Jian Cai

40 total papers · 647 total citations
29 papers, 470 citations indexed

About

Jian Cai is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Jian Cai has authored 29 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 4 papers in Cognitive Neuroscience and 4 papers in Physiology. Recurrent topics in Jian Cai's work include Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Jian Cai is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Jian Cai collaborates with scholars based in China, United States and United Kingdom. Jian Cai's co-authors include Bharati Bapat, Matthew Bjerknes, Hazel Cheng, Mark Redston, Steven Gallinger, Kazy Hay, Tak W. Mak, Armin Reitmair, Xue‐Feng Chu and Xiaoyan Jiang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neurocomputing.

In The Last Decade

Jian Cai

24 papers receiving 452 citations

Author Peers

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

Author						Papers	Cites
Jian Cai	119	118	78	71	70	29	470
Yohwan Yeo	62 0.5×	87 0.7×	69 0.9×	105 1.5×	43 0.6×	45	476
Emily H. Smith	52 0.4×	106 0.9×	44 0.6×	72 1.0×	93 1.3×	34	420
Li Song	36 0.3×	120 1.0×	66 0.8×	130 1.8×	76 1.1×	29	551
Akio Miyoshi	85 0.7×	120 1.0×	51 0.7×	62 0.9×	40 0.6×	27	406
Xinyi Li	70 0.6×	127 1.1×	57 0.7×	46 0.6×	16 0.2×	44	487
Jinsong Jiao	47 0.4×	162 1.4×	37 0.5×	30 0.4×	43 0.6×	30	455
Fangfang Tian	43 0.4×	31 0.3×	47 0.6×	43 0.6×	44 0.6×	23	467
T.K. Wheeler	41 0.3×	57 0.5×	40 0.5×	135 1.9×	52 0.7×	19	459
Fanyi Kong	57 0.5×	63 0.5×	200 2.6×	17 0.2×	36 0.5×	41	485
Weibo Liu	35 0.3×	106 0.9×	18 0.2×	44 0.6×	49 0.7×	36	416

Countries citing papers authored by Jian Cai

Since Specialization

Citations

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

Fields of papers citing papers by Jian Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Cai

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