Fei Xia

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

Fei Xia

208 papers receiving 4.1k citations

Hit Papers

Code as Po...2952005202620122019100200300400

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
Fei Xia relative to Yun Lin China Yun Lin's profile →
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-authorship network

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
#Work
1 20243
2 20249
3 20242
4 20241
5 202438
6 20248
7 2023101
8 202333
9 202317
10
Code as Policies: Language Model Programs for Embodied Controlbreakdown →
2023295
11 20233
12 20220
13 20224
14 20195
15
Annotating and Detecting Medical Events in Clinical Notes
20161
16
Enhanced and Portable Dependency Projection Algorithms Using Interlinear Glossed Text
20134
17 20101
18
Parsing, Projecting & Prototypes: Repurposing Linguistic Data on the Web
20092
19
CORRELATION BETWEEN TENSILE STRENGTH AND SURFACE MORPHOLOGY OF SiC FILAMENT
19902
20
A Calculation Method for the Lifting Potential Flow around Yawed Surface-Piercing 3-D Bodies
19863

About Fei Xia

Fei Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Pharmaceutical Science and General Engineering, having authored 223 papers that have together received 4.4k indexed citations. Recurring topics across this work include Topic Modeling (56 papers), Natural Language Processing Techniques (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, Yi Lü, Wei Wu, Jianping Qi, Xin Niu and Weili Zhao. 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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