Yuqing Wu
- Computer Networks and Communications top 1%
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Co-authors
- Jignesh M. PatelH. V. JagadishShurug Al-KhalifaDivesh SrivastavaNick KoudasHuiliang WangLaks V. S. LakshmananTianqi Liu
- Topics
- Advanced Database Systems and Queries (32 papers)Data Management and Algorithms (31 papers)Semantic Web and Ontologies (25 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Yuqing Wu
110 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 139
- Computer Networks and Communications 987
- Signal Processing 805
- Artificial Intelligence 764
- Electrical and Electronic Engineering 343
- Materials Chemistry 272
Countries citing papers authored by Yuqing Wu
This map shows the geographic impact of Yuqing 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 Yuqing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuqing Wu more than expected).
Fields of papers citing papers by Yuqing Wu
This network shows the impact of papers produced by Yuqing 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 Yuqing Wu. The network helps show where Yuqing Wu may publish in the future.
Co-authorship network of co-authors of Yuqing Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuqing Wu. A scholar is included among the top collaborators of Yuqing 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 Yuqing Wu. Yuqing 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 | 3 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 40 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 15 | |
| 12 | 33 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | Improvement of Energy Resolutions for Planar TlBr Detectors Using the Digital Pulse Processing Method | 1 |
| 16 | Querying XML in Timber. | 2 |
| 17 | Trie Indexes for Efficient XML Query Evaluation | 6 |
| 18 | 1 | |
| 19 | Surface Enhanced Raman Spectroscopic Studies of the Monolayer of Cysteine on Silver Mirror | 2 |
| 20 | Review - Query Optimization for XML. | 0 |
About Yuqing Wu
Yuqing Wu is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 124 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (32 papers), Data Management and Algorithms (31 papers) and Semantic Web and Ontologies (25 papers). The work is most often cited by research in Signal Processing (805 citations), Computer Networks and Communications (987 citations) and Artificial Intelligence (764 citations). Yuqing Wu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Jignesh M. Patel, H. V. Jagadish, Shurug Al-Khalifa, Divesh Srivastava, Nick Koudas, Huiliang Wang, H. V. Jagadish, Laks V. S. Lakshmanan, Tianqi Liu and Jiangping Xu. Their work appears in journals such as ACS Nano, Applied Physics Letters and Journal of Applied Physics.
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.