Haiying Feng

428 citations
20 papers · 226 indexed · h-index 7
Topics
Discourse Analysis in Language Studies (7 papers)Air Quality Monitoring and Forecasting (3 papers)EFL/ESL Teaching and Learning (3 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentScientific Reports

In The Last Decade

Haiying Feng

17 papers receiving 215 citations

Peers

Haiying Feng
Comparison fields: 5 of 60
  • Literature and Literary Theory 93
  • Language and Linguistics 56
  • Education 50
  • Developmental and Educational Psychology 42
  • Health, Toxicology and Mutagenesis 23
Replace Gisle Andersen with:
Gisle Andersen Norway
Анна
Raúl Alberto Mora Colombia
Luxin Yang China
Sri Wahyuningsih Indonesia
Kenneth Wolf United States
Michael Nelson United States
Craig Hamilton France
Haiying Feng relative to Gisle Andersen Norway Gisle Andersen's profile →
Citations per field
00.5×10×
Gisle Andersen · 1×
Citations per year

Countries citing papers authored by Haiying Feng

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Feng. A scholar is included among the top collaborators of Haiying Feng 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 Haiying Feng. Haiying Feng 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
#WorkIndexed citations
1 0
2 2
3 7
4 21
5 1
6 30
7 5
8 3
9 1
10 15
11 5
12 5
13
Culture and identity on intercultural business requests: A genre-based comparative study
0
14 4
15 61
16 1
17 38
18 20
19
A corpus-based study of research grant proposal abstracts
6
20
RESEARCH GRANT PROPOSALS IN CHINA: A CONTRASTIVE GENRE-BASED STUDY
1

About Haiying Feng

Haiying Feng is a scholar working on Literature and Literary Theory, Language and Linguistics and Linguistics and Language, having authored 20 papers that have together received 226 indexed citations. Recurring topics across this work include Discourse Analysis in Language Studies (7 papers), Air Quality Monitoring and Forecasting (3 papers) and EFL/ESL Teaching and Learning (3 papers). The work is most often cited by research in Literature and Literary Theory (93 citations), Language and Linguistics (56 citations) and Developmental and Educational Psychology (42 citations). Haiying Feng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Gulbahar H. Beckett, Haixia Feng, Qi Wang, Jian Li, Tiane Donahue, Mary Jane Curry, Federico Navarro, Dèsirée Motta-Roth, Natalia Ávila Reyes and Victor R. Squires. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

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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