Dezhao Song
- Artificial Intelligence top 5%
- Management Science and Operations Research top 10%
- Information Systems top 10%
- Epidemiology
- Political Science and International Relations
- Co-authors
- Jeff HeflinFrank SchilderAndrew VoldCui TaoHéctor Muñoz‐AvilaChristopher G. ChuteEdward KimXiaolei Huang
- Topics
- Semantic Web and Ontologies (14 papers)Topic Modeling (9 papers)Data Quality and Management (9 papers)
- Journals
- IEEE AccessIEEE Transactions on Medical ImagingIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Dezhao Song
22 papers receiving 254 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 221
- Management Science and Operations Research 50
- Information Systems 46
- Epidemiology 44
- Political Science and International Relations 40
Countries citing papers authored by Dezhao Song
This map shows the geographic impact of Dezhao Song'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 Dezhao Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dezhao Song more than expected).
Fields of papers citing papers by Dezhao Song
This network shows the impact of papers produced by Dezhao Song. 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 Dezhao Song. The network helps show where Dezhao Song may publish in the future.
Co-authorship network of co-authors of Dezhao Song
This figure shows the co-authorship network connecting the top 25 collaborators of Dezhao Song. A scholar is included among the top collaborators of Dezhao Song 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 Dezhao Song. Dezhao Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 47 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 37 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | TR Discover: A Natural Language Question Answering System for Interlinked Datasets. | 1 |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | 12 | |
| 17 | A Pruning Based Approach for Scalable Entity Coreference | 3 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 5 |
About Dezhao Song
Dezhao Song is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems, having authored 23 papers that have together received 271 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (14 papers), Topic Modeling (9 papers) and Data Quality and Management (9 papers). The work is most often cited by research in Artificial Intelligence (221 citations), Management Science and Operations Research (50 citations) and Information Systems (46 citations). Dezhao Song has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jeff Heflin, Frank Schilder, Andrew Vold, Cui Tao, Héctor Muñoz‐Avila, Christopher G. Chute, Edward Kim, Xiaolei Huang, L. Rodney Long and Sameer Antani. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging and IEEE Transactions on Knowledge and Data Engineering.
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.