Ying Jing

10 total papers · 536 total citations
5 papers, 353 citations indexed

About

Ying Jing is a scholar working on Computational Theory and Mathematics, Molecular Biology and Strategy and Management. According to data from OpenAlex, Ying Jing has authored 5 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Theory and Mathematics, 1 paper in Molecular Biology and 1 paper in Strategy and Management. Recurrent topics in Ying Jing's work include Topological and Geometric Data Analysis (2 papers), stochastic dynamics and bifurcation (1 paper) and Computational Drug Discovery Methods (1 paper). Ying Jing is often cited by papers focused on Topological and Geometric Data Analysis (2 papers), stochastic dynamics and bifurcation (1 paper) and Computational Drug Discovery Methods (1 paper). Ying Jing collaborates with scholars based in China. Ying Jing's co-authors include Youguo Wang and Wei Chen and has published in prestigious journals such as Chaos Solitons & Fractals, IEEE Transactions on Information Forensics and Security and Communications in Nonlinear Science and Numerical Simulation.

In The Last Decade

Ying Jing

3 papers receiving 343 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Ying Jing	270	82	70	42	36	5	353
Ramamurti Shankar	182 0.7×	66 0.8×	79 1.1×	33 0.8×	25 0.7×	6	340
Jiangyu Cui	181 0.7×	101 1.2×	64 0.9×	25 0.6×	16 0.4×	12	323
Tony Leggett	324 1.2×	119 1.5×	64 0.9×	13 0.3×	25 0.7×	8	395
Yaakov Y. Fein	262 1.0×	96 1.2×	37 0.5×	64 1.5×	30 0.8×	16	310
David L. Falkoff	216 0.8×	96 1.2×	83 1.2×	6 0.1×	21 0.6×	10	326
Karthik Siva	182 0.7×	73 0.9×	25 0.4×	105 2.5×	13 0.4×	12	336
C. H. Manney	310 1.1×	59 0.7×	29 0.4×	13 0.3×	22 0.6×	5	339
Uwe von Lüpke	300 1.1×	195 2.4×	32 0.5×	21 0.5×	50 1.4×	10	358
Jared Rovny	223 0.8×	49 0.6×	109 1.6×	56 1.3×	16 0.4×	10	297
W. Weizel	238 0.9×	27 0.3×	60 0.9×	22 0.5×	57 1.6×	8	293

Countries citing papers authored by Ying Jing

Since Specialization

Citations

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

Fields of papers citing papers by Ying Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Jing

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