Jia-Yong Wu

84 total papers · 545 total citations
44 papers, 306 citations indexed

About

Jia-Yong Wu is a scholar working on Applied Mathematics, Geometry and Topology and Astronomy and Astrophysics. According to data from OpenAlex, Jia-Yong Wu has authored 44 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Applied Mathematics, 33 papers in Geometry and Topology and 14 papers in Astronomy and Astrophysics. Recurrent topics in Jia-Yong Wu's work include Geometric Analysis and Curvature Flows (42 papers), Geometry and complex manifolds (32 papers) and Nonlinear Partial Differential Equations (22 papers). Jia-Yong Wu is often cited by papers focused on Geometric Analysis and Curvature Flows (42 papers), Geometry and complex manifolds (32 papers) and Nonlinear Partial Differential Equations (22 papers). Jia-Yong Wu collaborates with scholars based in China, United States and Japan. Jia-Yong Wu's co-authors include Yu Zheng, William Wylie, Bobo Hua, Haiping Li, Bin Xu, Jianmin Zhao, Jian Liu, Dong Yü and Fansheng Kong and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis and Pacific Journal of Mathematics.

In The Last Decade

Jia-Yong Wu

36 papers receiving 289 citations

Author Peers

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

Author						Papers	Cites
Jia-Yong Wu	297	189	58	54	35	44	306
Enrico Le Donne	289 1.0×	177 0.9×	94 1.6×	130 2.4×	25 0.7×	48	348
Tom Yau-heng Wan	273 0.9×	244 1.3×	34 0.6×	64 1.2×	62 1.8×	21	321
James J. Hebda	196 0.7×	198 1.0×	51 0.9×	116 2.1×	34 1.0×	32	291
Dong-Ho Tsai	237 0.8×	135 0.7×	29 0.5×	67 1.2×	37 1.1×	37	258
Vicente Miquel	223 0.8×	198 1.0×	55 0.9×	32 0.6×	14 0.4×	36	245
Zizhou Tang	288 1.0×	236 1.2×	102 1.8×	61 1.1×	37 1.1×	41	324
Annamaria Montanari	248 0.8×	101 0.5×	32 0.6×	70 1.3×	87 2.5×	38	274
Anton Petrunin	266 0.9×	220 1.2×	75 1.3×	70 1.3×	39 1.1×	36	307
Xu Cheng	334 1.1×	275 1.5×	107 1.8×	36 0.7×	19 0.5×	29	345
Yanir A. Rubinstein	216 0.7×	206 1.1×	52 0.9×	48 0.9×	11 0.3×	27	252

Countries citing papers authored by Jia-Yong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jia-Yong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia-Yong Wu. 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 Jia-Yong Wu. The network helps show where Jia-Yong Wu may publish in the future.

Co-authorship network of co-authors of Jia-Yong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia-Yong Wu. A scholar is included among the top collaborators of Jia-Yong Wu 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 Jia-Yong Wu. Jia-Yong Wu 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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