Dingcheng Li
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Machine Learning in Healthcare
- Toxicology top 5%
Papers in
-
- Topic Modeling 37
- Natural Language Processing Techniques 17
- Semantic Web and Ontologies 9
- Domain Adaptation and Few-Shot Learning 6
- Machine Learning in Healthcare 6
- Text and Document Classification Technologies 5
-
- Biomedical Text Mining and Ontologies 29
- Co-authors
- Ping Li (7 shared papers)Jingyuan Zhang (4 shared papers)Xiao Huang (1 shared paper)Hongfang Liu (27 shared papers)Jianling Wang (1 shared paper)Huan Liu (2 shared papers)Kaize Ding (2 shared papers)Jundong Li (1 shared paper)
- Journals
- Journal of Biomedical Informatics (2 papers)IEEE Transactions on NanoBioscience (2 papers)Journal of the American Medical Informatics Association (2 papers)Scientific Reports (1 paper)BioData Mining (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Dingcheng Li
65 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 877
- Toxicology 69
- Health Informatics 20
- Health Information Management 53
- Management Science and Operations Research 102
Countries citing papers authored by Dingcheng Li
This map shows the geographic impact of Dingcheng Li'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 Dingcheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingcheng Li more than expected).
Fields of papers citing papers by Dingcheng Li
This network shows the impact of papers produced by Dingcheng Li. 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 Dingcheng Li. The network helps show where Dingcheng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingcheng Li, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Knowledge Graph Embedding Based Question Answering Hit paper breakdown → | 2019 | 325 |
| 2 | 2020 | 128 | |
| 3 | 2016 | 102 | |
| 4 | 2008 | 66 | |
| 5 | 2016 | 54 | |
| 6 | 2016 | 52 | |
| 7 | 2015 | 41 | |
| 8 | 2013 | 39 | |
| 9 | 2014 | 30 | |
| 10 | 2012 | 28 | |
| 11 | 2016 | 27 | |
| 12 | Identification of Patients with Family History of Pancreatic Cancer--Investigation of an NLP System Portability. | 2015 | 27 |
| 13 | Towards a semantic lexicon for clinical natural language processing. | 2012 | 26 |
| 14 | 2015 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2012 | 22 | |
| 17 | 2015 | 21 | |
| 18 | A Text-Mining Framework for Supporting Systematic Reviews. | 2016 | 19 |
| 19 | 2020 | 17 | |
| 20 | 2019 | 16 |
About Dingcheng Li
Dingcheng Li is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Computational Theory and Mathematics, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (37 papers), Biomedical Text Mining and Ontologies (29 papers), Natural Language Processing Techniques (17 papers), Semantic Web and Ontologies (9 papers), Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Machine Learning in Healthcare (6 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Artificial Intelligence (877 citations), Toxicology (69 citations), Health Informatics (20 citations), Health Information Management (53 citations) and Management Science and Operations Research (102 citations). Dingcheng Li has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ping Li, Jingyuan Zhang, Xiao Huang, Hongfang Liu, Jianling Wang, Huan Liu, Kaize Ding, Jundong Li, Sunghwan Sohn and Guergana Savova. Their work appears in journals such as Journal of Biomedical Informatics, IEEE Transactions on NanoBioscience, Journal of the American Medical Informatics Association, Scientific Reports and BioData Mining.
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.