Fei Xia

10.3k citations
223 papers · 4.4k · 2 hit papers · h-index 36

Impact in

Papers in

Fei Xia

208 papers receiving 4.1k citations

Fei Xia's Hit Papers

Code as Policies: Language Model Programs for Embodied Control 2023 · 295 citations
2950+7+14Years since publication100200300400

Peers

Fei Xia
Comparison fields: 5 of 189
  • Artificial Intelligence 1.9k
  • Pharmaceutical Science 294
  • Computer Vision and Pattern Recognition 893
  • Media Technology 148
  • Control and Systems Engineering 377
Replace Yun Lin with:
Yun Lin China
Xiaotong Shen United States
Shuhui Wang China
Yang Li China
Bai Li China
Huanhuan Chen China
Qi Xuan China
Xudong Cao China
Yuting Su China
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Citations per field
00.5×10×15×18.4×
Yun Lin · 1×
Citations per year

Countries citing papers authored by Fei Xia

Since Specialization
Citations

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

Fields of papers citing papers by Fei Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fei Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Xia Line = papers co-authored together Fei Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Penn Chinese TreeBank: Phrase structure annotation of a large corpus
Hit paper breakdown →
2005452
2
Code as Policies: Language Model Programs for Embodied Control
Hit paper breakdown →
2023295
3 2016160
4 2021104
5 2015103
6 2023101
7 201796
8 202194
9
Developing Guidelines and Ensuring Consistency for Chinese Text Annotation
200089
10 202382
11 200171
12 201770
13 201766
14 202163
15 201762
16
The Part-Of-Speech Tagging Guidelines for the Penn Chinese Treebank (3.0)
200060
17 201259
18 201658
19 201757
20 202056

About Fei Xia

Fei Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 223 papers that have together received 4.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (56 papers), Topic Modeling (56 papers), Multimodal Machine Learning Applications (17 papers), Genomics and Phylogenetic Studies (12 papers), Robot Manipulation and Learning (11 papers), Biomedical Text Mining and Ontologies (11 papers), Speech and dialogue systems (10 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Pharmaceutical Science (294 citations), Computer Vision and Pattern Recognition (893 citations), Media Technology (148 citations) and Control and Systems Engineering (377 citations). Fei Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Martha Palmer, Nianwen Xue, Fu-Dong Chiou, Yong Dou, Brian Ichter, Wei Wu, Yi Lü, Jianping Qi, Xin Niu and Xiaochun Dong. Their work appears in journals such as Language Resources and Evaluation, Journal of Energy Storage, New Journal of Chemistry, IEEE Access and Nanoscale.

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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