Shuluo Ning

13 total papers · 552 total citations
5 papers, 170 citations indexed

About

Shuluo Ning is a scholar working on Otorhinolaryngology, Building and Construction and Surgery. According to data from OpenAlex, Shuluo Ning has authored 5 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Otorhinolaryngology, 2 papers in Building and Construction and 1 paper in Surgery. Recurrent topics in Shuluo Ning's work include Head and Neck Cancer Studies (2 papers), Building Energy and Comfort Optimization (2 papers) and Statistical Distribution Estimation and Applications (1 paper). Shuluo Ning is often cited by papers focused on Head and Neck Cancer Studies (2 papers), Building Energy and Comfort Optimization (2 papers) and Statistical Distribution Estimation and Applications (1 paper). Shuluo Ning collaborates with scholars based in United States, South Korea and Hong Kong. Shuluo Ning's co-authors include Tao Yuan, Suk Joo Bae, Way Kuo, Teresa Wu, Steven M. Weindling, Christopher P. Wood, Joseph M. Hoxworth, J. Ross Mitchell, Sara Ranjbar and Jing Li and has published in prestigious journals such as American Journal of Neuroradiology, Reliability Engineering & System Safety and Indoor Air.

In The Last Decade

Shuluo Ning

4 papers receiving 166 citations

Author Peers

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

Author						Papers	Cites
Shuluo Ning	71	52	37	35	33	5	170
Chujie Chen	28 0.4×	8 0.2×	1 0.0×	6 0.2×	8 0.2×	14	166
Sattar Ameri	8 0.1×	14 0.3×	3 0.1×	126 3.6×	6 0.2×	10	263
SyedAther Enam	7 0.1×	15 0.3×	16 0.4×	80 2.3×		7	283
László Viharos	2 0.0×	123 2.4×	6 0.2×	52 1.5×	29 0.9×	7	212
David Reeves	48 0.7×	10 0.2×	9 0.2×	67 1.9×		15	228
A. J. G. Schoofs	4 0.1×	25 0.5×		35 1.0×		11	260
Shengxuan Ding	21 0.3×	58 1.1×	1 0.0×	8 0.2×	1 0.0×	8	195
Yanning Zhou	9 0.1×	64 1.2×	1 0.0×	5 0.1×		11	228
Sharut Gupta	26 0.4×	96 1.8×		5 0.1×		5	206
Mohammad Azam Khan	1 0.0×	15 0.3×	48 1.3×	31 0.9×		11	166

Countries citing papers authored by Shuluo Ning

Since Specialization

Citations

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

Fields of papers citing papers by Shuluo Ning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuluo Ning

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