Can Gao

44 total papers · 585 total citations
29 papers, 491 citations indexed

About

Can Gao is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Can Gao has authored 29 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 11 papers in Polymers and Plastics and 11 papers in Materials Chemistry. Recurrent topics in Can Gao's work include Perovskite Materials and Applications (19 papers), Chalcogenide Semiconductor Thin Films (14 papers) and Conducting polymers and applications (11 papers). Can Gao is often cited by papers focused on Perovskite Materials and Applications (19 papers), Chalcogenide Semiconductor Thin Films (14 papers) and Conducting polymers and applications (11 papers). Can Gao collaborates with scholars based in China, Taiwan and United States. Can Gao's co-authors include Yuejin Zhu, Ziyang Hu, Cheng Yang, Jing Zhang, Lei Jiang, Chuxin Li, Ning Li, Haoyu Dai, Zhichao Dong and Lei Wu and has published in prestigious journals such as Advanced Materials, Journal of Power Sources and Chemical Communications.

In The Last Decade

Can Gao

27 papers receiving 482 citations

Author Peers

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

Author						Papers	Cites
Can Gao	343	196	116	105	75	29	491
Alfons Vervaet	391 1.1×	216 1.1×	82 0.7×	52 0.5×	109 1.5×	38	534
Huawei Yin	88 0.3×	184 0.9×	128 1.1×	51 0.5×	80 1.1×	48	446
Jamila Boudaden	289 0.8×	129 0.7×	41 0.4×	59 0.6×	182 2.4×	31	517
Shuai Guo	156 0.5×	296 1.5×	62 0.5×	136 1.3×	105 1.4×	43	505
Jinyuan Yao	292 0.9×	68 0.3×	66 0.6×	65 0.6×	306 4.1×	31	509
Haigui Yang	226 0.7×	98 0.5×	79 0.7×	37 0.4×	246 3.3×	42	520
Chenlong Xu	256 0.7×	228 1.2×	44 0.4×	107 1.0×	69 0.9×	19	525
Nikola Papěž	224 0.7×	153 0.8×	22 0.2×	126 1.2×	192 2.6×	36	548
Karolis Ratautas	231 0.7×	209 1.1×	28 0.2×	34 0.3×	270 3.6×	32	551
Junren Chen	312 0.9×	85 0.4×	28 0.2×	30 0.3×	45 0.6×	26	432

Countries citing papers authored by Can Gao

Since Specialization

Citations

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

Fields of papers citing papers by Can Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Gao

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