Xiaoqiang Luo
- Artificial Intelligence top 1%
- Molecular Biology
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Salim RoukosMin TangHongyan JingAbe IttycheriahNanda KambhatlaImed ZitouniRadu FlorianEduard Hovy
- Topics
- Natural Language Processing Techniques (21 papers)Topic Modeling (15 papers)Text Readability and Simplification (6 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xiaoqiang Luo
28 papers receiving 946 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 1.0k
- Molecular Biology 116
- Information Systems 82
- Computer Vision and Pattern Recognition 72
- Management Science and Operations Research 66
Countries citing papers authored by Xiaoqiang Luo
This map shows the geographic impact of Xiaoqiang Luo'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 Xiaoqiang Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqiang Luo more than expected).
Fields of papers citing papers by Xiaoqiang Luo
This network shows the impact of papers produced by Xiaoqiang Luo. 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 Xiaoqiang Luo. The network helps show where Xiaoqiang Luo may publish in the future.
Co-authorship network of co-authors of Xiaoqiang Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqiang Luo. A scholar is included among the top collaborators of Xiaoqiang Luo 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 Xiaoqiang Luo. Xiaoqiang Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 31 | |
| 5 | 13 | |
| 6 | 106 | |
| 7 | 0 | |
| 8 | Enlisting the Ghost: Modeling Empty Categories for Machine Translation | 21 |
| 9 | Finding What Matters in Questions | 4 |
| 10 | A Statistical Tree Annotator and Its Applications | 3 |
| 11 | Learning to Predict Readability using Diverse Linguistic Features | 58 |
| 12 | Using Bagging and Boosting Techniques for Improving Coreference Resolution | 7 |
| 13 | 9 | |
| 14 | 4 | |
| 15 | Coreference or Not: A Twin Model for Coreference Resolution | 20 |
| 16 | 33 | |
| 17 | 26 | |
| 18 | 29 | |
| 19 | 2 | |
| 20 | 4 |
About Xiaoqiang Luo
Xiaoqiang Luo is a scholar working on Artificial Intelligence, Algebra and Number Theory and Geometry and Topology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Topic Modeling (15 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Management Science and Operations Research (66 citations) and Information Systems (82 citations). Xiaoqiang Luo has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Salim Roukos, Min Tang, Hongyan Jing, Abe Ittycheriah, Nanda Kambhatla, Imed Zitouni, Radu Florian, Eduard Hovy, Marta Vilar Recasens and Sameer Pradhan. Their work appears in journals such as IEEE Access, Materials Letters and Applied Mathematical Modelling.
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.