Feifei Zhai

2.4k total citations · 1 hit paper
22 papers, 963 citations indexed

About

Feifei Zhai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Feifei Zhai has authored 22 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Feifei Zhai's work include Natural Language Processing Techniques (20 papers), Topic Modeling (19 papers) and Multimodal Machine Learning Applications (4 papers). Feifei Zhai is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (19 papers) and Multimodal Machine Learning Applications (4 papers). Feifei Zhai collaborates with scholars based in China, United States and Japan. Feifei Zhai's co-authors include Bowen Zhou, Ramesh Nallapati, Jingfang Xu, Chengqing Zong, Jiajun Zhang, Yang Liu, Jiacheng Zhang, Maosong Sun, Huanbo Luan and M. Zhang and has published in prestigious journals such as BMJ Open, IEEE Transactions on Audio Speech and Language Processing and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Feifei Zhai

22 papers receiving 910 citations

Hit Papers

SummaRuNNer: A Recurrent Neural Network Based Sequence Mo... 2017 2026 2020 2023 2017 200 400 600

Peers

Feifei Zhai
Comparison fields: 5 of 51
  • Artificial Intelligence 915
  • Computer Vision and Pattern Recognition 179
  • Information Systems 69
  • Molecular Biology 40
  • Signal Processing 21
Replace Leyang Cui with:
Leyang Cui China
Jingjing Xu China
Ronak Pradeep Canada
Minjoon Seo South Korea
Yi Luan United States
Xinya Du United States
Kira Griffitt United States
Lei Sha China
Noureddine En-Nahnahi Morocco
Haoran Li China
Leyang Cui China View profile →
Citations per field, relative to Feifei Zhai
Feifei Zhai · 1×
Citations per year, relative to Feifei Zhai
Feifei Zhai · 1×

Countries citing papers authored by Feifei Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifei Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Feifei Zhai. A scholar is included among the top collaborators of Feifei Zhai 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 Feifei Zhai. Feifei Zhai 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
# Work Indexed citations
1 1
2 4
3 1
4 1
5 15
6 2
7 19
8 4
9 39
10 130
11 1
12 63
13
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents breakdown →
625
14 3
15 3
16
Handling Ambiguities of Bilingual Predicate-Argument Structures for Statistical Machine Translation
7
17 2
18
Tree-based Translation without using Parse Trees
6
19
Machine Translation by Modeling Predicate-Argument Structure Transformation
11
20
Augmenting String-to-Tree Translation Models with Fuzzy Use of Source-side Syntax
16

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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