Jinyu Zhan

97 total papers · 672 total citations
66 papers, 440 citations indexed

About

Jinyu Zhan is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jinyu Zhan has authored 66 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hardware and Architecture, 29 papers in Artificial Intelligence and 26 papers in Computer Networks and Communications. Recurrent topics in Jinyu Zhan's work include Parallel Computing and Optimization Techniques (20 papers), Adversarial Robustness in Machine Learning (18 papers) and Advanced Data Storage Technologies (16 papers). Jinyu Zhan is often cited by papers focused on Parallel Computing and Optimization Techniques (20 papers), Adversarial Robustness in Machine Learning (18 papers) and Advanced Data Storage Technologies (16 papers). Jinyu Zhan collaborates with scholars based in China, Hong Kong and United States. Jinyu Zhan's co-authors include Wei Jiang, Zhiyuan He, Deepak Adhikari, Ziwei Song, Danda B. Rawat, Liang Wen, Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Yixin Li and Xupeng Wang and has published in prestigious journals such as PLoS ONE, ACM Computing Surveys and IEEE Transactions on Vehicular Technology.

In The Last Decade

Jinyu Zhan

59 papers receiving 422 citations

Author Peers

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

Author						Papers	Cites
Jinyu Zhan	174	130	101	94	81	66	440
Jing Huang	168 1.0×	106 0.8×	69 0.7×	50 0.5×	100 1.2×	40	475
Árpád Gellért	82 0.5×	87 0.7×	63 0.6×	156 1.7×	91 1.1×	52	424
Osamu Saotome	172 1.0×	171 1.3×	41 0.4×	88 0.9×	64 0.8×	83	475
Peng Di	124 0.7×	83 0.6×	119 1.2×	31 0.3×	55 0.7×	49	393
Lei Zhang	118 0.7×	156 1.2×	21 0.2×	50 0.5×	62 0.8×	43	432
Hui Peng	136 0.8×	67 0.5×	38 0.4×	79 0.8×	67 0.8×	46	495
Cihan Tunc	142 0.8×	215 1.7×	38 0.4×	76 0.8×	84 1.0×	49	403
Tsuyoshi Isshiki	70 0.4×	150 1.2×	176 1.7×	94 1.0×	129 1.6×	91	460
Murali Emani	117 0.7×	141 1.1×	128 1.3×	61 0.6×	108 1.3×	36	395
Vladimir Hahanov	106 0.6×	140 1.1×	115 1.1×	167 1.8×	36 0.4×	109	484

Countries citing papers authored by Jinyu Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Jinyu Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyu Zhan

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