Zhao Li
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
- Information Systems top 0.5%
Papers in
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- Advanced Graph Neural Networks 62
- Topic Modeling 36
- Anomaly Detection Techniques and Applications 23
- Text and Document Classification Technologies 20
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- Speech and Audio Processing 22
Zhao Li
407 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Artificial Intelligence 4.3k
- Information Systems 1.3k
- Signal Processing 575
- Computer Vision and Pattern Recognition 1.1k
- Computer Networks and Communications 1.1k
Countries citing papers authored by Zhao Li
This map shows the geographic impact of Zhao Li'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 Zhao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhao Li more than expected).
Fields of papers citing papers by Zhao Li
This network shows the impact of papers produced by Zhao Li. 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 Zhao Li. The network helps show where Zhao Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhao Li, 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 | 2025 | 1 | |
| 3 | 2025 | 5 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 10 | |
| 9 | BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation Hit paper breakdown → | 2023 | 80 |
| 10 | 2023 | 4 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 31 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 24 | |
| 17 | 2020 | 61 | |
| 18 | 2019 | 1 | |
| 19 | 2019 | 33 | |
| 20 | Attention-based LSTM for Aspect-level Sentiment Classification Hit paper breakdown → | 2016 | 1507 |
About Zhao Li
Zhao Li is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 450 papers that have together received 7.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (62 papers), Complex Network Analysis Techniques (38 papers), Topic Modeling (36 papers), Recommender Systems and Techniques (33 papers), Anomaly Detection Techniques and Applications (23 papers), Speech and Audio Processing (22 papers), Spam and Phishing Detection (21 papers) and Text and Document Classification Technologies (20 papers). The work is most often cited by research in Artificial Intelligence (4.3k citations), Information Systems (1.3k citations), Signal Processing (575 citations), Computer Vision and Pattern Recognition (1.1k citations) and Computer Networks and Communications (1.1k citations). Zhao Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Minlie Huang, Xiaoyan Zhu, Yequan Wang, Xindong Wu, Chuan Zhou, Jianliang Gao, Jun Gao, Shiqiang Yang, Shirui Pan and Jian-Guang Luo. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, IEEE Access and Knowledge-Based Systems.
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.