Kun Gao

45 total papers · 686 total citations
28 papers, 474 citations indexed

About

Kun Gao is a scholar working on Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kun Gao has authored 28 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Mechanical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Kun Gao's work include Thermochemical Biomass Conversion Processes (5 papers), Coal Properties and Utilization (5 papers) and Silicon and Solar Cell Technologies (3 papers). Kun Gao is often cited by papers focused on Thermochemical Biomass Conversion Processes (5 papers), Coal Properties and Utilization (5 papers) and Silicon and Solar Cell Technologies (3 papers). Kun Gao collaborates with scholars based in China, United States and Australia. Kun Gao's co-authors include Jun Wu, Gerhard Pensl, J.D. Riley, Florin Ciobanu, L. Ley, Thomas Seyller, Anton Tadich, Zhiqiang Wu, Pamela J. Schreiner and Andrea N. Burnett‐Hartman and has published in prestigious journals such as Applied Physics Letters, Advanced Energy Materials and Applied Energy.

In The Last Decade

Kun Gao

25 papers receiving 465 citations

Author Peers

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

Author						Papers	Cites
Kun Gao	106	79	68	68	64	28	474
Ying Zhang	124 1.2×	54 0.7×	21 0.3×	181 2.7×	68 1.1×	33	436
Zhewen Ding	282 2.7×	91 1.2×	44 0.6×	158 2.3×	26 0.4×	27	549
Jingjing Yang	184 1.7×	36 0.5×	22 0.3×	62 0.9×	51 0.8×	60	449
Mingtong Chen	125 1.2×	74 0.9×	217 3.2×	117 1.7×	134 2.1×	31	490
Yifan Yang	154 1.5×	46 0.6×	43 0.6×	39 0.6×	183 2.9×	35	535
Jianyu Zhang	115 1.1×	128 1.6×	44 0.6×	80 1.2×	75 1.2×	35	524
Ye Fu	52 0.5×	53 0.7×	25 0.4×	183 2.7×	47 0.7×	29	530
Ying Tong	97 0.9×	82 1.0×	57 0.8×	90 1.3×	68 1.1×	48	415
Zimeng Liu	135 1.3×	65 0.8×	58 0.9×	100 1.5×	264 4.1×	32	551
Shawn Zhang	55 0.5×	100 1.3×	32 0.5×	91 1.3×	129 2.0×	47	497

Countries citing papers authored by Kun Gao

Since Specialization

Citations

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

Fields of papers citing papers by Kun Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Gao. A scholar is included among the top collaborators of Kun 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 Kun Gao. Kun Gao 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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