Lei Sha
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
- Information Systems top 5%
Papers in
-
- Topic Modeling 22
- Natural Language Processing Techniques 13
- Adversarial Robustness in Machine Learning 5
- Speech and dialogue systems 5
- Advanced Text Analysis Techniques 5
- Explainable Artificial Intelligence (XAI) 3
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- Expert finding and Q&A systems 2
- Co-authors
- Baobao Chang (14 shared papers)Zhifang Sui (12 shared papers)Sujian Li (10 shared papers)Feng Qian (4 shared papers)Tianyu Liu (2 shared papers)Kexiang Wang (1 shared paper)Houfeng Wang (4 shared papers)Tingsong Jiang (4 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Artificial Intelligence (1 paper)Interspeech 2022 (1 paper)International Conference on Computational Linguistics (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (7 papers)
- Partner nations
- ChinaUnited KingdomAustria
In The Last Decade
Lei Sha
30 papers receiving 734 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 730
- Information Systems 169
- Computer Vision and Pattern Recognition 147
- Management Science and Operations Research 73
- General Social Sciences 13
Countries citing papers authored by Lei Sha
This map shows the geographic impact of Lei Sha'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 Lei Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Sha more than expected).
Fields of papers citing papers by Lei Sha
This network shows the impact of papers produced by Lei Sha. 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 Lei Sha. The network helps show where Lei Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Sha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 150 | |
| 2 | 2018 | 137 | |
| 3 | 2016 | 67 | |
| 4 | 2017 | 64 | |
| 5 | 2018 | 60 | |
| 6 | Towards Time-Aware Knowledge Graph Completion | 2016 | 47 |
| 7 | Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition | 2016 | 36 |
| 8 | 2016 | 28 | |
| 9 | 2018 | 27 | |
| 10 | 2020 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2017 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2015 | 16 | |
| 15 | 2021 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2002 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 4 |
About Lei Sha
Lei Sha is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computer Networks and Communications, having authored 37 papers that have together received 775 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (13 papers), Adversarial Robustness in Machine Learning (5 papers), Speech and dialogue systems (5 papers), Advanced Text Analysis Techniques (5 papers), Multimodal Machine Learning Applications (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Artificial Intelligence (730 citations), Information Systems (169 citations), Computer Vision and Pattern Recognition (147 citations), Management Science and Operations Research (73 citations) and General Social Sciences (13 citations). Lei Sha has collaborated with scholars based in China, United Kingdom and Austria. Frequent co-authors include Baobao Chang, Zhifang Sui, Sujian Li, Feng Qian, Tianyu Liu, Kexiang Wang, Houfeng Wang, Tingsong Jiang, Tao Ge and Xiaodong Zhang. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Artificial Intelligence, Interspeech 2022, International Conference on Computational Linguistics 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.