Jialu Liu
- Computational Mathematics top 5%
-
- Face and Expression Recognition 3
- Robotic Path Planning Algorithms 2
- Advanced Image and Video Retrieval Techniques 2
- Artificial Intelligence top 2%
- Topic Modeling 7
- Natural Language Processing Techniques 7
- Advanced Text Analysis Techniques 4
- Advanced Graph Neural Networks 3
- Urban Studies top 2%
-
- Web Data Mining and Analysis 3
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)Computers in Biology and Medicine (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- United StatesChinaJamaica
In The Last Decade
Jialu Liu
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computational Mathematics 27
- Computer Vision and Pattern Recognition 530
- Artificial Intelligence 812
- Urban Studies 102
- Statistical and Nonlinear Physics 161
Countries citing papers authored by Jialu Liu
This map shows the geographic impact of Jialu Liu'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 Jialu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialu Liu more than expected).
Fields of papers citing papers by Jialu Liu
This network shows the impact of papers produced by Jialu Liu. 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 Jialu Liu. The network helps show where Jialu Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jialu Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 25 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 29 | |
| 8 | 2018 | 186 | |
| 9 | 2017 | 57 | |
| 10 | 2017 | 5 | |
| 11 | 2016 | 61 | |
| 12 | 2016 | 11 | |
| 13 | 2016 | 39 | |
| 14 | 2015 | 121 | |
| 15 | Multi-View Clustering via Joint Nonnegative Matrix Factorizationbreakdown → | 2013 | 645 |
| 16 | 2013 | 9 | |
| 17 | 2013 | 23 | |
| 18 | 2012 | 31 | |
| 19 | Feature Extracting and Matching Algorithm for Lunar Image Based on Image Enhencement | 2010 | 0 |
| 20 | Extraction and Matching of SIFT Feature for Simulated Lunar Environment | 2009 | 1 |
About Jialu Liu
Jialu Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers), Advanced Text Analysis Techniques (4 papers), Web Data Mining and Analysis (3 papers), Face and Expression Recognition (3 papers), Advanced Graph Neural Networks (3 papers), Robotic Path Planning Algorithms (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computational Mathematics (27 citations), Computer Vision and Pattern Recognition (530 citations) and Artificial Intelligence (812 citations). Jialu Liu has collaborated with scholars based in United States, China and Jamaica. Frequent co-authors include Jiawei Han, Chi Wang, Jing Gao, Jingbo Shang, Xiang Ren, Meng Jiang, Clare R. Voss, Deng Cai, Xiaofei He and Huan Gui. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Computers in Biology and Medicine, ACS Applied Materials & Interfaces, Engineering Applications of Artificial Intelligence and European Journal of Operational Research.
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.