Jian Meng

79 total papers · 767 total citations
47 papers, 515 citations indexed

About

Jian Meng is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jian Meng has authored 47 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Jian Meng's work include Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (18 papers) and Advanced Neural Network Applications (13 papers). Jian Meng is often cited by papers focused on Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (18 papers) and Advanced Neural Network Applications (13 papers). Jian Meng collaborates with scholars based in United States, China and South Korea. Jian Meng's co-authors include Jae-sun Seo, Yunfei Mu, Xiaodan Yu, Jianzhong Wu, Hongjie Jia, Bo Qu, Deliang Fan, Shimeng Yu, Li Yang and Xiaochen Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Sensors.

In The Last Decade

Jian Meng

44 papers receiving 504 citations

Author Peers

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

Author						Papers	Cites
Jian Meng	410	93	78	76	72	47	515
Mohamed Baker Alawieh	367 0.9×	71 0.8×	27 0.3×	101 1.3×	45 0.6×	33	539
Sixu Li	255 0.6×	113 1.2×	34 0.4×	67 0.9×	64 0.9×	49	581
R. Gutiérrez	382 0.9×	209 2.2×	62 0.8×	37 0.5×	41 0.6×	43	572
Лэй Сун	211 0.5×	70 0.8×	124 1.6×	124 1.6×	124 1.7×	68	609
Shubin Zhang	351 0.9×	69 0.7×	48 0.6×	46 0.6×	112 1.6×	28	580
Fanny Spagnolo	338 0.8×	47 0.5×	155 2.0×	152 2.0×	51 0.7×	51	593
Shunsuke Aoki	180 0.4×	208 2.2×	170 2.2×	76 1.0×	83 1.2×	49	517
Jinyang Li	303 0.7×	35 0.4×	27 0.3×	145 1.9×	57 0.8×	34	512
Jun Tao	264 0.6×	47 0.5×	51 0.7×	43 0.6×	84 1.2×	78	464
Lu Feng	256 0.6×	38 0.4×	47 0.6×	40 0.5×	77 1.1×	44	544

Countries citing papers authored by Jian Meng

Since Specialization

Citations

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

Fields of papers citing papers by Jian Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Meng

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