Kangning Wang

95 total papers · 476 total citations
51 papers, 286 citations indexed

About

Kangning Wang is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Kangning Wang has authored 51 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Kangning Wang's work include Statistical Methods and Inference (31 papers), Advanced Statistical Methods and Models (21 papers) and Animal Nutrition and Physiology (7 papers). Kangning Wang is often cited by papers focused on Statistical Methods and Inference (31 papers), Advanced Statistical Methods and Models (21 papers) and Animal Nutrition and Physiology (7 papers). Kangning Wang collaborates with scholars based in China, Saudi Arabia and Türkiye. Kangning Wang's co-authors include Lu Lin, Shaomin Li, Hongwei Wang, Fayadh Alenezi, Xiaofei Sun, Lu Lin, Bo Zhang, Yihuai Lou, Danping Cao and Kemal Polat and has published in prestigious journals such as The FASEB Journal, Chemical Engineering Journal and Expert Systems with Applications.

In The Last Decade

Kangning Wang

41 papers receiving 277 citations

Author Peers

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

Author						Papers	Cites
Kangning Wang	144	73	39	29	26	51	286
Nikolay V. Smirnov	41 0.3×	48 0.7×	33 0.8×	17 0.6×	11 0.4×	32	325
Zuofeng Shang	180 1.3×	87 1.2×	29 0.7×	8 0.3×	13 0.5×	39	303
Martine Ceberio	29 0.2×	95 1.3×	29 0.7×	27 0.9×	15 0.6×	61	276
Pierre Alquier	143 1.0×	164 2.2×	31 0.8×	7 0.2×	49 1.9×	33	289
Sandeep Kumar	31 0.2×	84 1.2×	18 0.5×	24 0.8×	22 0.8×	29	212
Stanislav Minsker	141 1.0×	111 1.5×	15 0.4×	24 0.8×	57 2.2×	21	276
Yuehan Yang	113 0.8×	53 0.7×	25 0.6×	10 0.3×	36 1.4×	40	328
Yannis G. Yatracos	134 0.9×	85 1.2×	26 0.7×	13 0.4×	18 0.7×	34	230
Joong‐Ho Won	70 0.5×	57 0.8×	14 0.4×	7 0.2×	35 1.3×	37	275
Michael A. Kouritzin	62 0.4×	114 1.6×	19 0.5×	29 1.0×	12 0.5×	57	295

Countries citing papers authored by Kangning Wang

Since Specialization

Citations

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

Fields of papers citing papers by Kangning Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangning Wang

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