Zhe Wu
- Organic Chemistry top 10%
- Artificial Intelligence top 10%
- Inorganic Chemistry top 10%
- Molecular Biology
- Computer Networks and Communications top 10%
- Co-authors
- SonBinh T. NguyenJoseph W. ZillerRobert H. GrubbsJeffrey L. PetersenRichard F. JordanEugene Inseok ChongSouripriya DasJagannathan Srinivasan
- Topics
- Semantic Web and Ontologies (7 papers)Advanced Database Systems and Queries (5 papers)Graph Theory and Algorithms (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Zhe Wu
21 papers receiving 455 citations
Peers
Comparison fields: 5 of 62
- Organic Chemistry 307
- Artificial Intelligence 121
- Inorganic Chemistry 103
- Molecular Biology 94
- Computer Networks and Communications 75
Countries citing papers authored by Zhe Wu
This map shows the geographic impact of Zhe Wu'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 Zhe Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhe Wu more than expected).
Fields of papers citing papers by Zhe Wu
This network shows the impact of papers produced by Zhe Wu. 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 Zhe Wu. The network helps show where Zhe Wu may publish in the future.
Co-authorship network of co-authors of Zhe Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhe Wu. A scholar is included among the top collaborators of Zhe Wu 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 Zhe Wu. Zhe Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | Leveraging Knowledge Graph and DeepNER to Improve UoM Handling in Search. | 1 |
| 8 | 13 | |
| 9 | Efficient Application of Complex Graph Analytics on Very Large Real World RDF Datasets. | 1 |
| 10 | 21 | |
| 11 | 15 | |
| 12 | 17 | |
| 13 | Proceedings of the 2011 joint international conference on The Semantic Web | 1 |
| 14 | 7 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 123 | |
| 20 | 170 |
About Zhe Wu
Zhe Wu is a scholar working on Information Systems and Management, Pharmacology and Artificial Intelligence, having authored 22 papers that have together received 482 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (5 papers) and Graph Theory and Algorithms (4 papers). The work is most often cited by research in Organic Chemistry (307 citations), Process Chemistry and Technology (23 citations) and Inorganic Chemistry (103 citations). Zhe Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include SonBinh T. Nguyen, Joseph W. Ziller, Robert H. Grubbs, Jeffrey L. Petersen, Richard F. Jordan, Eugene Inseok Chong, Souripriya Das, Jagannathan Srinivasan, Vladimir Kolovski and George Eadon. Their work appears in journals such as Journal of the American Chemical Society, Macromolecules and Scientific Reports.
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.