Li Chen

9.4k total citations · 4 hit papers
262 papers, 5.7k citations indexed

About

Li Chen is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Li Chen has authored 262 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Information Systems, 114 papers in Artificial Intelligence and 56 papers in Sociology and Political Science. Recurrent topics in Li Chen's work include Recommender Systems and Techniques (96 papers), Digital Marketing and Social Media (34 papers) and Sentiment Analysis and Opinion Mining (26 papers). Li Chen is often cited by papers focused on Recommender Systems and Techniques (96 papers), Digital Marketing and Social Media (34 papers) and Sentiment Analysis and Opinion Mining (26 papers). Li Chen collaborates with scholars based in Hong Kong, China and United States. Li Chen's co-authors include Pearl Pu, Rong Hu, Feng Wang, Lei Li, Weike Pan, Yongfeng Zhang, Guanliang Chen, Quan Yuan, Haoran Xie and Shiwan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Li Chen

232 papers receiving 5.4k citations

Hit Papers

A user-centric evaluation framework for recommender systems 2011 2026 2016 2021 2011 2014 2015 2023 100 200 300 400 500

Peers

Li Chen
Comparison fields: 5 of 158
  • Information Systems 3.0k
  • Artificial Intelligence 2.7k
  • Sociology and Political Science 996
  • Management Science and Operations Research 871
  • Computer Vision and Pattern Recognition 798
Replace Pearl Pu with:
Pearl Pu Switzerland
F. Maxwell Harper United States
Dietmar Jannach Austria
Marcos André Gonçalves Brazil
Brent Smith United States
Alexander Maedche Germany
Yiqun Liu China
Shaoping Ma China
David M. Pennock United States
Mounia Lalmas United Kingdom
Pearl Pu Switzerland View profile →
Citations per field, relative to Li Chen
Li Chen · 1×
Citations per year, relative to Li Chen
Li Chen · 1×

Countries citing papers authored by Li Chen

Since Specialization
Citations

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

Fields of papers citing papers by Li Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Chen

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 0
3 3
4 2
5 8
6 0
7 1
8 3
9 0
10 5
11 4
12 1
13 7
14
Personalized Prompt Learning for Explainable Recommendation breakdown →
90
15 1
16 19
17 8
18 75
19
Forecasting disease incidences using state space model
2
20 6

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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