Zhiruo Wang
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Domain Adaptation and Few-Shot Learning
- Sentiment Analysis and Opinion Mining
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 8
- Advanced Text Analysis Techniques 1
- Text and Document Classification Technologies 1
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- Data Quality and Management 3
- Co-authors
- Qi JuPeng ZhouWeijie LiuZhe ZhaoPing WangGraham NeubigShi HanDongmei Zhang
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Zhiruo Wang
10 papers receiving 658 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 593
- Computer Vision and Pattern Recognition 182
- Health Informatics 6
- Management Science and Operations Research 45
- Information Systems 72
Countries citing papers authored by Zhiruo Wang
This map shows the geographic impact of Zhiruo Wang'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 Zhiruo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiruo Wang more than expected).
Fields of papers citing papers by Zhiruo Wang
This network shows the impact of papers produced by Zhiruo Wang. 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 Zhiruo Wang. The network helps show where Zhiruo Wang may publish in the future.
Co-authors
The 24 scholars most cited alongside Zhiruo Wang, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 20 | |
| 9 | 2020 | 173 | |
| 10 | Structure-aware Pre-training for Table Understanding with Tree-based Transformers. | 2020 | 5 |
| 11 | K-BERT: Enabling Language Representation with Knowledge Graph Hit paper breakdown → | 2020 | 437 |
About Zhiruo Wang
Zhiruo Wang is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Information Systems and Infectious Diseases, having authored 11 papers that have together received 670 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers), Data Quality and Management (3 papers), Software Engineering Research (2 papers), Advanced Text Analysis Techniques (1 paper), Multimodal Machine Learning Applications (1 paper), Handwritten Text Recognition Techniques (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (593 citations), Computer Vision and Pattern Recognition (182 citations), Health Informatics (6 citations), Management Science and Operations Research (45 citations) and Information Systems (72 citations). Zhiruo Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Qi Ju, Peng Zhou, Weijie Liu, Zhe Zhao, Ping Wang, Graham Neubig, Shi Han, Dongmei Zhang, Zhengbao Jiang and Daniel Fried. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.