Weiwei Ding

35 total papers · 513 total citations
22 papers, 370 citations indexed

About

Weiwei Ding is a scholar working on Public Health, Environmental and Occupational Health, Organic Chemistry and Applied Mathematics. According to data from OpenAlex, Weiwei Ding has authored 22 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 8 papers in Organic Chemistry and 8 papers in Applied Mathematics. Recurrent topics in Weiwei Ding's work include Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Nonlinear Differential Equations Analysis (8 papers) and Differential Equations and Numerical Methods (4 papers). Weiwei Ding is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Nonlinear Differential Equations Analysis (8 papers) and Differential Equations and Numerical Methods (4 papers). Weiwei Ding collaborates with scholars based in China, France and Japan. Weiwei Ding's co-authors include Jiaping Lin, Shaoliang Lin, Zhi‐Yong Han, François Hamel, Xiao‐Qiang Zhao, Xing Liang, Liangshun Zhang, Jing Meng, Yu Zhou and Hiroshi Matano and has published in prestigious journals such as The Journal of Physical Chemistry B, Polymer and The Journal of Organic Chemistry.

In The Last Decade

Weiwei Ding

21 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Weiwei Ding	189	102	56	52	50	22	370
Leela Rakesh	101 0.5×	20 0.2×	6 0.1×	58 1.1×	35 0.7×	32	385
Young-Sun Cho	58 0.3×	19 0.2×	33 0.6×	7 0.1×	26 0.5×	33	338
Zhibo Zhu	119 0.6×	22 0.2×	3 0.1×	18 0.3×	121 2.4×	36	445
Mohit Tripathi	241 1.3×	59 0.6×		4 0.1×	65 1.3×	20	382
Pratiksha Singh	179 0.9×	34 0.3×		54 1.0×	93 1.9×	20	405
Yogesh Kumar	175 0.9×	46 0.5×		33 0.6×	57 1.1×	24	358
George Ε. Magoulas	161 0.9×	27 0.3×		24 0.5×	141 2.8×	29	353
Weiwei Su	19 0.1×	5 0.0×	2 0.0×	40 0.8×	67 1.3×	22	392
Marcos V. Palmeira‐Mello	216 1.1×	72 0.7×		6 0.1×	70 1.4×	28	391
Xueming Liu	98 0.5×	4 0.0×		63 1.2×	156 3.1×	23	408

Countries citing papers authored by Weiwei Ding

Since Specialization

Citations

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

Fields of papers citing papers by Weiwei Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Ding

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