Shaodian Zhang
- Artificial Intelligence top 2%
- Topic Modeling 16
- Natural Language Processing Techniques 12
- Text and Document Classification Technologies 3
- Semantic Web and Ontologies 2
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education 2
- Communication top 10%
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 2
- Information Systems top 5%
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- Biomedical Text Mining and Ontologies 10
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- Digital Mental Health Interventions 2
- Co-authors
- Noémie ElhadadMing ZhouXiaohua LiuFuru WeiErin O’Carroll BantumJason E. OwenTian KangSuzanne Bakken
- Journals
- Molecules (1 paper)Journal of the American Medical Informatics Association (2 papers)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shaodian Zhang
25 papers receiving 853 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 667
- Health Informatics 21
- Communication 42
- Health Information Management 28
- Information Systems 123
Countries citing papers authored by Shaodian Zhang
This map shows the geographic impact of Shaodian Zhang'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 Shaodian Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaodian Zhang more than expected).
Fields of papers citing papers by Shaodian Zhang
This network shows the impact of papers produced by Shaodian Zhang. 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 Shaodian Zhang. The network helps show where Shaodian Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaodian Zhang, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2019 | 11 | |
| 7 | 2019 | 10 | |
| 8 | 2019 | 22 | |
| 9 | 2018 | 52 | |
| 10 | Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text | 2018 | 9 |
| 11 | 2017 | 16 | |
| 12 | 2017 | 40 | |
| 13 | 2017 | 76 | |
| 14 | 2016 | 18 | |
| 15 | 2016 | 30 | |
| 16 | Characterizing the sublanguage of online breast cancer forums for medications, symptoms, and emotions. | 2014 | 20 |
| 17 | Does sustained participation in an online health community affect sentiment? | 2014 | 22 |
| 18 | 2013 | 158 | |
| 19 | Recognizing Named Entities in Tweets | 2011 | 257 |
| 20 | Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection | 2010 | 3 |
About Shaodian Zhang
Shaodian Zhang is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 26 papers that have together received 910 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (12 papers), Biomedical Text Mining and Ontologies (10 papers), Text and Document Classification Technologies (3 papers), Artificial Intelligence in Healthcare (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Semantic Web and Ontologies (2 papers) and Digital Mental Health Interventions (2 papers). The work is most often cited by research in Artificial Intelligence (667 citations), Health Informatics (21 citations) and Communication (42 citations). Shaodian Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Noémie Elhadad, Ming Zhou, Xiaohua Liu, Furu Wei, Erin O’Carroll Bantum, Jason E. Owen, Tian Kang, Suzanne Bakken, Gregory W. Hruby and Chunhua Weng. Their work appears in journals such as Molecules, Journal of the American Medical Informatics Association and Computer Methods and Programs in Biomedicine.
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.