Zheng Chai

59 total papers · 720 total citations
39 papers, 536 citations indexed

About

Zheng Chai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Zheng Chai has authored 39 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 8 papers in Artificial Intelligence. Recurrent topics in Zheng Chai's work include Advanced Memory and Neural Computing (27 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Semiconductor materials and devices (11 papers). Zheng Chai is often cited by papers focused on Advanced Memory and Neural Computing (27 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Semiconductor materials and devices (11 papers). Zheng Chai collaborates with scholars based in United Kingdom, China and Belgium. Zheng Chai's co-authors include Weidong Zhang, J. F. Zhang, Gouri Sankar Kar, John Marsland, Ludovic Goux, B. Govoreanu, Zhigang Ji, R. Degraeve, A. Fantini and Daniele Garbin and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Langmuir.

In The Last Decade

Zheng Chai

33 papers receiving 526 citations

Author Peers

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

Author						Papers	Cites
Zheng Chai	408	187	83	64	62	39	536
Jau-Yi Wu	384 0.9×	213 1.1×	56 0.7×	40 0.6×	53 0.9×	21	471
Yongmin Baek	334 0.8×	189 1.0×	37 0.4×	109 1.7×	62 1.0×	24	493
Xiang Chen	307 0.8×	205 1.1×	47 0.6×	116 1.8×	56 0.9×	18	492
Tao Chen	341 0.8×	152 0.8×	28 0.3×	60 0.9×	157 2.5×	30	543
Nasir Ilyas	457 1.1×	182 1.0×	84 1.0×	42 0.7×	69 1.1×	21	559
Yaohua Yang	324 0.8×	267 1.4×	95 1.1×	94 1.5×	28 0.5×	26	555
Wei Huang	320 0.8×	342 1.8×	69 0.8×	252 3.9×	55 0.9×	28	609
Haiyang Xu	465 1.1×	158 0.8×	165 2.0×	80 1.3×	34 0.5×	28	596
Weijun Cheng	279 0.7×	196 1.0×	35 0.4×	86 1.3×	56 0.9×	21	447
Shuxia Ren	334 0.8×	195 1.0×	146 1.8×	26 0.4×	25 0.4×	43	471

Countries citing papers authored by Zheng Chai

Since Specialization

Citations

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

Fields of papers citing papers by Zheng Chai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Chai

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