LiWu Chang
About
In The Last Decade
LiWu Chang
27 papers receiving 624 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 557
- Computer Networks and Communications 328
- Signal Processing 144
- Computer Vision and Pattern Recognition 102
- Information Systems 85
Countries citing papers authored by LiWu Chang
This map shows the geographic impact of LiWu Chang'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 LiWu Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LiWu Chang more than expected).
Fields of papers citing papers by LiWu Chang
This network shows the impact of papers produced by LiWu Chang. 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 LiWu Chang. The network helps show where LiWu Chang may publish in the future.
Co-authorship network of co-authors of LiWu Chang
This figure shows the co-authorship network connecting the top 25 collaborators of LiWu Chang. A scholar is included among the top collaborators of LiWu Chang 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 LiWu Chang. LiWu Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 27 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | Privacy Preserving K-nearest Neighbor Classification | 31 |
| 6 | Privacy-Preserving Decision Tree Classification over Horizontally Partitioned Data | 8 |
| 7 | 4 | |
| 8 | Privacy-Preserving Sequential Pattern Mining Over Vertically Partitioned Data | 3 |
| 9 | Privacy-Preserving Support Vector Machines Learning | 3 |
| 10 | 44 | |
| 11 | Bayesian Network Induction with Incomplete Private Data | 1 |
| 12 | Privacy-Preserving Collaborative Sequential Pattern Mining | 8 |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | Bayesian Methods to the Database Inference Problem | 3 |
| 19 | 31 | |
| 20 | A Testbed For Experiments In Adaptive Memory Retrieval and Indexing | 1 |
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.