Da Li

458 citations
17 papers · 280 · h-index 7

Impact in

Papers in

    • Sentiment Analysis and Opinion Mining 5
    • Advanced Text Analysis Techniques 3
    • Imbalanced Data Classification Techniques 2
    • Advanced Data Storage Technologies 4
    • Network Security and Intrusion Detection 3
    • Distributed and Parallel Computing Systems 2

Da Li

16 papers receiving 269 citations

Peers

Da Li
Comparison fields: 5 of 69
  • Hardware and Architecture 47
  • Artificial Intelligence 142
  • Information Systems 72
  • Computer Vision and Pattern Recognition 59
  • Computer Networks and Communications 56
Replace Elliott Wen with:
Elliott Wen New Zealand
Adrian Dabrowski Austria
Priscila M. V. Lima Brazil
Roel Peeters Belgium
Yucheng Li China
Gregory T. Byrd United States
Pratiksha Thaker United States
Anthony Ndirango United States
Da Li relative to Elliott Wen New Zealand Elliott Wen's profile →
Citations per field
00.5×6.5×
Elliott Wen · 1×
Citations per year

Countries citing papers authored by Da Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Da Li Line = papers co-authored together Da Li links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2016112
2 201866
3 201329
4 201617
5 201513
6 201811
7 20127
8
Emoji-Aware Attention-based Bi-directional GRU Network Model for Chinese Sentiment Analysis.
20194
9 20254
10 20184
11 20173
12 20143
13 20152
14 20212
15 20212
16 20251
17 20220

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 17 papers that have together received 280 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Advanced Data Storage Technologies (4 papers), Advanced Text Analysis Techniques (3 papers), Network Security and Intrusion Detection (3 papers), Spam and Phishing Detection (2 papers), Distributed and Parallel Computing Systems (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (47 citations), Artificial Intelligence (142 citations), Information Systems (72 citations), Computer Vision and Pattern Recognition (59 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, Xinbo Chen, Ziliang Zong, Shujuan Ji, Liqing Qiu, Qi Zhang, Dickson K.W. Chiu, Rafał Rzepka, Kenji Araki and Michał Ptaszyński. Their work appears in journals such as Expert Systems with Applications, Security and Communication Networks, Journal of Signal Processing Systems, Actas Españolas de Psiquiatría and SHILAP Revista de lepidopterología.

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.

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