Yaochen Deng
Impact in
- Water Science and Technology top 10%
- Adsorption and biosorption for pollutant removal
- Accounting top 10%
- Financial Distress and Bankruptcy Prediction
Papers in
-
- Second Language Acquisition and Learning 7
-
- Natural Language Processing Techniques 5
- Text Readability and Simplification 2
- Co-authors
- Aihua Shen (1 shared paper)Dilin Liu (12 shared papers)Xiaocheng Liu (1 shared paper)Lin Tang (1 shared paper)Lin Luo (1 shared paper)Jiachao Zhang (1 shared paper)Yaoyu Zhou (1 shared paper)Ya Pang (1 shared paper)
- Journals
- Language Teaching Research (1 paper)Applied Linguistics (1 paper)Journal of Hazardous Materials (1 paper)Computer Assisted Language Learning (1 paper)International Journal of Lexicography (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Yaochen Deng
15 papers receiving 390 citations
Peers
Comparison fields: 5 of 77
- Water Science and Technology 123
- Accounting 74
- Artificial Intelligence 184
- Health Information Management 13
- Pollution 29
Countries citing papers authored by Yaochen Deng
This map shows the geographic impact of Yaochen Deng'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 Yaochen Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaochen Deng more than expected).
Fields of papers citing papers by Yaochen Deng
This network shows the impact of papers produced by Yaochen Deng. 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 Yaochen Deng. The network helps show where Yaochen Deng may publish in the future.
Co-authors
The 14 scholars most cited alongside Yaochen Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 179 | |
| 2 | 2007 | 161 | |
| 3 | 2019 | 23 | |
| 4 | 2020 | 12 | |
| 5 | A Quantitative Linguistic Study on the Relationship between Word Length and Word Frequency | 2013 | 9 |
| 6 | 2020 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2016 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2026 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2009 | 1 | |
| 16 | A SECOPETS-Based Study on Speech Errors in Chinese EFL Learners' Spoken English | 2009 | 0 |
| 17 | 2026 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Yaochen Deng
Yaochen Deng is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Language and Linguistics, Literature and Literary Theory and Experimental and Cognitive Psychology, having authored 20 papers that have together received 417 indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (7 papers), Natural Language Processing Techniques (5 papers), Discourse Analysis in Language Studies (3 papers), Text Readability and Simplification (2 papers), Lexicography and Language Studies (1 paper), Education, Achievement, and Giftedness (1 paper), Second Language Learning and Teaching (1 paper) and Language, Discourse, Communication Strategies (1 paper). The work is most often cited by research in Water Science and Technology (123 citations), Accounting (74 citations), Artificial Intelligence (184 citations), Health Information Management (13 citations) and Pollution (29 citations). Yaochen Deng has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Aihua Shen, Dilin Liu, Xiaocheng Liu, Lin Tang, Lin Luo, Jiachao Zhang, Yaoyu Zhou, Ya Pang, Guangming Zeng and Fengfeng Zhang. Their work appears in journals such as Language Teaching Research, Applied Linguistics, Journal of Hazardous Materials, Computer Assisted Language Learning and International Journal of Lexicography.
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.