Emma Wang

928 total citations
2 papers, 6 citations indexed

About

Emma Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Aerospace Engineering. According to data from OpenAlex, Emma Wang has authored 2 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Computational Theory and Mathematics and 1 paper in Aerospace Engineering. Recurrent topics in Emma Wang's work include X-ray Diffraction in Crystallography (1 paper), Robotics and Sensor-Based Localization (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Emma Wang is often cited by papers focused on X-ray Diffraction in Crystallography (1 paper), Robotics and Sensor-Based Localization (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Emma Wang collaborates with scholars based in China. Emma Wang's co-authors include Jianhua Zhang and S. K. Deb and has published in prestigious journals such as SHILAP Revista de lepidopterología.

In The Last Decade

Emma Wang

2 papers receiving 6 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emma Wang China 2 4 4 2 2 1 2 6
Z. Wu China 4 4 1.0× 3 0.8× 1 0.5× 1 1.0× 10 17
ChiWon Sung South Korea 2 3 0.8× 5 1.3× 4 2.0× 6 7
H. Liang China 3 2 0.5× 6 1.5× 3 1.5× 3 1.5× 9 14
H. S. Chen China 2 3 0.8× 3 0.8× 3 10
Stephen Welby United States 2 3 0.8× 2 0.5× 2 1.0× 1 1.0× 5 9
Y. Cai France 2 2 0.5× 4 1.0× 2 1.0× 3 6
K. Kershaw Switzerland 3 3 0.8× 3 0.8× 1 0.5× 3 12
Alex Stoken United States 2 2 0.5× 4 1.0× 3 5

Countries citing papers authored by Emma Wang

Since Specialization
Citations

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

Fields of papers citing papers by Emma Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Wang. A scholar is included among the top collaborators of Emma 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 Emma Wang. Emma Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Wang, Emma, et al.. (2024). Evaluation of machine learning models for the accelerated prediction of density functional theory calculated 19F chemical shifts based on local atomic environments. SHILAP Revista de lepidopterología. 2(2). 100078–100078. 2 indexed citations
2.
Zhang, Jianhua, et al.. (2017). Fast initialization for feature-based monocular slam. 58. 2119–2123. 4 indexed citations

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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