Jingfang Xu
- Artificial Intelligence top 2%
- Topic Modeling 18
- Natural Language Processing Techniques 16
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- Multimodal Machine Learning Applications 11
- Information Systems top 5%
- Expert finding and Q&A systems 4
- Web Data Mining and Analysis 4
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- Carbon Nanotubes in Composites 6
- Graphene research and applications 4
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- Nanotechnology research and applications 4
Jingfang Xu
39 papers receiving 988 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 815
- Computer Vision and Pattern Recognition 283
- Information Systems 142
- Human-Computer Interaction 18
- Signal Processing 35
Countries citing papers authored by Jingfang Xu
This map shows the geographic impact of Jingfang 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 Jingfang Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingfang Xu more than expected).
Fields of papers citing papers by Jingfang Xu
This network shows the impact of papers produced by Jingfang 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 Jingfang Xu. The network helps show where Jingfang Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingfang 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 | 2022 | 40 | |
| 2 | 2021 | 15 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 17 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 39 | |
| 9 | 2018 | 130 | |
| 10 | 2018 | 42 | |
| 11 | Commonsense Knowledge Aware Conversation Generation with Graph Attentionbreakdown → | 2018 | 317 |
| 12 | 2018 | 75 | |
| 13 | 2017 | 8 | |
| 14 | 2017 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2011 | 1 | |
| 17 | 2005 | 2 | |
| 18 | 2003 | 1 | |
| 19 | 2002 | 5 | |
| 20 | 1999 | 4 |
About Jingfang Xu
Jingfang Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Materials Chemistry and Signal Processing, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers), Multimodal Machine Learning Applications (11 papers), Carbon Nanotubes in Composites (6 papers), Graphene research and applications (4 papers), Expert finding and Q&A systems (4 papers), Nanotechnology research and applications (4 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Artificial Intelligence (815 citations), Computer Vision and Pattern Recognition (283 citations), Information Systems (142 citations), Human-Computer Interaction (18 citations) and Signal Processing (35 citations). Jingfang Xu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Minlie Huang, Xiaoyan Zhu, Haizhou Zhao, Hao Zhou, Tom Young, Feifei Zhai, Jiacheng Zhang, Maosong Sun, Huanbo Luan and Yang Liu. Their work appears in journals such as Chinese Physics Letters, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Artificial Intelligence in Medicine, Surface Review and Letters and Information Sciences.
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.