Jianye Yang

46 total papers · 432 total citations
28 papers, 264 citations indexed

About

Jianye Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Jianye Yang has authored 28 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 11 papers in Computer Networks and Communications. Recurrent topics in Jianye Yang's work include Data Management and Algorithms (12 papers), Graph Theory and Algorithms (9 papers) and Caching and Content Delivery (5 papers). Jianye Yang is often cited by papers focused on Data Management and Algorithms (12 papers), Graph Theory and Algorithms (9 papers) and Caching and Content Delivery (5 papers). Jianye Yang collaborates with scholars based in China, Australia and Hong Kong. Jianye Yang's co-authors include Chengyuan Zhang, Shichao Zhang, Xiaofeng Zhu, Wenjie Zhang, Zhaoquan Gu, Cuiyun Gao, Ying Zhang, Xuemin Lin, Yao Wu and Yün Peng and has published in prestigious journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Applied Soft Computing.

In The Last Decade

Jianye Yang

23 papers receiving 261 citations

Author Peers

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

Author						Papers	Cites
Jianye Yang	131	103	82	53	48	28	264
Martin Mladenov	157 1.2×	95 0.9×	49 0.6×	43 0.8×	42 0.9×	32	330
Humberto Razente	101 0.8×	106 1.0×	140 1.7×	74 1.4×	60 1.3×	28	254
Maria Camila N. Barioni	102 0.8×	85 0.8×	140 1.7×	75 1.4×	62 1.3×	34	254
Christine Largeron	140 1.1×	87 0.8×	28 0.3×	37 0.7×	60 1.3×	33	293
Yanhua Chen	145 1.1×	135 1.3×	27 0.3×	52 1.0×	52 1.1×	30	330
Sutanay Choudhury	129 1.0×	72 0.7×	36 0.4×	85 1.6×	65 1.4×	40	291
Yao Li	117 0.9×	57 0.6×	28 0.3×	55 1.0×	48 1.0×	39	287
Xinyue Liu	126 1.0×	83 0.8×	38 0.5×	37 0.7×	89 1.9×	27	297
Zechao Shang	112 0.9×	118 1.1×	90 1.1×	167 3.2×	88 1.8×	22	299
Maarten Löffler	100 0.8×	52 0.5×	112 1.4×	57 1.1×	28 0.6×	28	302

Countries citing papers authored by Jianye Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jianye Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianye Yang

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