Shizhu He
- Artificial Intelligence top 1%
- Information Systems top 2%
- Health Informatics top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Topics
- Topic Modeling (32 papers)Natural Language Processing Techniques (30 papers)Multimodal Machine Learning Applications (9 papers)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Shizhu He
35 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 1.4k
- Information Systems 262
- Health Informatics 245
- Computer Vision and Pattern Recognition 170
- Management Science and Operations Research 133
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 of co-authors of Shizhu He
This figure shows the co-authorship network connecting the top 25 collaborators of Shizhu He. A scholar is included among the top collaborators of Shizhu He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shizhu He. Shizhu He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 98 | |
| 15 | Pattern-revising Enhanced Simple Question Answering over Knowledge Bases | 29 |
| 16 | Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanismbreakdown → | 299 |
| 17 | 229 | |
| 18 | 10 | |
| 19 | CASIA@V2: A MLN-based Question Answering System over Linked Data | 22 |
| 20 | CASIA@QALD-3: A Question Answering System over Linked Data | 15 |
About Shizhu He
Shizhu He is a scholar working on Health Informatics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Natural Language Processing Techniques (30 papers) and Multimodal Machine Learning Applications (9 papers). The work is most often cited by research in Health Informatics (245 citations), Artificial Intelligence (1.4k citations) and Computer Science Applications (80 citations). Shizhu He has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Kang Liu, Jun Zhao, Qing‐Long Han, Siqi Sun, Jingping Liu, Tianyu Wu, Yang Tang, Xiangrong Zeng, Daojian Zeng and Yuanzhe Zhang. Their work appears in journals such as Applied Sciences, Lecture notes in computer science and IEEE/CAA Journal of Automatica Sinica.
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.