Lin Li

4.1k total citations · 1 hit paper
243 papers, 2.0k citations indexed

About

Lin Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lin Li has authored 243 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Artificial Intelligence, 66 papers in Information Systems and 57 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lin Li's work include Topic Modeling (46 papers), Natural Language Processing Techniques (25 papers) and Recommender Systems and Techniques (24 papers). Lin Li is often cited by papers focused on Topic Modeling (46 papers), Natural Language Processing Techniques (25 papers) and Recommender Systems and Techniques (24 papers). Lin Li collaborates with scholars based in China, Australia and Japan. Lin Li's co-authors include Xiaohui Tao, Thanveer Shaik, Xujuan Zhou, Raj Gururajan, Niall Higgins, U. Rajendra Acharya, Guandong Xu, Jingling Yuan, Qing Xie and Haoran Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Lin Li

216 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

2023 212 citations Thanveer Shaik, Xiaohui Tao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lin Li China	22	1.0k	428	367	178	135	243	2.0k
Xiaohui Tao Australia	27	1.4k 1.3×	553 1.3×	271 0.7×	239 1.3×	124 0.9×	205	2.8k
Mourad Oussalah Finland	28	1.1k 1.1×	309 0.7×	506 1.4×	213 1.2×	82 0.6×	203	2.3k
Raheel Nawaz United Kingdom	29	1.1k 1.1×	453 1.1×	363 1.0×	317 1.8×	180 1.3×	161	2.9k
Azuraliza Abu Bakar Malaysia	21	961 0.9×	409 1.0×	168 0.5×	125 0.7×	97 0.7×	153	1.7k
Tong Xu China	26	1.2k 1.1×	468 1.1×	527 1.4×	113 0.6×	54 0.4×	149	2.2k
George D. Magoulas United Kingdom	28	1.1k 1.1×	452 1.1×	366 1.0×	88 0.5×	142 1.1×	145	2.8k
Ghulam Mujtaba Pakistan	20	873 0.9×	278 0.6×	423 1.2×	191 1.1×	157 1.2×	42	1.6k
M. Irfan Uddin Pakistan	25	784 0.8×	397 0.9×	425 1.2×	412 2.3×	148 1.1×	130	2.2k
Ninghao Liu United States	19	1.4k 1.4×	365 0.9×	253 0.7×	150 0.8×	80 0.6×	71	2.2k
Benjamin M. Marlin United States	24	1.1k 1.0×	596 1.4×	568 1.5×	231 1.3×	83 0.6×	84	2.4k

Countries citing papers authored by Lin Li

Since Specialization

Citations

This map shows the geographic impact of Lin 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 Lin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Li more than expected).

Fields of papers citing papers by Lin Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin 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 Lin Li. The network helps show where Lin Li may publish in the future.

Co-authorship network of co-authors of Lin Li

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Li, Lin, et al.. (2025). DC-LoRA: Domain correlation low-rank adaptation for domain incremental learning. SHILAP Revista de lepidopterología. 5(4). 100270–100270.

2.

Shaik, Thanveer, Xiaohui Tao, Lin Li, et al.. (2025). Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecasting. Knowledge-Based Systems. 326. 113941–113941. 1 indexed citations

3.

Li, Lin, et al.. (2024). Encoder–Decoder Calibration for Multimodal Machine Translation. IEEE Transactions on Artificial Intelligence. 5(8). 3965–3973. 7 indexed citations

4.

Tao, Xiaohui, Lin Li, Haoran Xie, et al.. (2024). Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning. ACM Transactions on Intelligent Systems and Technology. 15(2). 1–22. 5 indexed citations

5.

Li, Lin, et al.. (2024). MealRec ⁺ : A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness. 564–574. 2 indexed citations

6.

Li, Lin, et al.. (2023). Information fusion in crime event analysis: A decade survey on data, features and models. Information Fusion. 100. 101904–101904. 8 indexed citations

7.

Guang, Fengtao, et al.. (2023). Spatiotemporal heterogeneity and sources of electricity technology innovation in China. SHILAP Revista de lepidopterología. 45(7). 1324–1334. 1 indexed citations

8.

Li, Lin, et al.. (2023). Dual-interactive fusion for code-mixed deep representation learning in tag recommendation. Information Fusion. 99. 101862–101862. 27 indexed citations

9.

Shaik, Thanveer, Xiaohui Tao, Lin Li, et al.. (2023). Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion. Pattern Recognition Letters. 177. 121–127. 4 indexed citations

10.

Li, Lin, et al.. (2023). Tree-Like Interaction Learning for Bundle Recommendation. 1–5.

11.

Li, Lin, et al.. (2023). Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics. ACM Transactions on Information Systems. 42(3). 1–35.

12.

Tao, Xiaohui, Patrick Delaney, Lin Li, et al.. (2022). Data Analytics on Online Student Engagement Data for Academic Performance Modeling. IEEE Access. 10. 103176–103186. 8 indexed citations

13.

Gao, Wang, Lin Li, Xiaohui Tao, Jing Zhou, & Jun Tao. (2022). Identifying informative tweets during a pandemic via a topic-aware neural language model. World Wide Web. 26(1). 55–70. 8 indexed citations

14.

Liu, Aiwei, Honghai Yu, Xuming Hu, et al.. (2022). Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. 7664–7676. 14 indexed citations

15.

Xie, Qing, et al.. (2019). Interactive resource recommendation with optimization by tag association and significance analysis. Neurocomputing. 391. 210–219. 5 indexed citations

16.

Li, Lin, et al.. (2018). Unsupervised keyword extraction from microblog posts via hashtags. Journal of Web Engineering. 17. 93–120. 4 indexed citations

17.

Xie, Qing, et al.. (2018). Interactive resource recommendation algorithm based on tag information. World Wide Web. 21(6). 1655–1673. 8 indexed citations

18.

Liu, Jin, et al.. (2017). Deep web data extraction based on visual information processing. Journal of Ambient Intelligence and Humanized Computing. 15(2). 1481–1491. 7 indexed citations

19.

Li, Lin. (2009). LDA based feature selection for spam filter. Computer Engineering and Applications Journal. 2 indexed citations

20.

Li, Lin. (2003). KNOWLEDGE REPRESENTATION OF CARTOGRAPHIC GENERALIZATION. 2 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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