Da Li

458 total citations
17 papers, 280 citations indexed

About

Da Li is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Da Li has authored 17 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 6 papers in Hardware and Architecture. Recurrent topics in Da Li's work include Parallel Computing and Optimization Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Advanced Data Storage Technologies (4 papers). Da Li is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Advanced Data Storage Technologies (4 papers). Da Li collaborates with scholars based in United States, China and Japan. Da Li's co-authors include Michela Becchi, Ziliang Zong, Xinbo Chen, Shujuan Ji, Liqing Qiu, Qi Zhang, Dickson K.W. Chiu, Kenji Araki, Michał Ptaszyński and Rafał Rzepka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Security and Communication Networks.

In The Last Decade

Da Li

16 papers receiving 269 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Da Li United States 7 142 72 69 59 56 17 280
Priscila M. V. Lima Brazil 10 244 1.7× 42 0.6× 47 0.7× 80 1.4× 60 1.1× 57 378
Roel Peeters Belgium 8 78 0.5× 93 1.3× 105 1.5× 49 0.8× 60 1.1× 23 278
Gregory T. Byrd United States 10 119 0.8× 40 0.6× 61 0.9× 21 0.4× 204 3.6× 58 404
Xiaojun Chen China 9 232 1.6× 38 0.5× 24 0.3× 40 0.7× 79 1.4× 33 337
Qiong Luo Hong Kong 9 160 1.1× 54 0.8× 28 0.4× 151 2.6× 104 1.9× 30 343
Anthony Ndirango United States 4 126 0.9× 30 0.4× 72 1.0× 39 0.7× 29 0.5× 5 296
Adrian Dabrowski Austria 11 126 0.9× 106 1.5× 99 1.4× 24 0.4× 133 2.4× 21 333
Karzan Hussein Sharif Iraq 8 89 0.6× 186 2.6× 46 0.7× 28 0.5× 108 1.9× 18 359
Gheith A. Abandah Jordan 13 247 1.7× 32 0.4× 38 0.6× 294 5.0× 97 1.7× 45 563

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-authorship network of co-authors of Da Li

This figure shows the co-authorship network connecting the top 25 collaborators of Da Li. A scholar is included among the top collaborators of Da Li 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 Da Li. Da Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Chen, Shoulin, et al.. (2025). A Multi-Label Deep Learning Model for Detailed Classification of Alzheimer's Disease. Actas Españolas de Psiquiatría. 53(1). 89–99. 4 indexed citations
2.
Xiong, Ao, Wenjing Li, Dong Wang, et al.. (2025). Block-chain abnormal transaction detection method based on generative adversarial network and autoencoder. SHILAP Revista de lepidopterología. 5(4). 100313–100313. 1 indexed citations
3.
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5.
Zhou, Zhou, et al.. (2021). GTF: An Adaptive Network Anomaly Detection Method at the Network Edge. Security and Communication Networks. 2021. 1–12. 2 indexed citations
6.
Li, Da, Rafał Rzepka, Michał Ptaszyński, & Kenji Araki. (2019). Emoji-Aware Attention-based Bi-directional GRU Network Model for Chinese Sentiment Analysis.. International Joint Conference on Artificial Intelligence. 11–18. 4 indexed citations
7.
Li, Da, Rafał Rzepka, Michał Ptaszyński, & Kenji Araki. (2018). Emoticon-Aware Recurrent Neural Network Model for Chinese Sentiment Analysis. 161–166. 11 indexed citations
8.
Ji, Shujuan, et al.. (2018). An unsupervised topic-sentiment joint probabilistic model for detecting deceptive reviews. Expert Systems with Applications. 114. 210–223. 66 indexed citations
9.
Li, Da, et al.. (2018). Improved broad learning system: partial weights modification based on BP algorithm. IOP Conference Series Materials Science and Engineering. 439. 32083–32083. 4 indexed citations
10.
Li, Da, et al.. (2017). Exact Least Square Registration Algorithm for Multiple Dissimilar Sensors. 338–341. 3 indexed citations
11.
Li, Da, Xinbo Chen, Michela Becchi, & Ziliang Zong. (2016). Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs. 477–484. 112 indexed citations
12.
Li, Da, et al.. (2016). Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU. arXiv (Cornell University). 17 indexed citations
13.
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Li, Da, et al.. (2014). Large-Scale Pairwise Alignments on GPU Clusters: Exploring the Implementation Space. Journal of Signal Processing Systems. 77(1-2). 131–149. 3 indexed citations
16.
Li, Da & Michela Becchi. (2013). Deploying Graph Algorithms on GPUs: An Adaptive Solution. 1013–1024. 29 indexed citations
17.
Li, Da & Michela Becchi. (2012). Abstract: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. 1471–1472. 7 indexed citations

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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2026