Kai Wen

31 total papers · 864 total citations
18 papers, 609 citations indexed

About

Kai Wen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Kai Wen has authored 18 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Kai Wen's work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (7 papers) and Neural Networks and Reservoir Computing (7 papers). Kai Wen is often cited by papers focused on Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (7 papers) and Neural Networks and Reservoir Computing (7 papers). Kai Wen collaborates with scholars based in China, Japan and United States. Kai Wen's co-authors include Chuan Wang, Robert L. Byer, Alireza Marandi, Y. Yamamoto, Zhe Wang, Fu‐Guo Deng, Gui‐Lu Long, Wanying Wang, Xihan Li and Bo Lü and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physical Review A.

In The Last Decade

Kai Wen

16 papers receiving 578 citations

Author Peers

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

Author						Papers	Cites
Kai Wen	493	305	138	51	38	18	609
Zhe Wang	482 1.0×	195 0.6×	235 1.7×	52 1.0×	50 1.3×	11	633
Nan Ding	585 1.2×	329 1.1×	77 0.6×	11 0.2×	113 3.0×	9	678
Xiang Fu	492 1.0×	253 0.8×	111 0.8×	13 0.3×	99 2.6×	36	589
Kirill P. Kalinin	289 0.6×	409 1.3×	157 1.1×	30 0.6×	13 0.3×	24	593
Salvatore Mandrà	410 0.8×	159 0.5×	64 0.5×	41 0.8×	89 2.3×	23	597
Ramona Wolf	445 0.9×	215 0.7×	77 0.6×	19 0.4×	71 1.9×	13	568
Jia Luo	442 0.9×	83 0.3×	41 0.3×	13 0.3×	174 4.6×	25	567
E. Valiante	199 0.4×	37 0.1×	75 0.5×	33 0.6×	78 2.1×	16	677
Alexandros Kapsalis	124 0.3×	273 0.9×	523 3.8×	51 1.0×	24 0.6×	49	610
Hongxiang Chen	538 1.1×	317 1.0×	44 0.3×	14 0.3×	106 2.8×	13	630

Countries citing papers authored by Kai Wen

Since Specialization

Citations

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

Fields of papers citing papers by Kai Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Wen

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