Fei Cheng

410 total citations
23 papers, 217 citations indexed

About

Fei Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Fei Cheng has authored 23 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Fei Cheng's work include Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Advanced Text Analysis Techniques (3 papers). Fei Cheng is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Advanced Text Analysis Techniques (3 papers). Fei Cheng collaborates with scholars based in Japan, China and United States. Fei Cheng's co-authors include Yusuke Miyao, Jiangsheng Yu, Sadao Kurohashi, Ichiro Kobayashi, Yūji Matsumoto, Kevin Duh, Masayuki Asahara, Qianying Liu, Daisuke Kawahara and Sujian Li and has published in prestigious journals such as Heliyon, Language Resources and Evaluation and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Fei Cheng

21 papers receiving 202 citations

Peers

Fei Cheng
Jinjie Ni Singapore
Duzhen Zhang China
Yubin Ge United States
Yufeng Diao China
Nouha Dziri United States
Xiuyi Chen China
Philip John Gorinski Sweden
Jamin Shin Hong Kong
Denis Paperno Italy
Jingye Li China
Jinjie Ni Singapore
Fei Cheng
Citations per year, relative to Fei Cheng Fei Cheng (= 1×) peers Jinjie Ni

Countries citing papers authored by Fei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Fei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Cheng. A scholar is included among the top collaborators of Fei Cheng 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 Fei Cheng. Fei Cheng 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
1.
Cheng, Fei, et al.. (2025). Between regulation and accessibility: how Chinese university students navigate global and domestic generative AI. Globalisation Societies and Education. 1–19.
2.
Yamamoto, Beverley Anne, et al.. (2025). Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review. Open Praxis. 17(1). 79–94. 7 indexed citations
3.
4.
Wang, Liqian, Fei Cheng, Junliang Liu, et al.. (2024). A lightweight CNN for multi-source infrared ship detection from unmanned marine vehicles. Heliyon. 10(4). e26229–e26229. 6 indexed citations
5.
Liu, Qianying, Sheng Li, Chenchen Ding, et al.. (2023). Hierarchical Softmax for End-To-End Low-Resource Multilingual Speech Recognition. 1–5. 3 indexed citations
6.
Cao, Xu, et al.. (2021). ChannelMix: A Mixed Sample Data Augmentation Strategy for Image Classification. 269–274. 1 indexed citations
7.
Liu, Qianying, et al.. (2021). RODA: Reverse Operation Based Data Augmentation for Solving Math Word Problems. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 1–11. 10 indexed citations
8.
Yada, Shuntaro, et al.. (2020). Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases. Language Resources and Evaluation. 4565–4572. 4 indexed citations
9.
Cheng, Fei, Masayuki Asahara, Ichiro Kobayashi, & Sadao Kurohashi. (2020). Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning. 1352–1357. 8 indexed citations
10.
Cheng, Fei, et al.. (2020). Dependency Enhanced Contextual Representations for Japanese Temporal Relation Classification.
11.
Song, Haiyue, et al.. (2020). Pre-training via Leveraging Assisting Languages for Neural Machine Translation. 279–285. 4 indexed citations
12.
Du, Yajun, et al.. (2019). Identification of Opinion Leaders by Using Social Network Embedding. 1 indexed citations
13.
Liu, Jun, et al.. (2018). Automatic Error Correction on Japanese Functional Expressions Using Character-based Neural Machine Translation. Waseda University Repository (Waseda University). 2 indexed citations
14.
Cheng, Fei & Yusuke Miyao. (2018). Inducing Temporal Relations from Time Anchor Annotation. 1833–1843. 2 indexed citations
15.
Cheng, Fei & Yusuke Miyao. (2017). Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths. 1–6. 71 indexed citations
16.
Cheng, Fei, Kevin Duh, & Yūji Matsumoto. (2015). Synthetic Word Parsing Improves Chinese Word Segmentation. 262–267. 4 indexed citations
17.
Cheng, Fei, Kevin Duh, & Yūji Matsumoto. (2014). Parsing Chinese Synthetic Words with a Character-based Dependency Model. Language Resources and Evaluation. 67–72. 2 indexed citations
18.
Cheng, Fei, et al.. (2010). Facial Expression Recognition in JAFFE Dataset Based on Gaussian Process Classification. IEEE Transactions on Neural Networks. 21(10). 1685–1690. 76 indexed citations
19.
Yu, Jiangsheng, et al.. (2010). Unsupervised text pattern learning using minimum description length. 23. 161–166. 2 indexed citations
20.
Cheng, Fei. (2009). Task Representation and Text Construction in Reading-to-Write. Journal of Pan-Pacific Association of Applied Linguistics. 13(2). 1–21. 5 indexed citations

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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