Felicia Ng

526 total citations
7 papers, 294 citations indexed

About

Felicia Ng is a scholar working on Communication, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Felicia Ng has authored 7 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Communication, 2 papers in Artificial Intelligence and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Felicia Ng's work include Knowledge Management and Sharing (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Topic Modeling (2 papers). Felicia Ng is often cited by papers focused on Knowledge Management and Sharing (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Topic Modeling (2 papers). Felicia Ng collaborates with scholars based in United States, Switzerland and Israel. Felicia Ng's co-authors include Nicholas B. Turk‐Browne, Nicholas C. Hindy, Geoff Kaufman, Joseph Seering, Zheng Yao, Laura Dabbish, Steven P. Dow, Joel Chan, Lixiu Yu and Robert E. Kraut and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Felicia Ng

7 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felicia Ng United States 5 144 40 38 35 33 7 294
Joaquín Navajas Argentina 11 295 2.0× 92 2.3× 41 1.1× 39 1.1× 84 2.5× 29 498
Lev Tankelevitch United Kingdom 8 134 0.9× 12 0.3× 77 2.0× 40 1.1× 16 0.5× 21 416
Steffen Steinert Netherlands 11 160 1.1× 95 2.4× 38 1.0× 68 1.9× 34 1.0× 21 372
Deborah Maxwell United Kingdom 9 50 0.3× 56 1.4× 12 0.3× 29 0.8× 37 1.1× 18 290
Patrick Brundell United Kingdom 11 48 0.3× 72 1.8× 15 0.4× 41 1.2× 9 0.3× 27 367
Allen Coin United States 5 64 0.4× 59 1.5× 38 1.0× 14 0.4× 20 0.6× 11 223
Julie Keane United States 11 147 1.0× 64 1.6× 6 0.2× 32 0.9× 10 0.3× 18 413
Janet Hanson United Kingdom 9 64 0.4× 23 0.6× 8 0.2× 39 1.1× 14 0.4× 20 412
Sadia Riaz United Arab Emirates 10 110 0.8× 36 0.9× 10 0.3× 33 0.9× 80 2.4× 47 366
Xingyu Liu United States 8 57 0.4× 19 0.5× 44 1.2× 14 0.4× 27 0.8× 20 236

Countries citing papers authored by Felicia Ng

Since Specialization
Citations

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

Fields of papers citing papers by Felicia Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felicia Ng

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

All Works

7 of 7 papers shown
1.
Lifshitz‐Assaf, Hila, Maha Shaikh, Youngjin Yoo, et al.. (2022). The Future of Work is Here: Algorithmic Automation, Augmentation and the Way AI is Changing Work. Academy of Management Proceedings. 2022(1). 1 indexed citations
2.
Ng, Felicia, Jina Suh, & Gonzalo Ramos. (2020). Understanding and Supporting Knowledge Decomposition for Machine Teaching. 1183–1194. 8 indexed citations
3.
Kittur, Aniket, Lixiu Yu, Tom Hope, et al.. (2019). Scaling up analogical innovation with crowds and AI. Proceedings of the National Academy of Sciences. 116(6). 1870–1877. 55 indexed citations
4.
Ramos, Gonzalo, et al.. (2019). Do Machine Teachers Dream of Algorithms. 1 indexed citations
5.
Seering, Joseph, Felicia Ng, Zheng Yao, & Geoff Kaufman. (2018). Applications of Social Identity Theory to Research and Design in Computer-Supported Cooperative Work. Proceedings of the ACM on Human-Computer Interaction. 2(CSCW). 1–34. 41 indexed citations
6.
Ng, Felicia, et al.. (2017). Fruitful Feedback. 1024–1034. 38 indexed citations
7.
Hindy, Nicholas C., Felicia Ng, & Nicholas B. Turk‐Browne. (2016). Linking pattern completion in the hippocampus to predictive coding in visual cortex. Nature Neuroscience. 19(5). 665–667. 150 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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