Waverly Tseng

758 total citations · 2 hit papers
6 papers, 348 citations indexed

About

Waverly Tseng is a scholar working on Artificial Intelligence, Education and Developmental and Educational Psychology. According to data from OpenAlex, Waverly Tseng has authored 6 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Education and 3 papers in Developmental and Educational Psychology. Recurrent topics in Waverly Tseng's work include Topic Modeling (4 papers), Text Readability and Simplification (4 papers) and Writing and Handwriting Education (3 papers). Waverly Tseng is often cited by papers focused on Topic Modeling (4 papers), Text Readability and Simplification (4 papers) and Writing and Handwriting Education (3 papers). Waverly Tseng collaborates with scholars based in United States and South Korea. Waverly Tseng's co-authors include Mark Warschauer, Tamara Tate, Thomas J. Webster, Soobin Yim, Sharin Jacob, Qian Du, Jacob Steiss, Youngsun Moon, Carol Booth Olson and Michael Hébert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Learning and Instruction and Journal of Second Language Writing.

In The Last Decade

Waverly Tseng

6 papers receiving 326 citations

Hit Papers

Comparing the quality of human and ChatGPT feedback of st... 2023 2026 2024 2025 2024 2023 50 100 150

Peers

Waverly Tseng
Comparison fields: 5 of 51
  • Artificial Intelligence 150
  • Health Informatics 108
  • Computer Science Applications 105
  • Education 76
  • Developmental and Educational Psychology 72
Replace Yanfang Su with:
Yanfang Su Hong Kong
Da Yan China
Diyenti Rusdin Indonesia
Masaki Eguchi United States
Darwin Darwin Indonesia
Sharin Jacob United States
Yun Lin China
Amr M. Mohamed Saudi Arabia
Silvia Pokrivčáková Slovakia
Svetlana Koltovskaia United States
Yanfang Su Hong Kong View profile →
Citations per field, relative to Waverly Tseng
Waverly Tseng · 1×
Citations per year, relative to Waverly Tseng
Waverly Tseng · 1×

Countries citing papers authored by Waverly Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Waverly Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waverly Tseng

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 2
2
Comparing the quality of human and ChatGPT feedback of students’ writing breakdown →
153
3 7
4 35
5 50
6
The affordances and contradictions of AI-generated text for writers of english as a second or foreign language breakdown →
101

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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