Ran Cheng

17 total papers · 404 total citations
11 papers, 335 citations indexed

About

Ran Cheng is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ran Cheng has authored 11 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ran Cheng's work include Advanced Memory and Neural Computing (6 papers), Neural Networks and Reservoir Computing (5 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Ran Cheng is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Neural Networks and Reservoir Computing (5 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Ran Cheng collaborates with scholars based in United States, China and Qatar. Ran Cheng's co-authors include Wenxiang Zhao, Guohai Liu, Michael C. Hamilton, Ying Xie, Huawei Zhou, Liang Xu, Konstantin Nikolić, Khalid B. Mirza, Christoph Kirst and Luke Oeding and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Industrial Electronics and Frontiers in Neuroscience.

In The Last Decade

Ran Cheng

11 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Ran Cheng	302	114	77	66	41	11	335
J.W. Fattaruso	293 1.0×	20 0.2×	26 0.3×	56 0.8×	7 0.2×	22	355
Jacob Millman	211 0.7×	34 0.3×	8 0.1×	24 0.4×	18 0.4×	12	335
David M. Bromberg	283 0.9×	53 0.5×	30 0.4×	23 0.3×	10 0.2×	23	352
Jizheng Qiu	318 1.1×	19 0.2×	67 0.9×	16 0.2×	77 1.9×	20	376
K. Oyama	274 0.9×	71 0.6×	44 0.6×	9 0.1×	63 1.5×	14	297
D. L. Stuehm	300 1.0×	118 1.0×	272 3.5×	13 0.2×	81 2.0×	15	384
Chen Dai	159 0.5×	215 1.9×	17 0.2×	7 0.1×	54 1.3×	21	307
M.K. El-Sherbiny	309 1.0×	201 1.8×	88 1.1×	13 0.2×	33 0.8×	19	354
Agamyrat Agambayev	186 0.6×	213 1.9×	11 0.1×	17 0.3×	10 0.2×	13	345
Kushal Das	254 0.8×	14 0.1×	15 0.2×	85 1.3×	9 0.2×	20	336

Countries citing papers authored by Ran Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Ran Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Cheng

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