Angela Fan

5.0k total citations · 1 hit paper
47 papers, 1.7k citations indexed

About

Angela Fan is a scholar working on Public Health, Environmental and Occupational Health, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Angela Fan has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 16 papers in Artificial Intelligence and 7 papers in General Health Professions. Recurrent topics in Angela Fan's work include Topic Modeling (14 papers), Innovations in Medical Education (14 papers) and Natural Language Processing Techniques (14 papers). Angela Fan is often cited by papers focused on Topic Modeling (14 papers), Innovations in Medical Education (14 papers) and Natural Language Processing Techniques (14 papers). Angela Fan collaborates with scholars based in United States, Taiwan and China. Angela Fan's co-authors include Mike Lewis, Yann Dauphin, Michael Auli, David Grangier, Russell O Kosik, Stephen L. Buka, William W. Eaton, Vishrav Chaudhary, Naman Goyal and Peng‐Jen Chen and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The British Journal of Psychiatry.

In The Last Decade

Angela Fan

46 papers receiving 1.6k citations

Hit Papers

Hierarchical Neural Story Generation 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Angela Fan
Comparison fields: 5 of 125
  • Artificial Intelligence 1.0k
  • Computer Vision and Pattern Recognition 300
  • Public Health, Environmental and Occupational Health 197
  • Emergency Medical Services 129
  • General Health Professions 105
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Citations per field, relative to Angela Fan
Angela Fan · 1×
Citations per year, relative to Angela Fan
Angela Fan · 1×

Countries citing papers authored by Angela Fan

Since Specialization
Citations

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

Fields of papers citing papers by Angela Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Fan

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 1
4 7
5
Beyond English-Centric Multilingual Machine Translation
11
6 12
7 15
8
Hierarchical Neural Story Generation breakdown →
586
9
Generative Question Answering: Learning to Answer the Whole Question.
28
10 47
11
Wizard of Wikipedia: Knowledge-Powered Conversational Agents
94
12
Promoting Domain-Specific Terms in Topic Models with Informative Priors.
1
13 1
14 19
15 24
16 8
17 14
18 30
19 129
20 1

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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