Shizhu He
- Artificial Intelligence top 0.5%
- Topic Modeling 25
- Natural Language Processing Techniques 14
- Advanced Graph Neural Networks 7
- Speech and dialogue systems 5
- Semantic Web and Ontologies 4
- Advanced Text Analysis Techniques 4
- Information Systems top 2%
- Expert finding and Q&A systems 2
- Computational Mathematics top 10%
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- Multimodal Machine Learning Applications 3
- Journals
- Knowledge-Based Systems (1 paper)IEEE Intelligent Systems (2 papers)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shizhu He
26 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 2.0k
- Management Science and Operations Research 389
- Information Systems 421
- Computational Mathematics 9
- Statistical and Nonlinear Physics 174
Countries citing papers authored by Shizhu He
This map shows the geographic impact of Shizhu He'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 Shizhu He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shizhu He more than expected).
Fields of papers citing papers by Shizhu He
This network shows the impact of papers produced by Shizhu He. 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 Shizhu He. The network helps show where Shizhu He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shizhu He, 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 | 7 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 29 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 21 | |
| 11 | 2019 | 14 | |
| 12 | IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations | 2017 | 2 |
| 13 | 2017 | 226 | |
| 14 | 2016 | 222 | |
| 15 | 2016 | 254 | |
| 16 | 2016 | 41 | |
| 17 | Knowledge Graph Embedding via Dynamic Mapping Matrixbreakdown → | 2015 | 1065 |
| 18 | 2015 | 20 | |
| 19 | IAMA results for OAEI 2013 | 2013 | 4 |
| 20 | Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization | 2013 | 18 |
About Shizhu He
Shizhu He is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design and Information Systems, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (14 papers), Advanced Graph Neural Networks (7 papers), Speech and dialogue systems (5 papers), Semantic Web and Ontologies (4 papers), Advanced Text Analysis Techniques (4 papers), Multimodal Machine Learning Applications (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Management Science and Operations Research (389 citations) and Information Systems (421 citations). Shizhu He has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kang Liu, Guoliang Ji, Jun Zhao, Liheng Xu, Jun Zhao, Siwei Lai, Yuanzhe Zhang, Yang Liu, Fang Liu and Shengping Liu. Their work appears in journals such as Knowledge-Based Systems, IEEE Intelligent Systems and BMC Medical Informatics and Decision Making.
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.