Shenlong Wang

8 total papers · 681 total citations
6 papers, 471 citations indexed

About

Shenlong Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Shenlong Wang has authored 6 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Shenlong Wang's work include 3D Shape Modeling and Analysis (3 papers), Advanced Vision and Imaging (2 papers) and Electrocatalysts for Energy Conversion (2 papers). Shenlong Wang is often cited by papers focused on 3D Shape Modeling and Analysis (3 papers), Advanced Vision and Imaging (2 papers) and Electrocatalysts for Energy Conversion (2 papers). Shenlong Wang collaborates with scholars based in United States, Canada and Singapore. Shenlong Wang's co-authors include Haolin Tang, Mu Pan, San Ping Jiang, Raquel Urtasun, Jerry Liu, Kelvin Wong, Richard S. Zemel, David Duvenaud, Wei-Chiu Ma and William L. Hamilton and has published in prestigious journals such as Journal of Power Sources, Electrochimica Acta and arXiv (Cornell University).

In The Last Decade

Shenlong Wang

6 papers receiving 463 citations

Author Peers

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

Author						Papers	Cites
Shenlong Wang	202	181	153	139	96	6	471
Siqi Chai	55 0.3×	94 0.5×	186 1.2×	10 0.1×	11 0.1×	6	513
Sivabalan Manivasagam	18 0.1×	22 0.1×	206 1.3×	64 0.5×	74 0.8×	12	505
Gaoqiang Kang	141 0.7×	54 0.3×	107 0.7×	34 0.2×	2 0.0×	9	520
Xinchi Zhou	160 0.8×	7 0.0×	250 1.6×	104 0.7×	19 0.2×	17	510
Wei-Chen Li	180 0.9×	112 0.6×	132 0.9×	64 0.5×		14	411
Changkyu Kim	92 0.5×	28 0.2×	20 0.1×	35 0.3×	14 0.1×	21	509
Jiahao Shi	162 0.8×	41 0.2×	41 0.3×	118 0.8×		14	532
Donguk Kang	127 0.6×	39 0.2×	55 0.4×	7 0.1×		8	464
Daniel Larner	154 0.8×	119 0.7×	84 0.5×	2 0.0×	6 0.1×	13	506
Bin Zhang	143 0.7×	45 0.2×	9 0.1×	28 0.2×		19	540

Countries citing papers authored by Shenlong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shenlong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenlong Wang

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