 1.0× 2 0.7× 4 2.0× 9 20
Xuedi Li China 4 15 1.4× 4 0.6× 2 0.7× 3 1.5× 6 22
Taemin Kim South Korea 2 4 0.4× 7 1.0× 2 0.7× 2 1.0× 1 0.5× 4 15
Ronald Klos Germany 2 14 1.3× 7 1.0× 2 1.0× 2 16
Q. X. Geng China 2 10 0.9× 2 0.3× 3 1.0× 3 1.5× 3 1.5× 2 19
Olaf Sawlanski Germany 2 14 1.3× 7 1.0× 2 1.0× 4 16
X. Xiao China 3 11 1.0× 13 1.9× 1 0.5× 2 1.0× 11 22

Countries citing papers authored by J. Gao

Since Specialization
Citations

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

Fields of papers citing papers by J. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Gao

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

All Works

2 of 2 papers shown
1.
Wang, Liya, et al.. (2025). ENTERPRISE LARGE LANGUAGE MODEL EVALUATION BENCHMARK. 1–19.
2.
Sun, Xidi, J. Gao, Jing Wu, et al.. (2024). E-Skin and Its Advanced Applications in Ubiquitous Health Monitoring. Biomedicines. 12(10). 2307–2307. 15 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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