Ji Xin
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech Recognition and Synthesis
- Machine Learning and Data Classification
-
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Topic Modeling 13
- Natural Language Processing Techniques 9
- Machine Learning and Data Classification 2
- Domain Adaptation and Few-Shot Learning 2
- Explainable Artificial Intelligence (XAI) 2
- Adversarial Robustness in Machine Learning 2
-
- Multimodal Machine Learning Applications 4
- Co-authors
- Jimmy Lin (13 shared papers)Yaoliang Yu (6 shared papers)Raphael Tang (7 shared papers)Jaejun Lee (2 shared papers)Maosong Sun (2 shared papers)Zhiyuan Liu (2 shared papers)Yankai Lin (1 shared paper)Rodrigo Nogueira (1 shared paper)
- Journals
- CLEF (Working Notes) (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Ji Xin
17 papers receiving 467 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 383
- Computer Vision and Pattern Recognition 180
- Management Science and Operations Research 30
- Information Systems 48
- Computational Mathematics 1
Countries citing papers authored by Ji Xin
This map shows the geographic impact of Ji Xin'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 Ji Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Xin more than expected).
Fields of papers citing papers by Ji Xin
This network shows the impact of papers produced by Ji Xin. 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 Ji Xin. The network helps show where Ji Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Xin, 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 | 2020 | 208 | |
| 2 | 2021 | 67 | |
| 3 | 2018 | 46 | |
| 4 | 2020 | 38 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 20 | |
| 7 | 2018 | 19 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 3 | |
| 14 | Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens. | 2021 | 2 |
| 15 | 2020 | 2 | |
| 16 | Serverless BM25 Search and BERT Reranking. | 2021 | 2 |
| 17 | 2019 | 1 |
About Ji Xin
Ji Xin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Automotive Engineering, having authored 17 papers that have together received 485 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (4 papers), Machine Learning and Data Classification (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Software Engineering Research (1 paper). The work is most often cited by research in Artificial Intelligence (383 citations), Computer Vision and Pattern Recognition (180 citations), Management Science and Operations Research (30 citations), Information Systems (48 citations) and Computational Mathematics (1 citation). Ji Xin has collaborated with scholars based in Canada, China and Germany. Frequent co-authors include Jimmy Lin, Yaoliang Yu, Raphael Tang, Jaejun Lee, Maosong Sun, Zhiyuan Liu, Yankai Lin, Rodrigo Nogueira, Hao Zhu and Xu Han. Their work appears in journals such as CLEF (Working Notes), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 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.