Yanfang Su

566 citations
7 papers · 342 indexed · 1 hit paper · h-index 4
Topics
Text Readability and Simplification (5 papers)Natural Language Processing Techniques (3 papers)Interpreting and Communication in Healthcare (2 papers)
Partner nations
Hong KongChina

In The Last Decade

Yanfang Su

5 papers receiving 327 citations

Hit Papers

Collaborating with ChatGPT in argumentative writing class...2023202620242025202350100150200250

Peers

Yanfang Su
Comparison fields: 5 of 42
  • Artificial Intelligence 185
  • Health Informatics 133
  • Computer Science Applications 98
  • Developmental and Educational Psychology 87
  • Education 78
Replace Waverly Tseng with:
Waverly Tseng United States
Da Yan China
Yun Lin China
Diyenti Rusdin Indonesia
John Maurice Gayed Japan
Darwin Darwin Indonesia
Masaki Eguchi United States
Abdu Al-Kadi Yemen
Inda Indrawati Indonesia
Wagdi Rashad Ali Bin-Hady Yemen
Yanfang Su relative to Waverly Tseng United States Waverly Tseng's profile →
Citations per field
00.5×2.5×
Waverly Tseng · 1×
Citations per year

Countries citing papers authored by Yanfang Su

Since Specialization
Citations

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

Fields of papers citing papers by Yanfang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanfang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yanfang Su. A scholar is included among the top collaborators of Yanfang Su 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 Yanfang Su. Yanfang Su 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
#WorkIndexed citations
1 0
2 6
3 0
4 2
5
Collaborating with ChatGPT in argumentative writing classroomsbreakdown →
288
6 15
7 31

About Yanfang Su

Yanfang Su is a scholar working on Health Informatics, Literature and Literary Theory and Developmental and Educational Psychology, having authored 7 papers that have together received 342 indexed citations. Recurring topics across this work include Text Readability and Simplification (5 papers), Natural Language Processing Techniques (3 papers) and Interpreting and Communication in Healthcare (2 papers). The work is most often cited by research in Health Informatics (133 citations), Computer Science Applications (98 citations) and Developmental and Educational Psychology (87 citations). Yanfang Su has collaborated with scholars based in Hong Kong and China. Frequent co-authors include Chun Lai, Yun Lin, Tan Jin, Jun Lei, Kanglong Liu and John Lee. Their work appears in journals such as System, Education and Information Technologies and Reading and Writing.

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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