Da Li
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Papers in
-
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 3
- Algorithms and Data Compression 2
- Imbalanced Data Classification Techniques 2
-
- Network Security and Intrusion Detection 4
- Advanced Data Storage Technologies 4
- Co-authors
- Michela Becchi (7 shared papers)Ziliang Zong (1 shared paper)Xinbo Chen (1 shared paper)Shujuan Ji (2 shared papers)Qi Zhang (1 shared paper)Dickson K.W. Chiu (1 shared paper)Liqing Qiu (1 shared paper)Kenji Araki (2 shared papers)
- Journals
- Neurocomputing (1 paper)Expert Systems with Applications (1 paper)Actas Españolas de Psiquiatría (1 paper)Security and Communication Networks (1 paper)Journal of Signal Processing Systems (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Da Li
16 papers receiving 274 citations
Peers
Comparison fields: 5 of 71
- Hardware and Architecture 48
- Artificial Intelligence 143
- Information Systems 72
- Computer Vision and Pattern Recognition 60
- Computer Networks and Communications 56
Countries citing papers authored by Da Li
This map shows the geographic impact of Da 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 Da Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Li more than expected).
Fields of papers citing papers by Da Li
This network shows the impact of papers produced by Da 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 Da Li. The network helps show where Da Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 | 2016 | 116 | |
| 2 | 2018 | 65 | |
| 3 | 2013 | 29 | |
| 4 | 2016 | 17 | |
| 5 | 2015 | 13 | |
| 6 | 2018 | 11 | |
| 7 | 2012 | 7 | |
| 8 | Emoji-Aware Attention-based Bi-directional GRU Network Model for Chinese Sentiment Analysis. | 2019 | 4 |
| 9 | 2025 | 4 | |
| 10 | 2018 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2014 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2022 | 0 |
About Da Li
Da Li is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 285 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Network Security and Intrusion Detection (4 papers), Advanced Data Storage Technologies (4 papers), Spam and Phishing Detection (3 papers), Advanced Text Analysis Techniques (3 papers), Algorithms and Data Compression (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (48 citations), Artificial Intelligence (143 citations), Information Systems (72 citations), Computer Vision and Pattern Recognition (60 citations) and Computer Networks and Communications (56 citations). Da Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michela Becchi, Ziliang Zong, Xinbo Chen, Shujuan Ji, Qi Zhang, Dickson K.W. Chiu, Liqing Qiu, Kenji Araki, Rafał Rzepka and Michał Ptaszyński. Their work appears in journals such as Neurocomputing, Expert Systems with Applications, Actas Españolas de Psiquiatría, Security and Communication Networks and Journal of Signal Processing 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.