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Hongzhi Wang
- Author ID
- o0000-0002-7521-2871
- ORCID
-
0000-0002-7521-2871
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Harbin Engineering University
- Pagerank
- 0.18853241
- Overall Rank
- 322 | 98.52%
- Paper Count
- 27
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 27 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 440 |
Efficient Subgraph Matching on Billion Node Graphs |
2012 |
VLDB |
59 |
0.00018235529 |
| 2,782 |
Graph Homomorphism Revisited for Graph Matching |
2010 |
VLDB |
15 |
8.0054142e-05 |
| 5,317 |
Cleanits: A Data Cleaning System for Industrial Time Series |
2019 |
VLDB |
9 |
6.1678012e-05 |
| 6,087 |
Efficient Processing of XML Path Queries Using the Disk-based F&B Index |
2005 |
VLDB |
4 |
5.8741996e-05 |
| 6,354 |
FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification |
2022 |
VLDB |
2 |
5.78729e-05 |
| 7,466 |
Set-based Similarity Search for Time Series |
2016 |
SIGMOD |
3 |
5.5047754e-05 |
| 7,655 |
Hash-based Subgraph Query Processing Method for Graph-structured XML Documents |
2008 |
VLDB |
2 |
5.4578901e-05 |
| 7,660 |
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection |
2025 |
SIGMOD |
2 |
5.4565877e-05 |
| 8,770 |
Assassin: an Automatic claSSificAtion system baSed on algorithm SelectIoN |
2021 |
VLDB |
1 |
5.2686976e-05 |
| 9,094 |
DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data |
2024 |
VLDB |
3 |
5.208561e-05 |
| 9,176 |
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting |
2024 |
SIGMOD |
3 |
5.200391e-05 |
| 9,742 |
Repairing Data through Regular Expressions |
2016 |
VLDB |
2 |
5.1183191e-05 |
| 9,912 |
Clean4TSDB: A Data Cleaning Tool for Time Series Databases |
2024 |
VLDB |
7 |
5.0983269e-05 |
| 9,913 |
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis |
2024 |
VLDB |
2 |
5.0983269e-05 |
| 9,914 |
MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data |
2024 |
VLDB |
5 |
5.0983269e-05 |
| 10,162 |
DIDS: Double Indices and Double Summarizations for Fast Similarity Search |
2024 |
VLDB |
1 |
5.0579479e-05 |
| 10,406 |
PRDCC: PRedictive Deterministic Concurrency Control under High Contention |
2027 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,762 |
The Case For Language Model Approximated LIKE Predicate |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,831 |
KDSelector: A Framework of Knowledge-Enhanced and Data-Efficient Selector Learning for Anomaly Detection Model Selection in Time Series |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,060 |
MAPPipe: A System for Bridging Efficiency and Quality in Data Preprocessing via Knowledge-Augmented Structural Pruning |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,389 |
FSMDTW: A Fast Index-free Subsequence Matching Algorithm for Dynamic Time Warping |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,413 |
UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow |
2025 |
VLDB |
2 |
4.9605343e-05 |
| 11,461 |
DemandClean: A Multi-Objective Learning Framework for Balancing Model Tolerance to Data Authenticity and Diversity |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,462 |
TARImpute: Task-Aware auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies |
2025 |
VLDB |
1 |
4.9605343e-05 |
| 11,493 |
bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 13,646 |
ECO-Hadoop: Energy Consumption Optimization System for Apache Hadoop |
2026 |
VLDB |
0 |
- |
| 13,722 |
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning |
2024 |
VLDB |
3 |
- |
Frequent Co-authors
Co-authored at least 5 papers.