Qiaoqiao She
- Artificial Intelligence top 5%
- Topic Modeling 10
- Natural Language Processing Techniques 9
- Text and Document Classification Technologies 2
- Adversarial Robustness in Machine Learning 2
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- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 1
- Information Systems top 10%
- Information Retrieval and Search Behavior 1
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- Computational and Text Analysis Methods 1
- Co-authors
- Haifeng WangYajuan LyuHua WuXinyan XiaoJing LiuShan DouSujian LiYang An
- Journals
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Qiaoqiao She
11 papers receiving 433 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 419
- Computer Vision and Pattern Recognition 160
- Information Systems 55
- Management Science and Operations Research 23
- General Social Sciences 4
Countries citing papers authored by Qiaoqiao She
This map shows the geographic impact of Qiaoqiao She'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 Qiaoqiao She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiaoqiao She more than expected).
Fields of papers citing papers by Qiaoqiao She
This network shows the impact of papers produced by Qiaoqiao She. 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 Qiaoqiao She. The network helps show where Qiaoqiao She may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qiaoqiao She, 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 | 2024 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 99 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 80 | |
| 11 | 2019 | 95 | |
| 12 | 2018 | 127 | |
| 13 | Large-Scale Image Annotation via Random Forest Based Label Propagation | 2012 | 2 |
About Qiaoqiao She
Qiaoqiao She is a scholar working on Artificial Intelligence, General Social Sciences and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 455 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (3 papers), Text and Document Classification Technologies (2 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Information Retrieval and Search Behavior (1 paper) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in Artificial Intelligence (419 citations), Computer Vision and Pattern Recognition (160 citations) and Information Systems (55 citations). Qiaoqiao She has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Haifeng Wang, Yajuan Lyu, Hua Wu, Xinyan Xiao, Jing Liu, Shan Dou, Sujian Li, Jing Liu, Yang An and Yingqi Qu. Their work appears in journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Findings of the Association for Computational Linguistics: ACL 2022 and Proceedings of the AAAI Conference on Artificial Intelligence.
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.