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Dong Xie
- Author ID
- o0000-0003-4857-900X
- ORCID
-
0000-0003-4857-900X
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Pennsylvania State University
- Pagerank
- 0.11048916
- Overall Rank
- 603 | 97.22%
- Paper Count
- 14
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing all 14 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 1,178 |
Simba: Efficient In-Memory Spatial Analytics |
2016 |
SIGMOD |
26 |
0.00011627256 |
| 2,023 |
Distributed Trajectory Similarity Search |
2017 |
VLDB |
16 |
9.167612e-05 |
| 2,456 |
Towards Practical Oblivious Join |
2022 |
SIGMOD |
13 |
8.4350645e-05 |
| 5,580 |
Oblivious RAM: A Dissection and Experimental Evaluation |
2016 |
VLDB |
4 |
6.0750335e-05 |
| 5,755 |
SSDs Striking Back: The Storage Jungle and Its Implications on Persistent Indexes |
2022 |
CIDR |
10 |
6.0030957e-05 |
| 5,821 |
Spatial Independent Range Sampling |
2021 |
SIGMOD |
5 |
5.9804424e-05 |
| 7,279 |
FishStore: Fast Ingestion and Indexing of Raw Data |
2019 |
VLDB |
2 |
5.5651373e-05 |
| 8,953 |
Practical Dynamic Extension for Sampling Indexes |
2023 |
SIGMOD |
3 |
5.2517412e-05 |
| 8,961 |
FishStore: Faster Ingestion with Subset Hashing |
2019 |
SIGMOD |
3 |
5.2490978e-05 |
| 9,018 |
Low-Latency Transaction Scheduling via Userspace Interrupts: Why Wait or Yield When You Can Preempt? |
2025 |
SIGMOD |
3 |
5.2362693e-05 |
| 9,159 |
Towards Systematic Index Dynamization |
2024 |
VLDB |
2 |
5.2161634e-05 |
| 10,235 |
Analytics Are Heavy. The DBMS Is Busy. When Will My Mission-Critical Transaction Start Running? |
2025 |
VLDB |
1 |
5.0547568e-05 |
| 10,317 |
AB-tree: Index for Concurrent Random Sampling and Updates |
2022 |
VLDB |
3 |
5.0363234e-05 |
| 11,800 |
Approximate Queries over Concurrent Updates |
2023 |
VLDB |
0 |
4.9769913e-05 |
Frequent Co-authors
Co-authored at least 5 papers.