Guangwei Xu
- Artificial Intelligence top 5%
- Topic Modeling 11
- Natural Language Processing Techniques 10
- Text and Document Classification Technologies 4
- Advanced Text Analysis Techniques 2
- Text Readability and Simplification 2
- Information Systems top 10%
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- Multimodal Machine Learning Applications 2
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- Advanced Data Storage Technologies 2
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- Shoulder Injury and Treatment 2
- Journals
- Scientific Reports (1 paper)Foot & Ankle International (1 paper)BMC Musculoskeletal Disorders (1 paper)
- Partner nations
- ChinaUnited StatesCayman Islands
In The Last Decade
Guangwei Xu
18 papers receiving 357 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 330
- Management Science and Operations Research 31
- Information Systems 46
- Computer Vision and Pattern Recognition 40
- Signal Processing 12
Countries citing papers authored by Guangwei Xu
This map shows the geographic impact of Guangwei Xu'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 Guangwei Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangwei Xu more than expected).
Fields of papers citing papers by Guangwei Xu
This network shows the impact of papers produced by Guangwei Xu. 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 Guangwei Xu. The network helps show where Guangwei Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guangwei Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 43 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 122 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 0 | |
| 14 | 2020 | 92 | |
| 15 | 2020 | 16 | |
| 16 | 2019 | 10 | |
| 17 | 2018 | 6 | |
| 18 | Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task. | 2017 | 20 |
| 19 | 2013 | 1 | |
| 20 | Hybrid Routing Algorithm Based on Mobile Ad hoc Network | 2007 | 2 |
About Guangwei Xu
Guangwei Xu is a scholar working on Artificial Intelligence, Orthopedics and Sports Medicine and Computer Science Applications, having authored 21 papers that have together received 371 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Text and Document Classification Technologies (4 papers), Advanced Text Analysis Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Text Readability and Simplification (2 papers), Shoulder Injury and Treatment (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (330 citations), Management Science and Operations Research (31 citations) and Information Systems (46 citations). Guangwei Xu has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Pengjun Xie, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Dingkun Long, Yulin Chen, Xiaobin Wang, Xu Han, Jie Zhou and Haoyu Zhang. Their work appears in journals such as Scientific Reports, Foot & Ankle International and BMC Musculoskeletal Disorders.
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.